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Senior Data Engineer
LinkedIn Recruiter Post
Senior Data Engineer contract role: design/build ETL/ELT pipelines using Azure stack, primarily remote in Canada, occasional onsite in Edmonton.
About the role
- Senior Data Engineer responsible for developing lakehouse architecture and robust data pipelines. Collaborating with teams to deliver business-ready data products on Microsoft Fabric.
Responsibilities
- Design, build and own the Bronze → Silver → Gold lakehouse architecture in Microsoft Fabric, following medallion design principles for progressive refinement of data.
- Develop robust, idempotent data pipelines with data quality checks and validation at each tier boundary.
- Define and maintain data products, data models, ownership boundaries, SLAs and documentation for the Data Hub platform.
- Work with architects and stakeholders to define and follow data architecture standards across the platform.
- Ensure data accuracy, completeness and consistency across data sources, transformation layers and consumer interfaces.
- Identify, troubleshoot and resolve data‑related issues in pipelines, schemas, transformations and downstream consumption.
- Collaborate closely with Data Scientists, Data Analysts and business units to understand data requirements and deliver fit‑for‑purpose data products.
- Provide technical guidance and support on data‑related topics across teams.
- Document data flows, schemas, transformations, pipelines and operational processes to support maintainability and team scalability.
Requirements
- Senior‑level profile with proven hands‑on delivery experience in data engineering and technical ownership of production data platforms.
- Able to work independently and take technical ownership.
- Strong communication skills and experience working in cross‑functional teams.
- Deep experience with PySpark, Spark SQL and Delta Lake, including partitioning strategy, MERGE patterns, and batch versus streaming trade‑offs.
- Production experience with Microsoft Fabric or Azure Databricks.
- Hands‑on experience with Azure data platforms, including Azure Synapse, Microsoft Fabric, and active development experience in Databricks for pipelines and optimization.
- Strong understanding of event‑driven patterns for data ingestion; experience with Azure Event Hubs is a strong plus.
- Solid understanding of data modelling and database design for analytics and business consumption.
- Experience with version control and CI/CD practices using GitHub Actions, which is commonly used for Azure and Fabric‑related deployment workflows.
- Good knowledge of Azure cloud services and data platform services.
- Ability to think in terms of data products and domain ownership, and to define clear interfaces between platform teams and consuming teams.
- Strong operational mindset for running and supporting pipelines in production.
Benefits
- Great team environment
- Remote work options
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