54 Etl Processes jobs in Canada
Manager, Data Engineering
Toronto, Ontario
Autodesk
Posted 2 days ago
Job Viewed
Job Description
**Job Requisition ID #**
25WD89148
_The French translation can be found below!/La traduction en français se trouve ci-dessous!_
**Position Overview**
Autodesk has invested in data-driven decision-making, optimizing our platform's business, product, and cost. The next five years will transform how we work, with a surge in data volume and scaling of AI/ML to provide even greater value to our customers. Reporting to the Director, Insights and Analytics, the Manager, Data Engineering will build and lead a team focused on building scalable, reliable, and high-quality data pipelines and processes that power strategic analytics, data science and cost optimization activities across Autodesk's platform initiatives.
As part of the Analytics & Insights (A&I) team, you will play a critical role in enabling data-driven decision-making by building and maintaining trusted data pipelines, curated data models and analytics-ready datasets. You will work closely with analysts, data scientists, Finops engineers and product teams to build solutions that support reporting, experimentation, and advanced analytics at scale.
Preference for candidates in Toronto or Montreal, Canada.
**Responsibilities**
+ Lead and mentor a team of data engineers responsible for developing and maintaining data pipelines and infrastructure on platforms such as AWS and Snowflake
+ Define and drive the long-term vision for data engineering in alignment with Autodesk data platform strategy and analytics roadmap
+ Partner with analysts, data scientists, FinOps engineers, engineering and product teams to understand data needs and translate them into scalable data solutions
+ Establish clear standards for operational excellence and define "what good looks like" across all stages of the data lifecycle
+ Drive the design and development of data models and ETL/ELT processes that ensure high data quality, availability, and performance
+ Champion and implement data engineering best practices, including testing, documentation, governance, and observability
+ Leverage AI-driven approaches in data workflows, including anomaly detection, orchestration optimization, and automated code generation
+ Manage project timelines, resources, and priorities across multiple initiatives in a fast-paced, cross-functional environment
+ Stay current with emerging trends in data engineering and proactively evolve the team's capabilities and toolset
**Minimum Qualifications**
+ 10 years of experience in data engineering, with at least 4 years in a leadership or management role
+ Demonstrated success leading technical teams and delivering complex data engineering projects
+ Experience working with cloud data platforms (e.g., AWS, Snowflake, Databricks) and orchestration tools (e.g., Airflow)
+ Proficient in SQL, Python, and data modeling best practices
+ Knowledge of big data processing frameworks (e.g. Spark, Hadoop)
+ Experience building and maintaining large-scale batch and real-time data pipelines
+ Experience with both ETL and ELT pipelines, including traditional ETL tools (e.g., Airflow, Informatica) and modern ELT frameworks (e.g., dbt, Snowflake)
+ Excellent communication and stakeholder management skills
+ Drive scalable architecture through platform systems design and modern design patterns
**Preferred Qualifications**
+ Experience working in product/platform organizations or supporting data engineering for SaaS-based applications
+ Familiarity with data quality frameworks, observability tools, and CI/CD for data
+ Knowledge of FinOps practices, data security, and compliance in cloud environments
+ Knowledge of AWS IAM roles, permissions, and best practices for least-privilege access
+ Passion for coaching talent and building inclusive, high-performing teams
---
**Description du poste**
Autodesk a investi dans la prise de décision basée sur les données afin d'optimiser les activités, les produits et les coûts de notre plateforme. Les cinq prochaines années vont transformer notre façon de travailler, avec une augmentation considérable du volume de données et le développement de l'IA/ML afin d'offrir encore plus de valeur à nos clients. Sous la responsabilité du directeur Insights and Analytics, le responsable de l'ingénierie des données constituera et dirigera une équipe chargée de mettre en place des pipelines et des processus de données évolutifs, fiables et de haute qualité qui alimenteront les activités d'analyse stratégique, de science des données et d'optimisation des coûts dans le cadre des initiatives de la plateforme Autodesk.
Au sein de l'équipe Analytics & Insights (A&I), vous jouerez un rôle essentiel dans la prise de décisions basées sur les données en créant et en maintenant des pipelines de données fiables, des modèles de données organisés et des ensembles de données prêts à être analysés. Vous travaillerez en étroite collaboration avec des analystes, des scientifiques des données, des ingénieurs Finops et des équipes produit afin de créer des solutions qui prennent en charge le reporting, l'expérimentation et l'analyse avancée à grande échelle.
Les candidats basés à Toronto ou à Montréal, au Canada, seront privilégiés.
**Responsabilités**
+ Diriger et encadrer une équipe d'ingénieurs de données chargés de développer et de maintenir des pipelines de données et des infrastructures sur des plateformes telles qu'AWS et Snowflake
+ Définir et piloter la vision à long terme de l'ingénierie des données en accord avec la stratégie de plateforme de données et la feuille de route analytique d'Autodesk
+ Collaborer avec les analystes, les scientifiques de données, les ingénieurs FinOps, les équipes d'ingénierie et les équipes produit afin de comprendre les besoins en matière de données et de les traduire en solutions de données évolutives
+ Établir des normes claires d'excellence opérationnelle et définir ce qui constitue une bonne pratique à toutes les étapes du cycle de vie des données
+ Diriger la conception et le développement de modèles de données et de processus ETL/ELT qui garantissent la qualité, la disponibilité et la performance des données
+ Promouvoir et mettre en œuvre les meilleures pratiques en matière d'ingénierie des données, notamment les tests, la documentation, la gouvernance et l'observabilité
+ Tirer parti des approches basées sur l'IA dans les flux de données, notamment la détection des anomalies, l'optimisation de l'orchestration et la génération automatisée de code
+ Gérer les calendriers, les ressources et les priorités des projets dans le cadre de multiples initiatives, dans un environnement dynamique et interfonctionnel
+ Se tenir au courant des nouvelles tendances en matière d'ingénierie des données et faire évoluer de manière proactive les capacités et les outils de l'équipe
**Qualifications minimales**
+ 10 ans d'expérience en ingénierie des données, dont au moins 4 ans dans un rôle de direction ou de gestion
+ Expérience avérée dans la direction d'équipes techniques et la réalisation de projets complexes d'ingénierie des données
+ Expérience de travail avec des plateformes de données cloud (par exemple, AWS, Snowflake, Databricks) et des outils d'orchestration (par exemple, Airflow)
+ Maîtrise de SQL, Python et des meilleures pratiques en matière de modélisation des données
+ Connaissance des cadres de traitement des mégadonnées (par exemple, Spark, Hadoop)
+ Expérience dans la création et la maintenance de pipelines de données à grande échelle, par lots et en temps réel
+ Expérience avec les pipelines ETL et ELT, y compris les outils ETL traditionnels (par exemple, Airflow, Informatica) et les cadres ELT modernes (par exemple, dbt, Snowflake)
+ Excellentes compétences en communication et en gestion des parties prenantes
+ Capacité à mettre en œuvre une architecture évolutive grâce à la conception de systèmes de plateformes et à des modèles de conception modernes
**Qualifications souhaitées**
+ Expérience dans des organisations de produits/plateformes ou dans le soutien à l'ingénierie des données pour des applications SaaS
+ Connaissance des cadres de qualité des données, des outils d'observabilité et du CI/CD pour les données
+ Connaissance des pratiques FinOps, de la sécurité des données et de la conformité dans les environnements cloud
+ Connaissance des rôles, des autorisations et des meilleures pratiques AWS IAM pour un accès avec le moins de privilèges possible
+ Passion pour l'accompagnement des talents et la constitution d'équipes inclusives et performantes
**Learn More / Plus d'information**
**About Autodesk /** **À propos d'Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Bienvenue chez Autodesk ! Nos logiciels créent chaque jour des choses extraordinaires : des bâtiments les plus écologiques aux voitures les plus propres, en passant par les usines les plus intelligentes et les films à succès. Nous aidons les innovateurs à concrétiser leurs idées, transformant non seulement la façon dont les choses sont fabriquées, mais aussi ce qui peut l'être. Nous sommes très fiers de notre culture chez Autodesk ; elle est au cœur de tout ce que nous faisons. Notre culture guide notre façon de travailler et de nous comporter les uns envers les autres, influence nos interactions avec nos clients et nos partenaires, et définit notre image au monde. En tant qu'Autodeskien, vous pouvez accomplir un travail significatif qui contribue à bâtir un monde meilleur, conçu et réalisé pour tous. Prêt à façonner le monde et votre avenir ? Rejoignez-nous !
**Salary transparency /** **Transparence salariale**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk. Pour les postes basés au Canada (Colombie-Britannique), nous proposons un salaire de base compris entre X et X dollars. Les offres sont basées sur l'expérience et la situation géographique du candidat et peuvent dépasser cette fourchette. En plus du salaire de base, notre programme de rémunération peut inclure des primes annuelles en espèces, des commissions pour les postes commerciaux, des attributions d'actions et un ensemble complet d'avantages sociaux.
**Diversity & Belonging /** **Diversité et appurtenance**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: sommes fiers de cultiver une culture d'appartenance où chacun peut s'épanouir. Pour en savoir plus, cliquez ici : you an existing contractor or consultant with Autodesk?**
**Êtes-vous un sous-traitant ou un consultant existant d'Autodesk ?**
Please search for open jobs and apply internally (not on this external site).
Veuillez rechercher des emplois vacants et postuler à l'interne (pas sur ce site externe).
25WD89148
_The French translation can be found below!/La traduction en français se trouve ci-dessous!_
**Position Overview**
Autodesk has invested in data-driven decision-making, optimizing our platform's business, product, and cost. The next five years will transform how we work, with a surge in data volume and scaling of AI/ML to provide even greater value to our customers. Reporting to the Director, Insights and Analytics, the Manager, Data Engineering will build and lead a team focused on building scalable, reliable, and high-quality data pipelines and processes that power strategic analytics, data science and cost optimization activities across Autodesk's platform initiatives.
As part of the Analytics & Insights (A&I) team, you will play a critical role in enabling data-driven decision-making by building and maintaining trusted data pipelines, curated data models and analytics-ready datasets. You will work closely with analysts, data scientists, Finops engineers and product teams to build solutions that support reporting, experimentation, and advanced analytics at scale.
Preference for candidates in Toronto or Montreal, Canada.
**Responsibilities**
+ Lead and mentor a team of data engineers responsible for developing and maintaining data pipelines and infrastructure on platforms such as AWS and Snowflake
+ Define and drive the long-term vision for data engineering in alignment with Autodesk data platform strategy and analytics roadmap
+ Partner with analysts, data scientists, FinOps engineers, engineering and product teams to understand data needs and translate them into scalable data solutions
+ Establish clear standards for operational excellence and define "what good looks like" across all stages of the data lifecycle
+ Drive the design and development of data models and ETL/ELT processes that ensure high data quality, availability, and performance
+ Champion and implement data engineering best practices, including testing, documentation, governance, and observability
+ Leverage AI-driven approaches in data workflows, including anomaly detection, orchestration optimization, and automated code generation
+ Manage project timelines, resources, and priorities across multiple initiatives in a fast-paced, cross-functional environment
+ Stay current with emerging trends in data engineering and proactively evolve the team's capabilities and toolset
**Minimum Qualifications**
+ 10 years of experience in data engineering, with at least 4 years in a leadership or management role
+ Demonstrated success leading technical teams and delivering complex data engineering projects
+ Experience working with cloud data platforms (e.g., AWS, Snowflake, Databricks) and orchestration tools (e.g., Airflow)
+ Proficient in SQL, Python, and data modeling best practices
+ Knowledge of big data processing frameworks (e.g. Spark, Hadoop)
+ Experience building and maintaining large-scale batch and real-time data pipelines
+ Experience with both ETL and ELT pipelines, including traditional ETL tools (e.g., Airflow, Informatica) and modern ELT frameworks (e.g., dbt, Snowflake)
+ Excellent communication and stakeholder management skills
+ Drive scalable architecture through platform systems design and modern design patterns
**Preferred Qualifications**
+ Experience working in product/platform organizations or supporting data engineering for SaaS-based applications
+ Familiarity with data quality frameworks, observability tools, and CI/CD for data
+ Knowledge of FinOps practices, data security, and compliance in cloud environments
+ Knowledge of AWS IAM roles, permissions, and best practices for least-privilege access
+ Passion for coaching talent and building inclusive, high-performing teams
---
**Description du poste**
Autodesk a investi dans la prise de décision basée sur les données afin d'optimiser les activités, les produits et les coûts de notre plateforme. Les cinq prochaines années vont transformer notre façon de travailler, avec une augmentation considérable du volume de données et le développement de l'IA/ML afin d'offrir encore plus de valeur à nos clients. Sous la responsabilité du directeur Insights and Analytics, le responsable de l'ingénierie des données constituera et dirigera une équipe chargée de mettre en place des pipelines et des processus de données évolutifs, fiables et de haute qualité qui alimenteront les activités d'analyse stratégique, de science des données et d'optimisation des coûts dans le cadre des initiatives de la plateforme Autodesk.
Au sein de l'équipe Analytics & Insights (A&I), vous jouerez un rôle essentiel dans la prise de décisions basées sur les données en créant et en maintenant des pipelines de données fiables, des modèles de données organisés et des ensembles de données prêts à être analysés. Vous travaillerez en étroite collaboration avec des analystes, des scientifiques des données, des ingénieurs Finops et des équipes produit afin de créer des solutions qui prennent en charge le reporting, l'expérimentation et l'analyse avancée à grande échelle.
Les candidats basés à Toronto ou à Montréal, au Canada, seront privilégiés.
**Responsabilités**
+ Diriger et encadrer une équipe d'ingénieurs de données chargés de développer et de maintenir des pipelines de données et des infrastructures sur des plateformes telles qu'AWS et Snowflake
+ Définir et piloter la vision à long terme de l'ingénierie des données en accord avec la stratégie de plateforme de données et la feuille de route analytique d'Autodesk
+ Collaborer avec les analystes, les scientifiques de données, les ingénieurs FinOps, les équipes d'ingénierie et les équipes produit afin de comprendre les besoins en matière de données et de les traduire en solutions de données évolutives
+ Établir des normes claires d'excellence opérationnelle et définir ce qui constitue une bonne pratique à toutes les étapes du cycle de vie des données
+ Diriger la conception et le développement de modèles de données et de processus ETL/ELT qui garantissent la qualité, la disponibilité et la performance des données
+ Promouvoir et mettre en œuvre les meilleures pratiques en matière d'ingénierie des données, notamment les tests, la documentation, la gouvernance et l'observabilité
+ Tirer parti des approches basées sur l'IA dans les flux de données, notamment la détection des anomalies, l'optimisation de l'orchestration et la génération automatisée de code
+ Gérer les calendriers, les ressources et les priorités des projets dans le cadre de multiples initiatives, dans un environnement dynamique et interfonctionnel
+ Se tenir au courant des nouvelles tendances en matière d'ingénierie des données et faire évoluer de manière proactive les capacités et les outils de l'équipe
**Qualifications minimales**
+ 10 ans d'expérience en ingénierie des données, dont au moins 4 ans dans un rôle de direction ou de gestion
+ Expérience avérée dans la direction d'équipes techniques et la réalisation de projets complexes d'ingénierie des données
+ Expérience de travail avec des plateformes de données cloud (par exemple, AWS, Snowflake, Databricks) et des outils d'orchestration (par exemple, Airflow)
+ Maîtrise de SQL, Python et des meilleures pratiques en matière de modélisation des données
+ Connaissance des cadres de traitement des mégadonnées (par exemple, Spark, Hadoop)
+ Expérience dans la création et la maintenance de pipelines de données à grande échelle, par lots et en temps réel
+ Expérience avec les pipelines ETL et ELT, y compris les outils ETL traditionnels (par exemple, Airflow, Informatica) et les cadres ELT modernes (par exemple, dbt, Snowflake)
+ Excellentes compétences en communication et en gestion des parties prenantes
+ Capacité à mettre en œuvre une architecture évolutive grâce à la conception de systèmes de plateformes et à des modèles de conception modernes
**Qualifications souhaitées**
+ Expérience dans des organisations de produits/plateformes ou dans le soutien à l'ingénierie des données pour des applications SaaS
+ Connaissance des cadres de qualité des données, des outils d'observabilité et du CI/CD pour les données
+ Connaissance des pratiques FinOps, de la sécurité des données et de la conformité dans les environnements cloud
+ Connaissance des rôles, des autorisations et des meilleures pratiques AWS IAM pour un accès avec le moins de privilèges possible
+ Passion pour l'accompagnement des talents et la constitution d'équipes inclusives et performantes
**Learn More / Plus d'information**
**About Autodesk /** **À propos d'Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Bienvenue chez Autodesk ! Nos logiciels créent chaque jour des choses extraordinaires : des bâtiments les plus écologiques aux voitures les plus propres, en passant par les usines les plus intelligentes et les films à succès. Nous aidons les innovateurs à concrétiser leurs idées, transformant non seulement la façon dont les choses sont fabriquées, mais aussi ce qui peut l'être. Nous sommes très fiers de notre culture chez Autodesk ; elle est au cœur de tout ce que nous faisons. Notre culture guide notre façon de travailler et de nous comporter les uns envers les autres, influence nos interactions avec nos clients et nos partenaires, et définit notre image au monde. En tant qu'Autodeskien, vous pouvez accomplir un travail significatif qui contribue à bâtir un monde meilleur, conçu et réalisé pour tous. Prêt à façonner le monde et votre avenir ? Rejoignez-nous !
**Salary transparency /** **Transparence salariale**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk. Pour les postes basés au Canada (Colombie-Britannique), nous proposons un salaire de base compris entre X et X dollars. Les offres sont basées sur l'expérience et la situation géographique du candidat et peuvent dépasser cette fourchette. En plus du salaire de base, notre programme de rémunération peut inclure des primes annuelles en espèces, des commissions pour les postes commerciaux, des attributions d'actions et un ensemble complet d'avantages sociaux.
**Diversity & Belonging /** **Diversité et appurtenance**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: sommes fiers de cultiver une culture d'appartenance où chacun peut s'épanouir. Pour en savoir plus, cliquez ici : you an existing contractor or consultant with Autodesk?**
**Êtes-vous un sous-traitant ou un consultant existant d'Autodesk ?**
Please search for open jobs and apply internally (not on this external site).
Veuillez rechercher des emplois vacants et postuler à l'interne (pas sur ce site externe).
This advertiser has chosen not to accept applicants from your region.
0
Lead Data Engineering
Dorval, Quebec
Bombardier
Posted 2 days ago
Job Viewed
Job Description
_When applicable, Bombardier promotes flexible and hybrid work policies._
**Why join us?**
At Bombardier, we design, build and maintain the world's peak-performing aircraft for the world's most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.
Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of what's possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise.
**Bombardier's Benefits Program**
With our employees' well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
+ Insurance plans _(Dental, medical, life insurance, disability, and more)_
+ Competitive base salary
+ Retirement savings plan
+ Employee Assistance Program
+ Tele Health Program
**What are your contributions to the team?**
+ Lead/Administer the enterprise data platform (DWH, Data Lake)
+ Create and maintain optimal/reliable data pipeline architecture to meet business needs
+ Define and operate the infrastructure required for optimal extraction, transformation and loading (ETL) of data from a wide variety of data sources using SQL and 'big data' technologies as needed (Parquet, Delta format, Python, Spark, Kafka, NoSQL, SQL)
+ Design and implement life cycle management processes (DevOps) to enable continuous integration and continuous deployment (CICD) of data systems
+ Integrate data from various resources (including external data sources and IoT) and manage the big data as a key enterprise asset
+ Create and maintain backend data solutions for data analysts and data scientists. Assist them in unlocking insight from enterprise data
+ Identify, design, and implement internal process and framework (e.g. elimination of manual processes, optimizing data delivery, evolving data infrastructure capabilities, etc.)
+ Work with stakeholders including product, data and architecture SME to assist with data-related technical issues and support their data infrastructure needs
+ Ensure compliance to data architecture and security requirements
+ Identify data quality issue and make recommendation for addressing root causes
+ Setup observability/monitoring to measure reliability of the data pipelines and act quickly (e.g. operational support) in case of incident.
**How to thrive in this role?**
+ You hold a bachelor's degree in computer science, Statistics, Informatics, Information Systems or another quantitative field
+ You have 10 years of experience in a Data Engineer / Data Specialist role
+ You have experience coaching/leading a small team (technical leadership)
+ You have knowledge of Agile / SCRUM project delivery, DevOps and CICD practices
+ You have advanced knowledge of SQL, query authoring and relational databases
+ You have experience optimizing 'big data' pipelines (storage, file format, partitioning, spark, python, streaming)
+ You are efficient at performing root cause analysis to address issues and applying long-term fix
+ You have experience designing and building data transformation, data structures, metadata framework and automated workload management
+ You have experience in data protection measures, data privacy and collaborating with Cyber team
+ You have good knowledge of Azure data services (Azure Data Factory, Synapse, Azure Data Lake Storage, Event Hub, Databricks, Delta lake, Cognitive Services, .)
+ You have good knowledge of Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
+ You have good people skills and are a team player, motivated by developing other people
+ You are a good communicator, who can simplify complex technical issue for non-technical people. You can work in an environment with a mix of French and English languages.
**Now that you can see yourself in this role, apply and join the Bombardier Team!**
Please note: You don't need _all_ the skills, knowledge, and experience listed to apply for this position. We're not looking for the perfect candidate, we're looking for great talent and passionate individuals.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply.
**Job** Lead Data Engineering
**Primary Location** Administrative Centre (CA)
**Organization** Aerospace Canada
**Shift**
**Employee Status** Regular
**Requisition** 7848 Lead Data Engineering
**Why join us?**
At Bombardier, we design, build and maintain the world's peak-performing aircraft for the world's most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.
Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of what's possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise.
**Bombardier's Benefits Program**
With our employees' well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
+ Insurance plans _(Dental, medical, life insurance, disability, and more)_
+ Competitive base salary
+ Retirement savings plan
+ Employee Assistance Program
+ Tele Health Program
**What are your contributions to the team?**
+ Lead/Administer the enterprise data platform (DWH, Data Lake)
+ Create and maintain optimal/reliable data pipeline architecture to meet business needs
+ Define and operate the infrastructure required for optimal extraction, transformation and loading (ETL) of data from a wide variety of data sources using SQL and 'big data' technologies as needed (Parquet, Delta format, Python, Spark, Kafka, NoSQL, SQL)
+ Design and implement life cycle management processes (DevOps) to enable continuous integration and continuous deployment (CICD) of data systems
+ Integrate data from various resources (including external data sources and IoT) and manage the big data as a key enterprise asset
+ Create and maintain backend data solutions for data analysts and data scientists. Assist them in unlocking insight from enterprise data
+ Identify, design, and implement internal process and framework (e.g. elimination of manual processes, optimizing data delivery, evolving data infrastructure capabilities, etc.)
+ Work with stakeholders including product, data and architecture SME to assist with data-related technical issues and support their data infrastructure needs
+ Ensure compliance to data architecture and security requirements
+ Identify data quality issue and make recommendation for addressing root causes
+ Setup observability/monitoring to measure reliability of the data pipelines and act quickly (e.g. operational support) in case of incident.
**How to thrive in this role?**
+ You hold a bachelor's degree in computer science, Statistics, Informatics, Information Systems or another quantitative field
+ You have 10 years of experience in a Data Engineer / Data Specialist role
+ You have experience coaching/leading a small team (technical leadership)
+ You have knowledge of Agile / SCRUM project delivery, DevOps and CICD practices
+ You have advanced knowledge of SQL, query authoring and relational databases
+ You have experience optimizing 'big data' pipelines (storage, file format, partitioning, spark, python, streaming)
+ You are efficient at performing root cause analysis to address issues and applying long-term fix
+ You have experience designing and building data transformation, data structures, metadata framework and automated workload management
+ You have experience in data protection measures, data privacy and collaborating with Cyber team
+ You have good knowledge of Azure data services (Azure Data Factory, Synapse, Azure Data Lake Storage, Event Hub, Databricks, Delta lake, Cognitive Services, .)
+ You have good knowledge of Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
+ You have good people skills and are a team player, motivated by developing other people
+ You are a good communicator, who can simplify complex technical issue for non-technical people. You can work in an environment with a mix of French and English languages.
**Now that you can see yourself in this role, apply and join the Bombardier Team!**
Please note: You don't need _all_ the skills, knowledge, and experience listed to apply for this position. We're not looking for the perfect candidate, we're looking for great talent and passionate individuals.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply.
**Job** Lead Data Engineering
**Primary Location** Administrative Centre (CA)
**Organization** Aerospace Canada
**Shift**
**Employee Status** Regular
**Requisition** 7848 Lead Data Engineering
This advertiser has chosen not to accept applicants from your region.
1
Manager, Data Engineering
Toronto, Ontario
CI Financial Corp.
Posted today
Job Viewed
Job Description
Job Description
Job Description
Description
At CI, we see a great place to work as one that is a safe place for everyone to have a voice, where people are empowered to take ownership over meaningful work, where there is an opportunity to grow through stretching themselves, where they can work on innovative products and projects, and where employees are supported and engaged in doing so.
CI Financial is looking for an innovative leader to join our Data, AI & Analytics (DNA) team as the Manager of Data Engineering (Delivery). In this managerial role within the DNA team, you will oversee & perform the design, development, and optimization of scalable data pipelines and data models that enable seamless, reliable data flow and consumption across a variety of systems. Your work will support business objectives and empower data-driven decision-making. You will support the continuous advancement of our data engineering delivery practices, ensure data integrity, availability, and security, while promote strong collaboration across CI Global Asset Management.
KEY RESPONSIBILITIES:
Leadership & Strategy:
- Manage and lead a team of data engineers to deliver high-quality data solutions.
- Take ownership of project/initiative delivery, including planning, development, testing, and deployment, while working closely with cross-functional teams to ensure successful and timely outcomes.
Data Engineering:
- Design, development, and optimization of scalable data pipelines, data models to enable reliable data movement & consumption across diverse systems.
- Champion best practices in code quality and data architecture within the team.
- Develop and enhance data ingestion, transformation, and validation frameworks to improve productivity and ensure high data accuracy.
- Drive continuous improvements in platform architecture and CI/CD practices.
Collaboration & Communication:
- Collaborate closely with business analysts, product owners and business stakeholders to translate complex business problems into technical solutions.
Performance Optimization & Scalability:
- Troubleshoot and resolve production issues, including performance bottlenecks, data quality problems, and system failures; proactively identify recurring issues and optimize existing processes for reliability and efficiency.
- Drive continuous improvement of data platforms through automation, optimization, and monitoring.
Qualifications:
- 7+ years of hands-on experience in data engineering including 1–2 years of proven experience in managing high-performing data engineering or technology teams.
- Expertise in architecting and building scalable data platforms, ETL/ELT pipelines, and data integration solutions.
- Solid understanding of data warehousing concept and data architecture (Kimball and/or Data Vault 2.0 methodologies)
- Proficiency in languages like SQL and Python and experience with Snowflake or similar data platforms.
- Strong project management skills with experience leading data engineering projects, including defining project scope, timelines, and deliverables, and managing project risks.
- Ability to navigate between technical and business audiences.
- Exceptional problem-solving abilities with proven record of tackling complex data challenges and delivering practical, impactful solutions.
- Experience with DevOps practices, including CI/CD pipelines and automated deployment/testing frameworks.
Preferred Qualifications:
- Knowledge of asset management, financial services, or wealth management industries
WHAT WE OFFER
- Modern HQ location within walking distance from Union Station.
- Equipment Purchase Program.
- Training Reimbursement.
- Paid Professional Designations.
- Employee Share Purchase Program (ESPP).
- Corporate Discount Program.
- Enhanced group benefits.
- Parental Leave Top–up program.
- Fitness membership discounts.
- Volunteer paid Days.
We are focused on building a diverse and inclusive workforce. If you are excited about this role and are not confident you meet all the qualification requirements, we encourage you to apply to investigate the opportunity further.
Please submit your resume in confidence by clicking “Apply”. Only qualified candidates selected for an interview will be contacted. CI Financial Corp. and all of our affiliates (“CI”) are committed to fair and accessible employment practices and provide reasonable accommodations for persons with disabilities. If you require accommodations in order to apply for any job opportunities, require this posting in an additional format, or require accommodation at any stage of the recruitment process please contact us at , or call ext. 4747.
This advertiser has chosen not to accept applicants from your region.
2
Manager, Data Engineering
Calgary, Alberta
Symend
Posted today
Job Viewed
Job Description
Job Description
Job Description
The Manager of Data Engineering is responsible for leading a team of Data Engineers in an agile development environment while driving innovation within our data warehouse and associated pipelines to meet the growing demands of our clients.
This role requires technical depth, exceptional project strategy and communication skills, and a passion for growing teams and individuals managing accessibility, privacy, quality, and availability of customer data.
We’re looking for a Data Engineering Manager who thrives at the intersection of hands-on engineering, technical leadership, and team management. You will lead a team of data engineers while remaining close to the architecture and implementation of our modern data platform. This is a highly impactful role where you'll drive data strategy, enforce engineering best practices, and optimize the data ecosystem for performance, scale, and cost efficiency.
Leadership & Team Management:
- Manage and mentor a high-performing data engineering team, fostering growth and accountability.
- Lead hiring, onboarding, and career development for engineers.
- Translate business needs into engineering roadmaps with clear priorities and outcomes.
- Partner with Engineering and other development technical leads to understand roadblocks, gaps in knowledge, core competencies and opportunities to improve data access and usability.
Technical Strategy & Architecture:
- Own the end-to-end architecture of the modern data stack—covering ingestion, transformation, storage, and analytics.
- Set direction for scalable, modular data pipelines using tools like Airbyte, dbt, Sisense, and Snowflake.
- Define and enforce best practices for SDLC, CI/CD, version control, and data testing within the team.
- Partner with product, analytics, and platform teams to design future-proof data models and infrastructure.
Platform Ownership & DataOps:
- Oversee ingestion pipelines (Airbyte/ADF), data transformation (dbt), and warehousing (Snowflake).
- Drive DataOps maturity—automated testing, CI/CD pipelines, monitoring, and deployment workflows.
- Ensure system observability, alerting, logging, and data quality enforcement at scale.
Infrastructure, Vendor, and Cost Optimization:
- Lead cloud data platform operations with a focus on performance tuning, permission management cost optimization, and SLA compliance.
- Manage vendor relationships, tool evaluations, contract renewals, and performance assessments.
- Continuously assess and improve infrastructure reliability, resilience, and operational efficiency.
- Bachelor’s Degree in Computer Science, Engineering, or related technical discipline
- 8+ years of experience in data engineering, with 2–4+ years in a management or technical lead capacity.
- Experience balancing hands-on execution with team leadership, mentoring, and cross-functional collaboration.
- Proven track record in coaching and mentoring data engineers
- Strong understanding of modern infrastructure, development tools, and software delivery practices
- Strong SQL skills with advanced knowledge of Joins, Unions, CTEs, Aggregations, Lag/Lead, and optimization techniques.
- Proficiency in Python for data manipulation, scripting, and automation.
- Experience working with Snowflake, dbt, and Azure Data Factory (ADF).
- Demonstrated experience in data modeling, including dimensional and modern approaches (Star, Snowflake, OWD).
- Hands-on experience in building and maintaining data pipelines (ETL/ELT).
- Understanding of cost optimization, caching, partitioning, and indexing strategies for performance tuning.
- Familiarity with BI tools such as Power BI, Sisense, Looker, Tableau, and Domo.
- Experience with customer personalization solutions and handling large datasets.
- Exposure to scripting languages like Python, Perl, or Shell.
- Ownership : Leads the team with a strong sense of accountability for data warehouse reliability, security, and performance. Defines clear expectations and processes, fosters team autonomy, and supports the development of future leaders. Acts as the escalation point for complex decisions and operational tradeoffs.
- Curiosity : Drives improvement by identifying new technologies, tools, and practices. Encourages the team to challenge assumptions and implement innovations that align with platform and business goals.
- Resilience : Provides steady leadership through incidents and change. Anticipates risks, maintains focus under pressure, and strengthens the team’s ability to deliver in high-stakes or uncertain situations.
- Collaboration : Leads alignment across teams by building strong partnerships and driving shared outcomes. Communicates technical direction clearly to diverse audiences and ensures coordinated execution.
- Strategic Execution : Aligns team efforts with platform and business priorities. Manages dependencies, drives high-impact work, and builds scalable processes for consistent, high-quality delivery.
- Technical Proficiency : Applies deep infrastructure and DevOps expertise to guide technical decisions. Ensures solutions meet performance and security standards, and mentors the team to raise technical quality.
- Product Knowledge : Applies a strong understanding of Symend’s platform and infrastructure needs to guide team priorities. Connects technical decisions to product performance and customer outcomes, and partners with Product and Engineering to ensure infrastructure supports product growth and differentiation.
Powered by JazzHR
LPcMSSHujU
This advertiser has chosen not to accept applicants from your region.
3
Sr. Manager, Data Engineering
British Columbia, British Columbia
Vail Resorts
Posted today
Job Viewed
Job Description
Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you!
Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first).
**Job Summary:**
As a Sr. Manager, Data Engineering at Vail Resorts, you will be responsible for leading and managing a team of Data Engineers to ensure the efficient and effective delivery of data pipelines. You will oversee the design, implementation, and maintenance of data pipelines, ensuring seamless collaboration and automation across our development teams and QE teams. Your expertise will be instrumental in implementation and optimization of our data infrastructure and application pipelines, automated QE framework, resulting in accelerated time-to-value.
**Job Specifications:**
+ Starting Wage: $117.000 - $57,000 + annual bonus
+ Employment Type: Year Round
+ Shift Type: Full Time hours available
+ Other Specifics: Remote
**Job Responsibilities** :
+ Lead and manage a team of Data Engineers responsible for data pipeline automation
+ Define and implement strategies and best practices for data engineering
+ Oversee design, implementation, and maintenance of code pipelines for platform infrastructure and application ex: data ingestion, transformation, and delivery
+ Collaborate with DevOps team and other stakeholders to understand requirements and translate them into effective CI/CD solutions
+ Ensure the effective integration of Databricks notebooks and workflows into DevOps pipelines
+ Integrate with external APIs and services (e.g., RESTful APIs) to exchange data and trigger actions
+ Design and Develop data APIs and API Management layer
+ Implement and maintain infrastructure as code (IaC) using tools like Terraform or Ansible
+ Participate in code reviews and contribute to the improvement of development processes
+ Monitor and optimize the performance of pipelines and environments
+ Oversee and assist troubleshooting and resolution of issues related to data pipelines and DevOps
+ Stay up-to-date with the latest data pipeline features, Databricks capabilities, and best practices for data engineering
+ Mentor and guide team members in data engineering and DevOps practices
+ Foster a culture of innovation, collaboration, and continuous improvement within the team
**Job Requirements:**
+ Bachelor's degree in Computer Science, Data Engineering, or a related engineering field
+ 8+ years of experience in data engineering
+ 5+ years of experience leading and managing technical teams
+ 5+ years of experience working with Git or similar CI/CD tools
+ Strong proficiency in configuration languages (Terraform, YAML)
+ Strong proficiency in Python, PySpark, SQL
+ Experience with data engineering tools and frameworks (Delta Lake, DataBricks, SQL)
+ Experience with containerization tools like Docker and Kubernetes
+ In-depth knowledge of DevOps and its capabilities for data engineering
+ Strong understanding of data engineering principles and practices
+ Experience with Databricks and its capabilities for data engineering
+ Experience with Event based architecture implementation
+ Experience with cloud computing concepts and Azure services
+ Familiarity with data quality and validation tools
+ Excellent communication and interpersonal skills
+ Strong leadership and organizational skills
+ Ability to drive results and meet deadlines
**Preferred Qualifications:**
+ Knowledge of cloud data architecture and data management principles
+ Certification in Azure DevOps, Databricks, Terraform, or related technologies
The expected Total Compensation for this role is 117.000 - 157,000 + annual bonus. Individual compensation decisions are based on a variety of factors.
**Job Benefits**
+ Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons
+ MORE employee discounts on lodging, food, gear, and mountain shuttles
+ 401(k) Retirement Plan
+ Employee Assistance Program
+ Excellent training and professional development
Full Time roles are eligible for the above, plus:
+ Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours)
+ Free ski passes for dependents
+ Critical Illness and Accident plans
Vail Resorts offers a 'Hybrid' work environment where employees living within 50 miles of the Broomfield office work on-site Tuesday, Wednesday, Thursday and have flexibility to work off-site on Mondays and Fridays. Employees living outside of a commutable distance can work remotely from British Columbia, Washington D.C., and the 16 U.S. states* in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming.
Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion.
In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution.
We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers.
Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law.
_Requisition ID _
_Reference Date: 06/20/2025_
_Job Code Function: Data Warehouse/Business Intel_
Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first).
**Job Summary:**
As a Sr. Manager, Data Engineering at Vail Resorts, you will be responsible for leading and managing a team of Data Engineers to ensure the efficient and effective delivery of data pipelines. You will oversee the design, implementation, and maintenance of data pipelines, ensuring seamless collaboration and automation across our development teams and QE teams. Your expertise will be instrumental in implementation and optimization of our data infrastructure and application pipelines, automated QE framework, resulting in accelerated time-to-value.
**Job Specifications:**
+ Starting Wage: $117.000 - $57,000 + annual bonus
+ Employment Type: Year Round
+ Shift Type: Full Time hours available
+ Other Specifics: Remote
**Job Responsibilities** :
+ Lead and manage a team of Data Engineers responsible for data pipeline automation
+ Define and implement strategies and best practices for data engineering
+ Oversee design, implementation, and maintenance of code pipelines for platform infrastructure and application ex: data ingestion, transformation, and delivery
+ Collaborate with DevOps team and other stakeholders to understand requirements and translate them into effective CI/CD solutions
+ Ensure the effective integration of Databricks notebooks and workflows into DevOps pipelines
+ Integrate with external APIs and services (e.g., RESTful APIs) to exchange data and trigger actions
+ Design and Develop data APIs and API Management layer
+ Implement and maintain infrastructure as code (IaC) using tools like Terraform or Ansible
+ Participate in code reviews and contribute to the improvement of development processes
+ Monitor and optimize the performance of pipelines and environments
+ Oversee and assist troubleshooting and resolution of issues related to data pipelines and DevOps
+ Stay up-to-date with the latest data pipeline features, Databricks capabilities, and best practices for data engineering
+ Mentor and guide team members in data engineering and DevOps practices
+ Foster a culture of innovation, collaboration, and continuous improvement within the team
**Job Requirements:**
+ Bachelor's degree in Computer Science, Data Engineering, or a related engineering field
+ 8+ years of experience in data engineering
+ 5+ years of experience leading and managing technical teams
+ 5+ years of experience working with Git or similar CI/CD tools
+ Strong proficiency in configuration languages (Terraform, YAML)
+ Strong proficiency in Python, PySpark, SQL
+ Experience with data engineering tools and frameworks (Delta Lake, DataBricks, SQL)
+ Experience with containerization tools like Docker and Kubernetes
+ In-depth knowledge of DevOps and its capabilities for data engineering
+ Strong understanding of data engineering principles and practices
+ Experience with Databricks and its capabilities for data engineering
+ Experience with Event based architecture implementation
+ Experience with cloud computing concepts and Azure services
+ Familiarity with data quality and validation tools
+ Excellent communication and interpersonal skills
+ Strong leadership and organizational skills
+ Ability to drive results and meet deadlines
**Preferred Qualifications:**
+ Knowledge of cloud data architecture and data management principles
+ Certification in Azure DevOps, Databricks, Terraform, or related technologies
The expected Total Compensation for this role is 117.000 - 157,000 + annual bonus. Individual compensation decisions are based on a variety of factors.
**Job Benefits**
+ Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons
+ MORE employee discounts on lodging, food, gear, and mountain shuttles
+ 401(k) Retirement Plan
+ Employee Assistance Program
+ Excellent training and professional development
Full Time roles are eligible for the above, plus:
+ Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours)
+ Free ski passes for dependents
+ Critical Illness and Accident plans
Vail Resorts offers a 'Hybrid' work environment where employees living within 50 miles of the Broomfield office work on-site Tuesday, Wednesday, Thursday and have flexibility to work off-site on Mondays and Fridays. Employees living outside of a commutable distance can work remotely from British Columbia, Washington D.C., and the 16 U.S. states* in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming.
Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion.
In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution.
We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers.
Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law.
_Requisition ID _
_Reference Date: 06/20/2025_
_Job Code Function: Data Warehouse/Business Intel_
This advertiser has chosen not to accept applicants from your region.
4
Senior Data Engineering Developer
Montréal, Quebec
National Bank
Posted 1 day ago
Job Viewed
Job Description
A career as a Senior Data Engineering Developer in the Analytics and Data Management Solutions team at National Bank means that you will be responsible for the maintenance and application support of EBX and Collibra assets. Integration skills and operational support experience have a positive impact on users at National Bank.
Your job :
- Administer, maintain and monitor the EBX and Collibra platforms.
- Manage updates and patches on the 2 platforms
- Use CI/CD processes in place for deployments (scripts, configurations, automated jobs) and manage access, roles and permissions for applications
- Responding to support requests Coordinate changes in Service now
- Automate recurring administration tasks via scripts (Bash, Python, etc.).
- Participate in technical support (levels 2 and 3), analysing incidents and resolving them.
- Maintain and clearly document procedures and configurations.
Your team :
You are part of a team of 12 colleagues in the Client, Data and financing sector and will report to the Senior Manager - Asset Management. Our team stands out for its expertise in data management solutions, providing an employee experience and collaborating with each of its members.
We favour a variety of forms of continuous learning to enhance your development, including on-the-job learning, training content and working with colleagues with diverse backgrounds and expertise.
Prerequisites:
- Solid knowledge of AWS environment (EC2, EKS, S3, IAM, FSX, etc.) or cloud
- Familiar with DevOps tools: CI/CD (GitLab CI, Jenkins, etc.), Infrastructure as Code (Terraform, Helm, etc.)
- Scripting skills (Shell, Python, etc.)
- Knowledge of Git for managing source code and configurations
- Ability to clearly document procedures and configurations.
Your benefits In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family. * Health and wellness program, including many options * Flexible group insurance * Generous pension plan * Employee Share Ownership Plan * Employee and Family Assistance Program * Preferential banking services * Opportunities to get involved in community initiatives * Telemedicine service * Virtual sleep clinic These are a few of the benefits available to you. We have an offer that keeps up with trends as well as your needs and those of your family. Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We actively listen to employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication is encouraged. We're putting people first We're a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on peoples' lives. Our core values of partnership, agility, and empowerment inspire us, and inclusivity is central to our commitments. We offer a barrier-free workplace that is accessible to all employees. We want our recruitment process to be fully accessible. If you require accommodation, feel free to let us know during your first conversations with us. We welcome all candidates! What can you bring to our team? Come live your ambitions with us!
This advertiser has chosen not to accept applicants from your region.
5
Senior Data Engineering Developer
Laval, Quebec
National Bank
Posted 1 day ago
Job Viewed
Job Description
A career as a Senior Data Engineering Developer in the Analytics and Data Management Solutions team at National Bank means that you will be responsible for the maintenance and application support of EBX and Collibra assets. Integration skills and operational support experience have a positive impact on users at National Bank.
Your job :
- Administer, maintain and monitor the EBX and Collibra platforms.
- Manage updates and patches on the 2 platforms
- Use CI/CD processes in place for deployments (scripts, configurations, automated jobs) and manage access, roles and permissions for applications
- Responding to support requests Coordinate changes in Service now
- Automate recurring administration tasks via scripts (Bash, Python, etc.).
- Participate in technical support (levels 2 and 3), analysing incidents and resolving them.
- Maintain and clearly document procedures and configurations.
Your team :
You are part of a team of 12 colleagues in the Client, Data and financing sector and will report to the Senior Manager - Asset Management. Our team stands out for its expertise in data management solutions, providing an employee experience and collaborating with each of its members.
We favour a variety of forms of continuous learning to enhance your development, including on-the-job learning, training content and working with colleagues with diverse backgrounds and expertise.
Prerequisites:
- Solid knowledge of AWS environment (EC2, EKS, S3, IAM, FSX, etc.) or cloud
- Familiar with DevOps tools: CI/CD (GitLab CI, Jenkins, etc.), Infrastructure as Code (Terraform, Helm, etc.)
- Scripting skills (Shell, Python, etc.)
- Knowledge of Git for managing source code and configurations
- Ability to clearly document procedures and configurations.
Your benefits In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family. * Health and wellness program, including many options * Flexible group insurance * Generous pension plan * Employee Share Ownership Plan * Employee and Family Assistance Program * Preferential banking services * Opportunities to get involved in community initiatives * Telemedicine service * Virtual sleep clinic These are a few of the benefits available to you. We have an offer that keeps up with trends as well as your needs and those of your family. Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We actively listen to employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication is encouraged. We're putting people first We're a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on peoples' lives. Our core values of partnership, agility, and empowerment inspire us, and inclusivity is central to our commitments. We offer a barrier-free workplace that is accessible to all employees. We want our recruitment process to be fully accessible. If you require accommodation, feel free to let us know during your first conversations with us. We welcome all candidates! What can you bring to our team? Come live your ambitions with us!
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Etl processes Jobs in Canada !
6
Senior Data Engineering Developer
Longueuil, Quebec
National Bank
Posted 1 day ago
Job Viewed
Job Description
A career as a Senior Data Engineering Developer in the Analytics and Data Management Solutions team at National Bank means that you will be responsible for the maintenance and application support of EBX and Collibra assets. Integration skills and operational support experience have a positive impact on users at National Bank.
Your job :
- Administer, maintain and monitor the EBX and Collibra platforms.
- Manage updates and patches on the 2 platforms
- Use CI/CD processes in place for deployments (scripts, configurations, automated jobs) and manage access, roles and permissions for applications
- Responding to support requests Coordinate changes in Service now
- Automate recurring administration tasks via scripts (Bash, Python, etc.).
- Participate in technical support (levels 2 and 3), analysing incidents and resolving them.
- Maintain and clearly document procedures and configurations.
Your team :
You are part of a team of 12 colleagues in the Client, Data and financing sector and will report to the Senior Manager - Asset Management. Our team stands out for its expertise in data management solutions, providing an employee experience and collaborating with each of its members.
We favour a variety of forms of continuous learning to enhance your development, including on-the-job learning, training content and working with colleagues with diverse backgrounds and expertise.
Prerequisites:
- Solid knowledge of AWS environment (EC2, EKS, S3, IAM, FSX, etc.) or cloud
- Familiar with DevOps tools: CI/CD (GitLab CI, Jenkins, etc.), Infrastructure as Code (Terraform, Helm, etc.)
- Scripting skills (Shell, Python, etc.)
- Knowledge of Git for managing source code and configurations
- Ability to clearly document procedures and configurations.
Your benefits In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family. * Health and wellness program, including many options * Flexible group insurance * Generous pension plan * Employee Share Ownership Plan * Employee and Family Assistance Program * Preferential banking services * Opportunities to get involved in community initiatives * Telemedicine service * Virtual sleep clinic These are a few of the benefits available to you. We have an offer that keeps up with trends as well as your needs and those of your family. Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We actively listen to employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication is encouraged. We're putting people first We're a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on peoples' lives. Our core values of partnership, agility, and empowerment inspire us, and inclusivity is central to our commitments. We offer a barrier-free workplace that is accessible to all employees. We want our recruitment process to be fully accessible. If you require accommodation, feel free to let us know during your first conversations with us. We welcome all candidates! What can you bring to our team? Come live your ambitions with us!
This advertiser has chosen not to accept applicants from your region.
7
Senior Data Engineering Developer
Montréal, Quebec
National Bank
Posted 1 day ago
Job Viewed
Job Description
A career as a Senior Data Engineering Developer in the Analytics and Data Management Solutions team at National Bank means that you will be responsible for the maintenance and application support of EBX and Collibra assets. Integration skills and operational support experience have a positive impact on users at National Bank.
Your job :
Administer, maintain and monitor the EBX and Collibra platforms.
Manage updates and patches on the 2 platforms
Use CI/CD processes in place for deployments (scripts, configurations, automated jobs) and manage access, roles and permissions for applications
Responding to support requests Coordinate changes in Service now
Automate recurring administration tasks via scripts (Bash, Python, etc.).
Participate in technical support (levels 2 and 3), analysing incidents and resolving them.
Maintain and clearly document procedures and configurations.
Your team :
You are part of a team of 12 colleagues in the Client, Data and financing sector and will report to the Senior Manager - Asset Management. Our team stands out for its expertise in data management solutions, providing an employee experience and collaborating with each of its members.
We favour a variety of forms of continuous learning to enhance your development, including on-the-job learning, training content and working with colleagues with diverse backgrounds and expertise.
Prerequisites:
Solid knowledge of AWS environment (EC2, EKS, S3, IAM, FSX, etc.) or cloud
Familiar with DevOps tools: CI/CD (GitLab CI, Jenkins, etc.), Infrastructure as Code (Terraform, Helm, etc.)
Scripting skills (Shell, Python, etc.)
Knowledge of Git for managing source code and configurations
Ability to clearly document procedures and configurations.
Your benefits In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family. * Health and wellness program, including many options * Flexible group insurance * Generous pension plan * Employee Share Ownership Plan * Employee and Family Assistance Program * Preferential banking services * Opportunities to get involved in community initiatives * Telemedicine service * Virtual sleep clinic These are a few of the benefits available to you. We have an offer that keeps up with trends as well as your needs and those of your family. Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We actively listen to employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication is encouraged. We're putting people first We're a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on peoples' lives. Our core values of partnership, agility, and empowerment inspire us, and inclusivity is central to our commitments. We offer a barrier-free workplace that is accessible to all employees. We want our recruitment process to be fully accessible. If you require accommodation, feel free to let us know during your first conversations with us. We welcome all candidates! What can you bring to our team? Come live your ambitions with us!
This advertiser has chosen not to accept applicants from your region.
8
Data Engineering Architect Vice President
Mississauga, Ontario
Citigroup
Posted 2 days ago
Job Viewed
Job Description
The Architecture Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.
**Responsibilities:**
- Executes the architectural vision for all IT systems through major, complex IT architecture projects; ensures that architecture conforms to enterprise blueprints.
- Develops technology road maps, while keeping up-to-date with emerging technologies, and recommends business directions based on these technologies.
- Provides technical leadership and is responsible for developing components of, or the overall systems design.
- Translates complex business problems into sound technical solutions.
- Applies hardware engineering and software design theories and principles in researching, designing, and developing product hardware and software interfaces.
- Provides integrated systems planning and recommends innovative technologies that will enhance the current system.
- Recommends appropriate desktop, computer platform, and communication links required to support IT goals and strategy.
- Exhibits good knowledge of how own specialism contributes to the business and good understanding of competitors products and services.
- Acts as an advisor or mentor to junior team members.
- Requires sophisticated analytical thought to resolve issues in a variety of complex situations.
- Impacts the architecture function by influencing decisions through advice, counsel or facilitating services.
- Guides, influences and persuades others with developed communication and diplomacy skills.
- Performs other job duties and functions as assigned
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
**Core Skills**
- 5+ years of experience designing Data Lake using BigData ecosystem (Hadoop, Hive, Kafka, Spark, Scala etc.)
- 5+ years of experience in designing high volume, high TPS, resilient data pipelines.
- Function experience with Banking industry is preferred.
- DevOps Practices: Experience working in a Continuous Integration and Continuous Delivery environment and familiarity with tools like Jenkins, TeamCity, SonarQube, OpenShift, ECS, or Kubernetes.
- Software Engineering Principles: Proficient in industry-standard best practices such as Design Patterns, Coding Standards, Coding modularity, and Prototyping.
- Data Visualization: Experience with data visualization tools and techniques for presenting data insights effectively.
- Agile Methodologies: Familiarity with agile development methodologies and experience working in agile and scaled agile teams.
**Qualifications:**
- 6-10 years of relevant experience.
- Familiar with enterprise/solution architecture.
- Knowledge of cloud technologies
- Consistently demonstrates clear and concise written and verbal communication
- Management and prioritization skills
- Ability to develop working relationships
- Ability to manage multiple activities and changing priorities
- Ability to work under pressure and to meet tight deadlines
- Self-starter with ability to take the initiative and master new tasks quickly
- Methodical, attention to detail
**Education:**
- Bachelor's/University degree or equivalent experience, potentially Master's degree
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
---
**Job Family Group:**
Technology
---
**Job Family:**
Applications Development
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
**Responsibilities:**
- Executes the architectural vision for all IT systems through major, complex IT architecture projects; ensures that architecture conforms to enterprise blueprints.
- Develops technology road maps, while keeping up-to-date with emerging technologies, and recommends business directions based on these technologies.
- Provides technical leadership and is responsible for developing components of, or the overall systems design.
- Translates complex business problems into sound technical solutions.
- Applies hardware engineering and software design theories and principles in researching, designing, and developing product hardware and software interfaces.
- Provides integrated systems planning and recommends innovative technologies that will enhance the current system.
- Recommends appropriate desktop, computer platform, and communication links required to support IT goals and strategy.
- Exhibits good knowledge of how own specialism contributes to the business and good understanding of competitors products and services.
- Acts as an advisor or mentor to junior team members.
- Requires sophisticated analytical thought to resolve issues in a variety of complex situations.
- Impacts the architecture function by influencing decisions through advice, counsel or facilitating services.
- Guides, influences and persuades others with developed communication and diplomacy skills.
- Performs other job duties and functions as assigned
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
**Core Skills**
- 5+ years of experience designing Data Lake using BigData ecosystem (Hadoop, Hive, Kafka, Spark, Scala etc.)
- 5+ years of experience in designing high volume, high TPS, resilient data pipelines.
- Function experience with Banking industry is preferred.
- DevOps Practices: Experience working in a Continuous Integration and Continuous Delivery environment and familiarity with tools like Jenkins, TeamCity, SonarQube, OpenShift, ECS, or Kubernetes.
- Software Engineering Principles: Proficient in industry-standard best practices such as Design Patterns, Coding Standards, Coding modularity, and Prototyping.
- Data Visualization: Experience with data visualization tools and techniques for presenting data insights effectively.
- Agile Methodologies: Familiarity with agile development methodologies and experience working in agile and scaled agile teams.
**Qualifications:**
- 6-10 years of relevant experience.
- Familiar with enterprise/solution architecture.
- Knowledge of cloud technologies
- Consistently demonstrates clear and concise written and verbal communication
- Management and prioritization skills
- Ability to develop working relationships
- Ability to manage multiple activities and changing priorities
- Ability to work under pressure and to meet tight deadlines
- Self-starter with ability to take the initiative and master new tasks quickly
- Methodical, attention to detail
**Education:**
- Bachelor's/University degree or equivalent experience, potentially Master's degree
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
---
**Job Family Group:**
Technology
---
**Job Family:**
Applications Development
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
This advertiser has chosen not to accept applicants from your region.
9