Get AI-powered advice on this job and more exclusive features.
At Accellor, we are a trusted digital transformation partner that uses best-of-breed Cloud technology to deliver superior customer engagement and business effectiveness for clients. We've created an atmosphere that encourages curiosity, constant learning, and persistence. We encourage our employees to grow and explore their interests. We cultivate an environment of collaboration, autonomy, and delegation – we know our people have a strong work ethic and a sense of pride and ownership over their work. They are passionate, eager, and motivated – focused on building the perfect solution but never losing sight of the bigger picture.
Role: Senior Data Engineer - Microsoft Fabric Position Overview We are seeking an experienced Senior Data Engineer for a contract position to design, develop, and optimize data solutions using Microsoft Fabric. This role requires deep technical expertise in modern data engineering practices and Microsoft's unified analytics platform. Similar experience with Data Bricks would be considered.
Key Responsibilities Design and implement scalable data pipelines and ETL/ELT processes within Microsoft Fabric from a code-first approach
Develop and maintain notebooks, data pipelines, workspace and other Fabric item configurations
Build and optimize data architectures using delta tables, lakehouse, and data warehouse patterns
Implement data modelling solutions including star schema, snowflake schema, and slowly changing dimensions (SCDs)
Performance tune Delta, Spark, and SQL workloads through partitioning, optimization, liquid clustering, and other advanced techniques
Develop and deploy Fabric solutions using CI/CD practices via Azure DevOps




Integrate and orchestrate data workflows using Fabric Data Agents and REST APIs
Collaborate with development team and stakeholders to translate business requirements into technical solutions
Requirements Microsoft Fabric Expertise Hands-on experience with Fabric notebooks, pipelines, and workspace configuration
Fabric Data Agent implementation and orchestration
Fabric CLI and CI/CD deployment practices
Programming & Development Python (advanced proficiency)
PySpark for distributed data processing
Pandas and Polars for data manipulation
Experience with Python libraries for data engineering workflows
REST API development and integration
Data Platform & Storage Delta Lake and Iceberg table formats
Delta table optimization techniques (partitioning, Z-ordering, liquid clustering)
Spark performance tuning and optimization
SQL query optimization and performance tuning
Development Environment Visual Studio Code
Azure DevOps for CI/CD and deployment pipelines
Experience with both code-first and low-code development approaches
Data Modeling Data warehouse dimensional modeling (star schema, snowflake schema)
Slowly Changing Dimensions (SCD Type 1, 2, 3)
Modern lakehouse architecture patterns
Metadata driven approaches
Preferred Qualifications 5+ years of data engineering experience
Previous experience with large-scale data platforms and enterprise analytics solutions
Strong understanding of data governance and security best practices
Experience with Agile/Scrum methodologies
Excellent problem-solving and communication skills
Referrals increase your chances of interviewing at Accellor by 2x
Get notified about recent Senior Data Engineer jobs in Canada.

#J-18808-Ljbffr

📌 Senior Data Engineer - Microsoft Fabric (Manitoba)
🏢 Accellor
📍 Manitoba