737 Database Developers jobs in Canada

As a market leader, Manulife / John Hancock is dedicated to delivering an exceptional experience to our customers and end users. Technology is the most important enabler in our ability to provide that experience and generate business.
We are seeking a highly skilled and experienced Senior Data Engineer to join the Canada Data Office here at Manulife!
The ideal candidate will be leading a team of engineers responsible for the building, maintenance, improvements, and support of new and existing Azure data pipelines for various analytical use cases.
Collaboration with multi-functional teams and understanding data and using it to serve our businesses and operations whilst ensuring alignment to Manulife's IT security and risk guidelines is essential to delivering high quality, scalable software solutions.
Are you a self-starter who loves technical challenges and looking for your next step as an Engineering Leader? Are you passionate about building high-quality, user-friendly solutions? If so, then we want to hear from you!
**Position Responsibilities:**
+ Design, develop, and manage data pipelines that facilitate the detailed extraction, transformation, and loading of data from diverse sources.
+ Automate infrastructure provisioning and deployment using tools such as Terraform.
+ Collaborate with Architecture, security, and risk teams to implement the latest guidelines and Azure standard methodologies.
+ Collaborate with business collaborators to suggest data solutions that align with business goals and improve decision-making processes
+ Demonstrate a solid understanding of data privacy and compliance regulations and best-practices
**Required Qualifications:**
+ Bachelor's degree or equivalent experience in computer/IT or data-related fields is required, with a Master's degree being a plus.
+ 6+ years of previous data engineering experience with Azure-related data technologies.
+ Solid understanding of Azure infrastructure, including subscriptions, resource groups, resources, access control with RBAC (role-based access control), integrations with Azure AD, and Azure security principles (user group, service principal, managed identity), network concepts (VNet, Subnet, NSG rules, private endpoints), password/credential/key management, and data protection.
+ Strong hands-on knowledge of Azure Databricks, ADF, ADLS, Synapse Serverless/dedicated/spark pools, Python, PySpark, and T-SQL, along with experience crafting and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks.
+ High proficiency in GIT/Jenkins/dev ops processes to maintain and resolve issues with data pipelines in production.
**Preferred Qualifications:**
+ Knowledge of implementing Azure technologies and networking via Terraform, along with the ability to fix issues with Azure infrastructure in production.
+ Experience with data modelling, data mart, data lakehouse architecture, SCD, data mesh, and delta lake overall.
**When you join our team:**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our distributed team, we'll support you in crafting the future you want to see!
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$94,220.00 CAD - $174,980.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.

Imagine yourself.
+ Doing meaningful work that makes an everyday impact on the world around you.
+ Growing your expertise and expanding your skillset with every project.
At Trojan Technologies ( , you have the power to make it possible.
Trojan Technologies, a Veralto ( company, plays a vital role in making the various stages of the water treatment process more effective and efficient. Our products and services have applications across municipal wastewater, drinking water, environmental contaminant treatment, and residential water treatment, along with ultra-purification of water used in food and beverage manufacturing, pharmaceutical processing and semiconductor applications.
When you join the Trojan Technologies team and the broader Veralto network, you become part of a unique culture where purpose meets possibility: where the work we do makes an everyday impact on the world's vital water resources, and where you'll have the power to deepen your skillset, own your ambition, and fuel your career growth.
Take a moment to watch our video: The Power to Make Things Possible ( ( )
We offer:
+ Flexible working hours
+ Professional onboarding and training options
+ Powerful team looking forward to working with you
+ Career coaching and development opportunities
+ Health benefits
+ 401(k)
**If you are a Data Engineering professional with a passion for building world-class data solutions using Matillion and Snowflake, and you are eager to make a tangible impact in a collaborative and rapidly growing organization, we would love to hear from you. Join us and help shape the future of data-one pipeline at a time.**
**We look forward to receiving your application!**
**To apply, please submit your resume and a detailed cover letter describing your experience with Matillion, Snowflake, and designing data architectures at scale. We encourage applicants to include real-world examples of data challenges you've solved, your approach to building resilient and scalable pipelines, and any relevant projects or open-source contributions. Qualified candidates will be invited to participate in a multi-stage interview process involving technical assessments, architectural discussions, and meetings with key stakeholders.**
Reporting to the Sr Manager, Data Management & Analytics the Data Engineer is responsible for designing and maintaining our modern data infrastructure, enabling advanced analytics and real-time decision making across the business. This is an exciting opportunity for someone who thrives on innovation, values continuous improvement, and wishes to help shape the data landscape of a dynamic organization.
At Trojan Technologies we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, **remote working** arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a **remote work** arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Trojan Technologies can provide.
**In this role, a typical day will look like:**
+ Design, develop, and maintain scalable ELT/ETL pipelines using Matillion and Snowflake to support diverse data integration and transformation needs across the company.
+ Architect end-to-end data workflows that ensure high performance, reliability, and data integrity for both batch and near real-time use cases.
+ Collaborate with cross-functional teams including Data Analysts, DevOps, and business stakeholders to gather requirements and deliver data solutions that drive value.
+ Define and implement best practices for data modeling, metadata management, data lineage, and governance, utilizing the features of Snowflake and Matillion.
+ Optimize data storage, retrieval, and computation to ensure efficient processing and cost control within our cloud infrastructure.
+ Monitor, troubleshoot, and resolve issues related to data pipelines, performance bottlenecks, and data quality challenges
**The essential requirements of the job include:**
+ **3+ years of continuous experience working with Matillion ELT/ETL for cloud data warehouses, including designing complex orchestration jobs, transformation components, and API integrations.**
+ **Advanced knowledge of Snowflake, including schema design, security, performance tuning, stream and tasks, and cost optimization strategies.**
+ Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent work experience.
+ 5+ years of professional experience in data engineering, with at least 2 years in a senior role.
+ Proven experience in architecting large-scale, distributed data systems and implementing data lakes,warehouses, and marts.
+ Deep understanding of data modeling (dimensional, normalized, and denormalized), data governance, and data quality frameworks.
**It would be a plus if you also possess previous experience in:**
- Strong grasp of cloud platforms (AWS, Azure, or GCP) as they relate to data storage, processing, and security.
Certification or working toward certification in Matillion, Snowflake
- Hands-on experience with data cataloging tools and metadata management frameworks.
- Exposure to machine learning workflows and MLOps in a data engineering context
Trojan Technologies is proud to part of the Water Quality segment of Veralto (NYSE: VLTO), a $5B global leader dedicated to ensuring access to clean water, safe food and medicine, and trusted essential goods. When you join Veralto's vibrant global network of 16,000 associates, you join a unique culture and work environment _where purpose meets possibility_ : where the work you do has an everyday impact on the resources and essentials we all rely on, and where you'll have valuable opportunities to deepen your skillset, pursue your ambitions, and grow your career. Together, we're Safeguarding the World's Most Vital Resources-and building rewarding careers along the way.
At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
If you've ever wondered what's within you, there's no better time to find out.
**Unsolicited Assistance**
We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies ( , in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.
Veralto and all Veralto Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

At TTI, people come for the opportunity and stay for the culture!
**Job Description:**
**Data Engineer**
**Techtronic Industries Inc. | Milwaukee®, RYOBI®, Hoover®**
Full-Time | Permanent | Toronto HQ (Canada ) | P2
**About TTI Canada**
Are you ready to lead the way in shaping an empowering work environment with a global leader in power tools, outdoor equipment, and floorcare products? At TTI, we are known for our innovative products, world-class brands, and an unrelenting commitment to operational excellence. With iconic brands like **Milwaukee®, RYOBI®, and Hoover®** , we're not just about delivering outstanding performance but also about creating exceptional development for our people. If you're passionate about building your career in a dynamic, fast-paced environment, we want to hear from you! At TTI, culture drives performance, and it's at the heart of everything we do. We are fast, innovative, and constantly evolving but above all, we're a team that celebrates success together. We reward creative thinking and encourage your self development. Join us in driving a culture that supports sustainability, growth, and leadership.
**Location:** Toronto HQ (3381 Steeles Ave E)
**Position Description**
The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable TTI Canada to leverage data for analytics, reporting, and decision-making.
This individual will ensure data is accurate, reliable, and efficiently accessible by developing robust ETL/ELT processes, integrating diverse data sources, and supporting BI and analytics teams with clean and well-structured data.
The successful candidate must demonstrate strong technical expertise, problem-solving skills, and a collaborative mindset, while being eager to learn and adapt to emerging cloud and data technologies.
**What You Will Do**
The Data Engineer will lead the delivery of scalable and high-impact data infrastructure solutions from concept to deployment.
In this position, the Data Engineer will:
+ Design, develop, and maintain efficient data pipelines to support analytics and BI needs.
+ Ingest and integrate data from multiple sources, including on-premises SQL Server, cloud platforms, APIs, and flat files.
+ Implement data transformation logic to clean, enrich, and prepare data for reporting and advanced analytics.
+ Collaborate with Data Analysts, BI Developers, Data Scientists, and business stakeholders to understand requirements and translate them into technical solutions.
+ Ensure data integrity, consistency, and accuracy through validation, monitoring, and governance practices.
+ Optimize ETL/ELT processes for performance, scalability, and cost-effectiveness.
+ Work with cloud-based data platforms (e.g., Azure, Snowflake, Databricks) to modernize TTI Canada's data ecosystem.
+ Support the development of a centralized data lake/data warehouse architecture.
+ Implement best practices for data security, access control, and compliance.
+ Monitor pipelines and troubleshoot ingestion or transformation failures.
+ Create and maintain technical documentation for data pipelines, workflows, and architectures.
+ Contribute to continuous improvement initiatives by evaluating and implementing emerging data engineering tools and practices.
**What You Will Bring**
+ Legally entitled to work full-time in Canada and able to travel to the United States.
+ Bachelor's Degree in Computer Science, Information Systems, Engineering, or related field.
+ 3-5 years of experience as a Data Engineer, Database Developer, or related role.
+ Strong SQL skills and experience working with relational databases (e.g., SQL Server, Oracle, PostgreSQL).
+ Proficiency with ETL/ELT tools and data pipeline orchestration (e.g., Azure Data Factory, dbt).
+ Experience with cloud platforms such as Microsoft Azure, Snowflake, or Databricks.
+ Strong programming skills in Python or Scala for data processing and automation.
+ Familiarity with big data file formats (e.g., Parquet, ORC, JSON) and distributed processing frameworks (e.g., Spark).
+ Understanding of data modeling, data warehousing, and dimensional design principles.
+ Knowledge of data governance, security, and compliance best practices.
+ Excellent problem-solving abilities, attention to detail, and communication skills.
+ Ability to work collaboratively in cross-functional teams and adapt to a fast-paced environment.
**What You Will Benefit From**
+ Extensive health benefits, including vision and dental care
+ Retirement Savings Plan with Employer Matching Contributions
+ Competitive Base Salary
+ iPhone, and laptop
+ Paid time off and employee discount programs
+ Annual $500 Wellness Program allowance
**Visit our:** Company Website ( **,** LinkedIn ( **and** Instagram ( **today**
_Diversity, equity, and inclusion are at the core of our values at TTI. Because of our commitment to a multicultural and inclusive workplace, our people are our competitive advantage. We foster an inclusive environment where diversity is valued and where all employees feel safe to contribute their ideas, share their experiences, and represent their diverse backgrounds to innovate and solve complex problems as one team. We actively support and accommodate the diverse needs of our team, creating an empowering space where everyone can thrive._
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled
We endeavor to make this site accessible to any and all users. If you need to contact us regarding technical accessibility of our website call . This number is only for technical accessibility issues, not general employment or job posting inquiries.

A Data Engineer is responsible for designing, constructing, testing, and maintaining highly scalable data management systems. Collaborating with data architects, data scientists, and other team members, they make sure that data is accessible, reliable, and efficiently coordinated across the organization!
The ideal candidate for a Data Engineer role is someone with strong programming skills, experience with database management systems, and a deep understanding of ETL (Extract, Transform, Load) and EDL processes. They should also have excellent problem-solving skills and the ability to collaborate effectively in a team-oriented environment!
**Position Responsibilities:**
+ Data Pipeline Development: Building and maintaining robust and scalable data pipelines that automate the collection, transformation, and storage of data from various sources.
+ Data Integration: Ensuring seamless integration of data from different sources into a unified data warehouse or data lake, facilitating easy access and analysis.
+ Database Management: Designing, implementing, and managing databases and data storage solutions that can handle large volumes of data efficiently.
+ Data Quality and Governance: Putting in place systems and resources to secure the correctness, uniformity, and safeguarding of data company-wide.
+ Performance Optimization: Monitoring system performance and making improvements as needed to ensure data systems are running efficiently and effectively.
+ Collaboration: Working with data scientists, analysts, and other collaborators to understand data requirements and deliver solutions that meet business needs.
+ Technology Evaluation: Staying up to date with emerging technologies and tools in data engineering and recommending their adoption where appropriate to improve data processes and infrastructure.
**Required Qualifications:**
+ 5 to 7 years of experience in data engineering or a related field.
+ 3 to 5 years of experience in developing and managing Azure Data Pipelines.
+ Demonstrable experience with Databricks, including building and maintaining data pipelines.
+ Proficient in ETL (Extract, Transform, Load) processes and standard methodologies.
+ Experience with Informatica for data integration and transformation tasks.
+ Proficiency in using reporting tools like Power BI and Cognos for data visualization and reporting.
+ Solid understanding of data architecture and database management systems.
+ Strong programming skills in languages such as Python, SQL, or Scala.
+ Excellent problem-solving abilities and attention to detail.
+ Ability to work collaboratively in a team-oriented setting and communicate effectively with technical and non-technical collaborators.
+ Experience with data quality and data governance practices to ensure data integrity and security across the organization.
+ Familiarity with performance monitoring and optimization techniques for large-scale data systems.
**Preferred Qualifications:**
+ Master's degree in Computer Science, Engineering, or a related field
**When you join our team:**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our distributed team, we'll assist you in building the future you envision.
**#LI-Hybrid**
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$75,880.00 CAD - $140,920.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.

This Data Engineer role is essential for driving efficiency and innovation within our organization. By developing and maintaining automation, this position helps streamline operations and improve efficiency, contributing to our mission of delivering high-quality products and platform services. This role is integral to our goal of continuous improvement and operational excellence.
**Position Responsibilities:**
+ Design, develop, and manage data pipelines that facilitate the detailed extraction, transformation, and loading of data from diverse sources.
+ Automate infrastructure provisioning and deployment using tools such as Terraform.
+ Demonstrate a solid understanding of data privacy and compliance regulations and best-practices.
+ Collaborate with Architecture, security, and risk teams to implement the latest guidelines and Azure standard methodologies.
+ Collaborate with business collaborators to suggest data solutions that align with business goals and improve decision-making processes.
+ Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure.
+ Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective.
**Required Qualifications:**
+ 3 to 4 years of relevant industry experience as Data Engineer.
+ Good working knowledge on MS azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server) to design a data ecosystem.
+ Experience in automating data pipelines and familiarity with DevOps and CICD pipelines.
+ Good knowledge of data warehousing concepts and relational data modelling.
+ Strong hands-on knowledge of Python, PySpark, and T-SQL along with experience crafting and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks.
+ Proficiency in GIT/Jenkins/dev ops processes to maintain and resolve issues with data pipelines in production.
**_When you join our team:_**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$75,880.00 CAD - $140,920.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.

This Data Engineer role is essential for driving efficiency and innovation within our organization. By developing and maintaining automation, this position helps streamline operations and improve efficiency, contributing to our mission of delivering high-quality products and platform services. This role is integral to our goal of continuous improvement and operational excellence.
**Position Responsibilities:**
+ Design, develop, and manage data pipelines that facilitate the detailed extraction, transformation, and loading of data from diverse sources.
+ Automate infrastructure provisioning and deployment using tools such as Terraform.
+ Demonstrate a solid understanding of data privacy and compliance regulations and best-practices.
+ Collaborate with Architecture, security, and risk teams to implement the latest guidelines and Azure standard methodologies.
+ Collaborate with business collaborators to suggest data solutions that align with business goals and improve decision-making processes.
+ Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure.
+ Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective.
**Required Qualifications:**
+ 3 to 4 years of relevant industry experience as Data Engineer.
+ Good working knowledge on MS azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server) to design a data ecosystem.
+ Experience in automating data pipelines and familiarity with DevOps and CICD pipelines.
+ Good knowledge of data warehousing concepts and relational data modelling.
+ Strong hands-on knowledge of Python, PySpark, and T-SQL along with experience crafting and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks.
+ Proficiency in GIT/Jenkins/dev ops processes to maintain and resolve issues with data pipelines in production.
**_When you join our team:_**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$75,880.00 CAD - $140,920.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.

Job Description
We are seeking a highly skilled and proactive Data Engineer to join our Data Management team, with a focus on optimizing cloud-based analytics infrastructure and mentoring technical analysts. This role is critical to enabling data-driven decision-making by ensuring fast, reliable, and governed access to data across the organization. You will work within a cloud-first environment (primarily AWS) to assess and enhance existing data pipelines, reporting workflows, and architecture-especially those built during a recent ERP transition. You'll also support metadata and master data management initiatives, collaborate across technical and business teams, and help build scalable, secure, and well-governed data solutions.
- Mentor and upskill technical Data Analysts, providing guidance on cloud data engineering best practices.
- Evaluate and optimize existing analytics architecture, workflows, and pipelines-especially those supporting Power BI reporting from AWS Redshift.
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows for efficient data integration, transformation, and reporting.
- Automate data workflows including validation, monitoring, and CI/CD-based deployments.
- Ensure data quality, consistency, and integrity through validation frameworks and anomaly detection.
- Support metadata management and governance by building connectors and workflows for platforms like Collibra, Informatica, Microsoft Purview, and Ataccama.
- Integrate master data sources (e.g., SAP, Salesforce, Workforce Software) to ensure consistency and a single source of truth.
- Collaborate with architecture leads and business stakeholders to align technical solutions with organizational goals and future capabilities.
- Support migration efforts from legacy dashboards (e.g., Qlik on-prem) to cloud platforms, with a priority on Power BI.
- Contribute to RFPs and platform evaluations for metadata and governance tools.
- Monitor and optimize database performance, storage efficiency, and data processing speed.
- Implement data governance and security at the infrastructure level in compliance with enterprise policies and industry regulations.
Stay current with modern data architecture trends (e.g., Lakehouse, containerization, orchestration)
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
- 3-5 years of hands-on experience in cloud data engineering, with strong expertise in AWS (Redshift, Glue, Lambda, S3, IAM, Step Functions).
- Familiarity with Azure, GCP, and cloud-agnostic architectures to support POCs and evolving platform needs.
- Strong proficiency in SQL (including Spark SQL), Python (PySpark), and Scala.
- Experience with ETL/ELT tools (e.g., AWS Glue, Apache Airflow).
- Experience with big data technologies (e.g., Spark, Redshift, Kafka, Iceberg).
- Experience with NoSQL databases (e.g., DynamoDB, MongoDB).
- Experience managing infrastructure with IaC tools (e.g., Terraform, CloudFormation) and container orchestration (e.g., Docker, Kubernetes).
- Experience designing and implementing CI/CD pipelines using GitHub Actions, SonarQube, etc.
- Solid understanding of cloud monitoring and logging tools (e.g., CloudWatch).
Strong communication and collaboration skills across technical and business teams. - Experience with metadata management and governance platforms (e.g., Collibra, Atlan, Informatica MDM, Microsoft Purview).
- Comfortable providing technical guidance and mentorship to peers and stakeholders.
- Exposure to master data management practices and integration with platforms like SAP, Salesforce, and Snowflake.
- Experience working in ERP transition environments and optimizing rushed reporting setups.
Ability to work independently and make informed decisions with minimal guidance.

Join us at Manulife and be part of a team that strives for excellence, where your efforts will directly contribute to our success. Here, your work will have an important impact, and you'll be empowered to make decisions that improve our marketing strategies and customer experience.
As a Data Engineer at Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture. You would collaborate with other highly skilled data engineers, data architects and governance team in designing, developing, and deploying data pipelines, ETL processes, and other data integration solutions to extract, transform, and load data from various sources into Manulife's data warehouse.
This Data Engineer role is essential for driving efficiency and innovation within our organization. By developing and maintaining automation, this position helps streamline operations and improve efficiency, contributing to our mission of delivering high-quality products and platform services. This role is integral to our goal of continuous improvement and operational excellence.
**Position Responsibilities:**
+ Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services
+ Develop and maintain the company's data architecture, including data models, schemas, and data dictionaries.
+ Integrate data from various sources, ensuring data quality and consistency, and prepare it for analytical and operational use
+ Follow consistency of data governance policies and processes to ensure data security, privacy, and compliance.
+ Collaborate with other data professionals, including data scientists, analysts, and business team members, to understand data requirements and develop solutions to meet those needs.
+ Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure.
+ Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective.
**Required Qualifications:**
+ **4** or more years of relevant industry experience as Data Engineer
+ Experience in building and operationalizing Data pipelines in cloud MS Azure using Azure Data Factory, Azure Databricks.
+ Experience in automating data pipelines and familiarity with DevOps and CICD pipelines
+ Good working knowledge on MS azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server) to design a data ecosystem.
+ Good knowledge of data warehousing concepts and relational data modelling
+ Familiarity with programming in both compile languages (Java, Scala) and scripting languages (Python, SQL, R)
+ Understanding of Agile scrum methodologies and experience of working in an Agile team, with exposure to and working understanding of collaboration tools like Teams, JIRA, Mural
+ Experience in Data processing, performance analysis, tuning and capacity planning
**Preferred Qualifications:**
+ Excellent communication and interpersonal skills
+ Excellent analytical, problem solving and solutioning skills
+ A capacity for constant learning from both success and failure, remaining open to change and continuous improvement
+ Familiarity with production release and operational support model
**_When you join our team_** **:**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our distributed team, we'll support you in crafting the future you want to see!
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
CAN, Ontario, Waterloo, 500 King Street North
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$75,880.00 CAD - $140,920.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.

Job Description

Job Description

Salary:

Data Engineer

Saskatoon

At Vendasta, were leading the AI revolution from right here in Saskatoonand beyond. We work together to empower our partners and customers through our AI-powered customer acquisition and engagement platform to help them get more customersand keep them.

Were looking for a Data Engineer who is energized by designing and maintaining scalable ELT pipelines and excited to transform raw data into reliable, structured insights that power decision-making across the business. In this role, youll play a key part in helping small and medium-sized businesses succeedwhile shaping the future of AI for local economies.

Your Impact

As a Data Engineer youll work with the Business Intelligence & Analytics team, BI analysts, sales, and cross-functional business stakeholders to:

• Build and maintain robust ELT pipelines in Vendastas Kimball-style data warehouse using DBT and BigQuery.
  
• Ensure high-quality, accurate, and timely data delivery through validation, anomaly detection, and schema monitoring.
  
• Manage historical and hierarchical datasets with scalability and reusability in mind, while monitoring compute costs and performance.
  
• Collaborate with source system owners to extract, clean, and integrate data using prompt-based QA checks and reconciliation methods.
  
• Contribute to documentation, templates, and training resources to enable cross-functional data ownership.
  
• Participate in Agile ceremonies, take ownership of projects, and drive continuous improvement in data governance, lineage, and workflow efficiency.
  
  

What You Bring to the Table

You have 3+ years of data engineering or related experience (ideally in SaaS or technology) and proficiency in SQL, Google Cloud Platform (BigQuery, DBT, Looker), and Kimball data warehousing principles. Youre highly skilled at diagnosing and resolving data quality and performance issues while balancing the needs of both technical and non-technical stakeholders. Your strong communication and collaboration skills enable you to work seamlessly across teamsincluding sales and BIwhile producing clear and concise documentation. You are detail-oriented, process-driven, and organized, with the ability to work independently in a fast-paced environment.

Preferred/Asset Skills: A Bachelors degree in Computer Science, Data Science, or related fields, plus experience using AI assistants (SQL co-pilots, validation scripts, documentation tools) or automation to accelerate workflows.

Perks

Join the Vendasta team, where your well-being and growth come first. Youll enjoy:

• Employee Options Program
• Daily snacks, vibrant cafeteria, and Friday lunches
• Education reimbursement and leadership development programs
• Community initiatives and volunteer opportunities
• A culture driven by our values: Drive, Innovation, Respect, and Agility
  
  

Discover your potential. Build something that matters. Join the AI revolution from right here in Saskatoon.