Senior Data Engineer - Microsoft Fabric

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 new Senior Data Engineer jobs in Canada.

#J-18808-Ljbffr