Senior Data Engineer - Microsoft Fabric

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

Microsoft Fabric Expertise :

Programming & Development :

Data Platform & Storage :

Development Environment :

Data Modeling :

Preferred Qualifications :