Back to jobs

Senior Data Platform Engineer

Job description

Senior Data Engineer
Remote-first, UK-based

Permanent
Salary: circa £60,000 to £70,000 depending on experience

A growing technology organisation is looking for a Senior Data Engineer.

This is a hands-on senior role focused on Microsoft Fabric, data engineering and platform ownership. The organisation has already invested in a Fabric-based data environment and now needs someone who can help own, develop and mature the platform as it becomes central to reporting, analytics and operational insight.

This is not a standard BI/reporting role. The focus is on data engineering, Fabric, Lakehouse architecture, pipelines, governance and scalable data platform delivery.

The role will involve:

  • Taking ownership of a Microsoft Fabric-based data platform

  • Designing, building and improving Fabric Lakehouse and Warehouse solutions

  • Developing and maintaining Fabric Pipelines, Data Factory processes and Notebooks

  • Working with SQL, Python and/or PySpark to build reliable data pipelines

  • Supporting Medallion architecture, including Bronze, Silver and Gold data layers

  • Ingesting and integrating data from operational systems, third-party platforms and APIs

  • Helping improve data quality, reliability, governance and platform standards

  • Working with stakeholders to understand data requirements and turn them into scalable technical solutions

  • Supporting CI/CD, version control and deployment processes across the data platform

  • Contributing to the longer-term data architecture and platform strategy

Key skills and experience:

  • Strong experience in data engineering or modern data platform delivery

  • Hands-on Microsoft Fabric experience

  • Experience with Fabric Lakehouse, OneLake, Fabric Warehouse, Pipelines, Notebooks or Dataflows Gen2

  • Strong SQL skills

  • Python or PySpark experience

  • Azure data platform experience, such as Azure Data Factory, Synapse, Databricks, ADLS or Azure SQL

  • Experience designing ETL/ELT pipelines and data models

  • Understanding of Lakehouse or Medallion architecture

  • Experience with Git, Azure DevOps, CI/CD or similar delivery practices

  • Awareness of data governance, RBAC, Purview, data quality or GDPR would be useful

Useful but not essential:

  • Direct Lake or Power BI semantic model experience

  • API data ingestion

  • IoT, telemetry, operational or real-time data experience

  • Experience taking a data platform from build into BAU ownership

Who this would suit:

This would suit a hands-on Senior Data Engineer, Fabric Engineer, Azure Data Engineer, Data Platform Engineer or technically strong Data Architect who enjoys building and owning modern data platforms.

The organisation is looking for someone who can be hands-on now, but also contribute to future platform direction, architecture and data strategy as the function continues to mature.

Applicants must have the right to work in the UK. Sponsorship is not available for this role.