Senior Data Engineer Corporate Data Analytics Group

Job Title: Senior Data Engineer

Job Type: Permanent Full-time

Location: Ottawa Ontario

Work Model: Remote

Job Status: Existing Vacancy

Position Summary

The Senior Cloud Data Engineer is responsible for designing building and operating scalable secure and reliable cloud data platforms that power analytics AI and decisionmaking across the organization. This role focuses on engineering highquality productiongrade data pipelines and data products using Microsoft Azure Microsoft Fabric and Databricks enabling downstream BI Copilot and AI/ML workloads.

Key Responsibilities

Data Pipeline & Platform Engineering

• Design build and maintain scalable cloudnative data pipelines supporting batch and nearrealtime use cases.
• Engineer and optimize data ingestion transformation and orchestration pipelines using Azure Data Factory Microsoft Fabric Databricks and related services.
• Implement and maintain lakehouse and medallion architectures (bronze silver gold) to support analytics and AI workloads.
• Develop robust transformation logic using SQL PySpark and Python with a focus on performance and maintainability.

Data Integration & Analytics Enablement

• Partner with Analytics/BI Engineers to ensure datasets are optimized for semantic layers and AI consumption.
• Collaborate with data scientists to support feature engineering and model training workloads.

Data Quality Governance & Security

• Implement data quality validation lineage and observability solutions to ensure trust in data assets.
• Design and enforce data security practices including access controls encryption and data classification.

DataOps Automation & Cost Optimization

• Automate deployment and operations using DataOps and infrastructureascode practices.
• Optimize cloud performance and costs across the data platform.

Documentation & Operational Support

• Create and maintain technical documentation runbooks and architecture diagrams.

Leadership & Mentorship

• Provide technical leadership and mentorship to junior data engineers.

Qualifications :

Mandatory Requirements

• Legally eligible to work in Canada.
• Able to obtain Government of Canada Reliability or Secret security clearance.
• Fluent in English (speak read write).

Minimum Qualifications

• Bachelors degree in Computer Science Data Engineering Software Engineering or a related field.
• Strong understanding of lakehouse data warehouse and medallion architecture patterns.
• 8 years of relevant professional experience including:
• 5 years of professional experience in cloud data engineering or data platform roles.
• 5 years of handson experience with Microsoft Azure data services.
• 5 years of experience building data pipelines using SQL and Python or PySpark.
• Working with structured and semistructured data.
• Collaborating with analytics BI and AI teams.

Preferred Qualifications

• 10 years of relevant professional experience
• Microsoft Certifications:
  • Fabric Analytics Engineer Associate (DP700) or Databricks Certified Data Engineer Associate or equivalent
• Knowledge of AI/ML data requirements and feature engineering.

• Experience with the following:
• Microsoft Fabric (OneLake lakehouses pipelines notebooks).
• Azure Databricks for largescale data processing.
• DataOps and CI/CD for data platforms.
• Experience in manufacturing software or regulated environments.

Additional Information :

Equal Opportunity Statement

Our organization is committed to employment equity and diversity in the workplace. We actively encourage applications from women Indigenous Peoples persons with disabilities members of visible minorities and LGBTQ2 individuals.

We are dedicated to removing barriers and fostering an inclusive workplace that reflects society and we are committed to providing an accessible and inclusive recruitment process in accordance with the Accessibility for Ontarians with Disabilities Act (AODA).

If you require accommodation at any stage of the hiring process please contact us at  so that appropriate arrangements can be made.

AI Use in Recruitment Statement

As part of our commitment to transparency and fairness in hiring we disclose that artificial intelligence (AI) tools may be used at certain stages of our recruitment process. These tools assist in tasks such as resume screening candidate matching and interview scheduling. All AI-assisted decisions are subject to human oversight to ensure fairness accuracy and compliance with applicable laws.

We are committed to the responsible transparent and accountable use of AI in alignment with Ontarios Responsible Use of Artificial Intelligence Directive and the requirements under the Working for Workers Four Act. This includes taking steps to mitigate bias protect candidate privacy and ensure that AI does not unfairly influence hiring outcomes.

If you have questions or concerns about how AI is used in our hiring process please contact us at .

Remote Work :

Yes

Employment Type :

Full-time