Overview
We are seeking an experienced Data Engineer to join a growing Microsoft data consultancy on a three-month contract basis. The successful candidate will work remotely, engaging in hands-on data engineering projects across various sectors including government, healthcare, financial services, and construction. The role involves collaboratively shaping and delivering modern data platforms using Microsoft Fabric, tailored to meet diverse client needs.
Responsibilities
- Design and deliver Fabric data platforms for a mix of external clients.
- Build Lakehouse and Warehouse solutions within Fabric.
- Create ingestion, transformation, and orchestration pipelines.
- Write notebooks and process workloads in Python and PySpark.
- Apply medallion and layered architecture patterns.
- Assist clients in migrating from legacy or existing Azure environments onto Fabric.
- Support CI/CD through Azure DevOps or Git.
- Collaborate with architects and client stakeholders during workshops and design discussions.
Requirements
- Proven track record of delivering Microsoft Fabric projects in a commercial environment.
- Hands-on knowledge of Fabric Lakehouse, Warehouse, Data Factory, and Data Pipelines.
- Solid SQL skills and commercial experience with Python or PySpark.
- Experience with designing modern data platforms or lakehouses.
- Understanding of medallion architecture and reusable engineering practices.
- Wider exposure to Azure data technologies, such as Azure Data Factory or Databricks.
- Ability to communicate effectively and manage stakeholder relationships.
- Independently work in client-facing environments with adaptability across projects and sectors.