290 Data Engineering jobs in Canada

**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
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**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).

_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

Job Description

Job Description

About Lantern

Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com.

About You:

• You use LOGIC in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins.
• INCLUSION is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with.
• You have the GRIT , drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas.
• You care deeply for your customers are driven to keep HUMANITY in all decisions. Your customers aren't just the individuals using your product. They are the driving factor in your motivation to make a change.
• Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear.
• You thrive in a Team Environment. Collaboration is key in innovation and creating change.

These pillars of LIGHT are a reminder to our team that we are making a difference by providing guidance and support in navigating the often complex and confusing landscape of healthcare. We hope that through this LIGHT , individuals can find their way to the best care, resources, and support they need to get back to life.

If this sounds like you, we would love to connect to speak further about career opportunities at Lantern.

Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process.

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Lantern is searching for a seasoned Data Engineering Manager who will help shape the future of our Data Platform. This role will involve leading a team of Data Engineers and will require hands-on contribution to the design, development, and maintenance of the platform. The ideal candidate will bring deep expertise in Data Architecture, batch processing frameworks, and Data Modeling techniques, ensuring smooth data ingestion and export processes. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies. Success in this position will be defined by your ability to own deliverables, effectively manage your team, and drive significant, impactful results.

Location: Hybrid, 2 days a week with flexibility in Vancouver

Responsibilities :

• Lead and mentor a team of data engineers to design, develop, and deploy scalable solutions.
• Collaborate with product and business stakeholders to deliver data solutions that meet user needs.
• Architect, build, and maintain data infrastructure, ensuring reliability, scalability, and performance across various data sources and platforms.
• Implement Data Ingestion, Transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
• Collaborate with Data Engineers, Architects, and Business Analysts in building data models to improve reliability and interpretability of data for analytical and business needs.
• Define and enforce coding standards and document best practices within the team.
• Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
• Experience supporting production jobs and mitigate issues within the defined SLA.
• Partner with senior leadership to define Data Strategy, Roadmap and hiring for future needs.
• Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation

Experience:

• Bachelor's or Master's degree in computer science, Engineering, or a related field.
• 7+ years of experience in Data Engineering, with a track record of driving technical innovation and implementation of complex data solutions at scale
• 5+ years of hands-on programming experience Python
• 3+ years of experience managing a team or as a team lead
• 4+ years of Cloud Experience: Azure (preferred)/AWS/GCP.
• 3+ years of working with EDI or HIE standards (e.g. X12, HL7, and/or FHIR).
• Proven leadership experience managing and developing data engineering teams, including team growth, skill development, and strategic project execution.
• Experience in Modern Data Technologies like Spark, Databricks, and Kafka.
• Expertise with Microsoft SQL Server (preferred) or other relational databases.
• Experience in building data lakes to support high speed querying by the end users.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Prior Experience with Marketing Automation Platforms, Data Segmentation, and multi-channel campaign measurement will be helpful.
• Familiarity with CI/CD (e.g. Azure pipelines), and IAC (e.g., Terraform) is a plus.
• Experience or knowledge with creating RESTful API's and data visualizations is a plus.

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Lantern does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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.

Job Description

Job Description

Career Renew is recruiting for one of its clients a Data Engineering Lead - Web3 - this is a fully remote role for candidates based in US, Canada or Europe (if they can overlap 5 hours with EST timezone).

As a Data Engineering Lead, you'll take ownership of designing and building the core data infrastructure that underpins our multi-asset, multi-strategy trading and investment platform. You’ll drive the development of real-time data pipelines, core transaction and position processing engines, and intuitive tools to support portfolio management, risk, and research. From designing systems that handle high-throughput, high-fidelity data to implementing tools that surface insights in milliseconds, your work will be instrumental in enabling fast, intelligent decision-making across the firm.

You will thrive in this role if you are a strategic thinker with a proven track record in building 0->1 systems, particularly in highly nuanced environments requiring numerical diligence. You have a passion for working with large datasets and a desire to leverage data to drive business insights and support decision-making. If you’re self-driven, obsessed with making sense of complex datasets and driving organisational change, and love high-agency roles, this is the perfect opportunity for you.

Key Responsibilities

• Design, build, and maintain high-throughput data pipelines and infrastructure to support real-time trading, risk, and research workflows

• Leverage AI agents as a first-class part of our dev lifecycle while building the guardrails, workflows, and instrumentation to support them at scale—without compromising engineering standards, legibility, or consistency

• Collaborate closely with portfolio managers, engineers, and researchers to surface actionable insights from complex, high-volume datasets

• Build internal tools and interfaces that make quantitative data intuitive, explorable, and decision-ready

• Establish data quality and anomaly detection systems to ensure integrity and reliability at scale

• Lead the technical strategy for data infrastructure, including tool selection, system architecture, and long-term roadmap

• Champion engineering best practices around code quality, observability, and performance optimization

• Own projects end-to-end—from ideation and prototyping to deployment and maintenance—within a fast-moving, autonomous environment

About you

• You thrive in less structured environments and are at your best when driving and delivering results with the freedom to build and execute your own plan

• You are as excited by starting a project as completing, maintaining, and continually optimizing it

• You find the plethora of opportunities to leverage data to drive value for the firm exciting versus overwhelming

Preferred Experience

• Experience developing complex software solutions such as rules engines, risk systems, or search engines

• Experience building user interfaces for efficient display of quantitative data, metrics, and analysis

• Exposure to a quantitative discipline or an industry where timestamps count - finance and crypto are great, but can also be AdTech or Gaming.

• Substantive experience building and maintaining high throughput data systems and detecting anomalous data

• Excellent Python and SQL skills, some experience with Rust or C++ will also be helpful

• Comfort in command-line Linux, Docker, and memory profiling/logs analysis

• Hands-on experience from beginning to end of a shipped working product (i.e., you’re an experienced builder)

• Proven experience working with a diverse set of technical and non-technical stakeholders

Job Description

Job Description

Who we are:

Financeit is a point-of-sale financing provider serving some of the largest home improvement and retail organizations in Canada.

Our platform helps businesses close more sales by offering customers affordable monthly payment options for their next big home improvement, vehicle or retail purchase.

We are small enough that you can make an impact within the company and large enough to make an impact in the market.

Financeit is a company where collaboration, inclusivity, fairness, and respect aren’t just ideas that get talked about, but are part of who we are. If such a workplace intrigues you, we hope you’ll join us.

About the role:

If you’re ready to take your strategic thinking, advanced analytic skills, and knack for digging into the details to the next level, while leaving your mark on a rapidly growing organization, we want to hear from you!

As the Analyst, Risk Data Engineering & Automation, you’ll work under the direction of the Director - Risk Analytics, Data Science & Reporting to ingest and deliver new data sets, build automation pipelines and apply RPA and GenAI to dramatically improve the efficiency & effectiveness of how we record, measure, action and solve risk-related (disputes, fraud, AML, collections, etc.) issues.

Oh, and yes, being fun matters. A lot.

What you’ll do:

• Support projects and initiatives across Risk by identifying, aggregating, transforming and integrating the best data possible into proprietary tools, data warehouses, representative models, and predictive forecasts, as required
• Ensure data quality and accuracy by taking ownership for, and management of, Risk data repositories
• Architect and scale automation (RPA, GenAI, pipelines, etc.) and data infrastructure solutions that drive efficient risk management (credit, fraud, merchant) outcomes
• Contribute to the ongoing development and refinement of accurate operational and financial forecasts (stock-flow, time-series, econometric) that predict consumer & channel partner credit and fraud losses across products, segments, and stakeholders
• Support the development and delivery of on-time high-quality Loss Forecasts and Risk (vintage-level performance), Operational (e.g. Collections performance), Lender (e.g., Portfolio Performance), and Financial (e.g., IFRS) dashboards and reports
• Develop and support the delivery of high-quality automated triggers to notify key partners and stakeholders of the most pressing Risk issues needing their attention
• Support the development, implementation, and deployment of advanced risk prediction and scoring models
• Document data sets, tools, and processes (using tools like Confluence) in ways that ensure clarity and a seamless and accurate internal transfer of knowledge
• Partner with cross-functional strategy, reporting and data science teams to understand their goals and ensure they have what’s needed to succeed and thrive
• Participate in strategic projects and initiatives related to risk management
• Foster a team culture rooted in dedication, curiosity, and continuous improvement

Requirements

• University degree in Engineering, Math, or Computer Science
• 2+ years of full-time and/or internship/PEY experience in data engineering, data analytics, dev ops, model ops, applied AI, and/or automation
• 2+ years of applied experience in building data repositories, automating data pipelines and process and/or creating analytic models using tools like dbt, Airflow, Python, and/or Redshift
• Advanced skills in data manipulation, visualization, and modeling, with proficiency in SQL, Looker, and Excel would be highly valued
• Experience working in indirect (B2B2C) lending / consumer credit risk, commercial credit risk, fraud, collections & recoveries and/or in an analytics or automation capacity at a financial institution would be a strong asset
• Strong strategic thinking, judgment, communication (verbal, visual, and written), and advanced problem-solving analytic skills
• Legitimately curious and passionate about finding the “right answer” with a detail-oriented mindset and a “healthy sense of paranoia” about quality
• Highly organized, disciplined and driven, with the ability to manage competing priorities while meeting deadlines.
• Balanced sense of pride & humility with the ability to thrive in a collaborative environment and bring energy and enthusiasm to team culture

Benefits

Winner of Canada’s Most Admired Corporate Culture twice, we offer more than just the basics. Take advantage of:

• An award-winning culture with a collaborative & inclusive team.
• Competitive pay and performance-based bonus.
• Committed to flexible work arrangements, offering hybrid workplace options.
• Comprehensive medical, dental and vision coverage + Lifestyle Account.
• RRSP Matching and Parental Leave Top UP Program.
• In office massage, meditation & workout sessions.
• Virtual events such as Lunch & Learns, company parties, fun team activities and charity initiatives.
• Career learning and development programs.

Next Steps:

If what you just read excites you, we’d like to hear from you! Please submit your application and we’ll contact you if you become selected for a phone interview.

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**Job Description**
**Work Arrangement:** This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum.
**The Role**
At General Motors, we envision a future with zero crashes, zero emissions, and zero congestion. We are on a mission to create the next generation of vehicle compute platforms. As part of this transformative effort, we are redefining how automotive software is developed, deployed and monitored, establishing a ubiquitous connection between vehicles and cloud-edge resources.
We are seeking a Senior Software Dev QA Test Engineer to join our dynamic data engineering team. This is a senior level role that will require you to drive initiatives within the team to ensure the delivery of high-quality software solutions. The ideal candidate will have an extensive background in automated and manual testing, continuous integration, experience with embedded automotive systems and a relentless focus on quality.
**What You Will Do**
+ **Test Planning & Strategy:** Develop and execute comprehensive test plans, test cases, and test scripts for new and existing software features.
+ **Automation Development:** Design, implement, and maintain automated test scripts to improve testing efficiency and coverage.
+ **Functional & Regression Testing:** Perform functional, regression, integration, and system testing to validate software quality.
+ **Performance & Load Testing:** Conduct performance and load testing to identify bottlenecks and improve application scalability.
+ **Bug Tracking & Resolution:** Identify, log, and track defects using bug-tracking tools, collaborating with developers for resolution.
+ **CI/CD Integration:** Work closely with DevOps teams to integrate automated tests into continuous integration and deployment (CI/CD) pipelines.
+ **Code Quality & Reviews:** Participate in code reviews to ensure testability and contribute to best practices for software quality.
+ **Security & Compliance:** Ensure software adheres to security, compliance, and regulatory standards.
+ **Collaboration & Communication:** Work cross-functionally with product managers, developers, and business stakeholders to understand requirements and deliver high-quality software. ?
**Additional Job Description**
**Your Skills & Abilities (Required Qualifications)**
+ Bachelor's degree in Computer Science, Engineering, or a related field.
+ 5+ years of experience in software testing, including manual and automated testing.
+ Proficiency in test automation tools such as Robot Framework.
+ Strong programming/scripting skills in C/C++, Java, Python for test automation.
+ Experience with test management tools like Jira Xray, or Zephyr
+ Strong understanding of vehicle communication protocols (e.g., CAN, ODB-II, LIN, Ethernet).
+ Experience with testing embedded systems.
+ Experience with API testing using tools such as Insomnia.
+ Knowledge of performance analysis tools such as Flamegraphs.
+ Understanding/experience with version control systems such as Git.
? **Soft Skills:**
+ Strong analytical and problem-solving skills.
+ Excellent verbal and written communication skills.
+ Ability to work independently and in a collaborative team environment.
**What Can Give You A Competitive Edge (Preferred Qualifications)**
+ Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps.
+ Experience in cloud platforms (AWS, Azure, GCP) and containerized environments (Docker, Kubernetes).
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
**Benefits Overview**
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
+ Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
+ Healthcare, dental, and vision benefits;
+ Life insurance plans to cover you and your family;
+ Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
+ GM Vehicle Purchase Plan for you, your family and friends.
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Non-Discrimination and Equal Employment Opportunities**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire? ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**Job Description**
**Work Arrangement:** This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum.
**The Role**
At General Motors, we envision a future with zero crashes, zero emissions, and zero congestion. We are on a mission to create the next generation of vehicle compute platforms. As part of this transformative effort, we are redefining how automotive software is developed, deployed and monitored, establishing a ubiquitous connection between vehicles and cloud-edge resources.
We are seeking a Senior Software Dev QA Test Engineer to join our dynamic data engineering team. This is a senior level role that will require you to drive initiatives within the team to ensure the delivery of high-quality software solutions. The ideal candidate will have an extensive background in automated and manual testing, continuous integration, experience with embedded automotive systems and a relentless focus on quality.
**What You Will Do**
+ **Test Planning & Strategy:** Develop and execute comprehensive test plans, test cases, and test scripts for new and existing software features.
+ **Automation Development:** Design, implement, and maintain automated test scripts to improve testing efficiency and coverage.
+ **Functional & Regression Testing:** Perform functional, regression, integration, and system testing to validate software quality.
+ **Performance & Load Testing:** Conduct performance and load testing to identify bottlenecks and improve application scalability.
+ **Bug Tracking & Resolution:** Identify, log, and track defects using bug-tracking tools, collaborating with developers for resolution.
+ **CI/CD Integration:** Work closely with DevOps teams to integrate automated tests into continuous integration and deployment (CI/CD) pipelines.
+ **Code Quality & Reviews:** Participate in code reviews to ensure testability and contribute to best practices for software quality.
+ **Security & Compliance:** Ensure software adheres to security, compliance, and regulatory standards.
+ **Collaboration & Communication:** Work cross-functionally with product managers, developers, and business stakeholders to understand requirements and deliver high-quality software. ?
**Additional Job Description**
**Your Skills & Abilities (Required Qualifications)**
+ Bachelor's degree in Computer Science, Engineering, or a related field.
+ 5+ years of experience in software testing, including manual and automated testing.
+ Proficiency in test automation tools such as Robot Framework.
+ Strong programming/scripting skills in C/C++, Java, Python for test automation.
+ Experience with test management tools like Jira Xray, or Zephyr
+ Strong understanding of vehicle communication protocols (e.g., CAN, ODB-II, LIN, Ethernet).
+ Experience with testing embedded systems.
+ Experience with API testing using tools such as Insomnia.
+ Knowledge of performance analysis tools such as Flamegraphs.
+ Understanding/experience with version control systems such as Git.
? **Soft Skills:**
+ Strong analytical and problem-solving skills.
+ Excellent verbal and written communication skills.
+ Ability to work independently and in a collaborative team environment.
**What Can Give You A Competitive Edge (Preferred Qualifications)**
+ Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps.
+ Experience in cloud platforms (AWS, Azure, GCP) and containerized environments (Docker, Kubernetes).
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
**Benefits Overview**
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
+ Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
+ Healthcare, dental, and vision benefits;
+ Life insurance plans to cover you and your family;
+ Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
+ GM Vehicle Purchase Plan for you, your family and friends.
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Non-Discrimination and Equal Employment Opportunities**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire? ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**Reference No** . R2810174
**Position Title:** Director, Research and CMC Data Engineering
**Department** : Data Engineering
**Location:** Toronto, ON (Hybrid - 3 days a week onsite)
**About the Job**
Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives.
At Sanofi, we're committed to providing the next-gen healthcare that patients and customers need. It's about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our R&D Data & AI Products and Platforms Team as a Data Engineer and you can help make it happen.
Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.
The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities.
As a Data Engineering Leader, will lead a team of data engineers in an agile environment to deliver Data & AI Products in R&D. You will be responsible to lead the design and development of data pipelines and workflows to ingest, curate, process, and store large volumes of complex structured and unstructured data. You will take the lead on multiple data products serving multiple areas of the business within R&D.
**Our vision for digital, data analytics and AI**
Join us on our journey in enabling Sanofi's Digital Transformation through becoming an AI first organization. This means:
+ **AI Factory - Versatile Teams Operating in Cross Functional Pods:** Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.
+ **Leading Edge Tech Stack:** Experience building products that will be deployed globally on a leading-edge tech stack.
+ · **World Class Mentorship and Training:** Working with renowned leaders and academics in machine learning to further develop your skillsets
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?
**Main Responsibilities:**
+ Provide technical leadership and guidance to the data engineering team, acting as a point of escalation for complex technical challenges and unblocking developers to maintain project momentum.
+ Lead the recruitment, hiring, onboarding, and retention of a talented and collaborative engineering team.
+ Develop, lead, and empower an efficient, effective, and agile engineering team to deliver exceptional capabilities and services across the entire data foundation ecosystem.
+ Foster effective teamwork and collaboration with all internal and external stakeholders, including cross-functional business teams, digital functions, and third-party technology partners.
+ Drive engineering excellence by establishing best practices for engineering standards and processes, as well as by implementing innovative solutions to improve development efficiency and quality.
+ Oversee the implementation and enforcement of data governance policies and best practices within their area of responsibility, ensuring data quality, accuracy, security, and compliance with relevant regulations.
+ Manage project timelines, resources, and budgets for data engineering initiatives within their scope, ensuring projects are delivered on time and within budget.
+ Drive innovation and the adoption of new data technologies and best practices within the data engineering team, staying updated with industry trends and advancements.
**About You**
**Key Qualifications:**
+ Bachelor's degree or above in Computer Science, Engineering, or a related field. A Master's degree is preferred.
+ Significant experience (typically 8+ years) in engineering roles, with increasing levels of responsibility and complexity.
+ Demonstrated experience (typically 1-3+ years) in leading, mentoring, or technically guiding other engineers or team members.
+ Proven track record of successfully designing, building, and deploying complex data platforms and data products, with deep knowledge of modern data engineering tech stack (Airflow, DBT, Snowflake and AWS native services).
+ Experience with Agile methodologies and the ability to manage projects from conception to deployment.
+ Solid understanding of data governance principles, data security best practices, and data quality management.
+ Strong business and data acumen, preferably with 2+ years of experience working in the multinational pharmaceutical industry, possessing a deep understanding of the pharmaceutical R&D business process and model.
+ Product-oriented mindset, with a deep understanding of the methodology for implementing data as a product and a passion for driving data democratization.
+ Excellent communication, interpersonal, and negotiation skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
**Why Choose Us?**
+ Bring the miracles of science to life alongside a supportive, future-focused team.
+ Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
+ Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
+ Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs
This position is for a current vacant role that we are actively hiring for?
Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.
#GD-SP ?
#LI-SP
#LI-Hybrid
#DBBCA
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
_North America Applicants Only_
The salary range for this position is:
$144,100.00 - $08,166.66
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK ( .
La fourchette salariale pour ce poste est la suivante:
144,100.00 - 208,166.66
Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociau de l'enterprise. Des informations supplémentaires sur les avantages sont disponibles via le lien ( .
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (