Senior Data & Machine Learning Engineer

Senior Data & Machine Learning Engineer (MS Fabric focus)

If your skills, experience, and qualifications match those in this job overview, do not delay your application.
- Warrington (hybrid) We're working with a well-established business that's investing heavily in its data and AI capability and is now looking for a Senior Data & Machine Learning Engineer to play a key role in shaping their modern data platform.

This is a senior, hands-on role where you'll take ownership of a Fabric-centric data estate, lead technical decisions, and work closely with BI teams, data scientists and senior stakeholders.

They're looking for someone who enjoys building scalable data platforms, mentoring others, and turning complex business requirements into robust technical solutions.

What's in it for you? Hybrid working from their Warrington office Salary up to £65K 10% bonus 20 days annual leave BH – increases with service Pension Enhanced sick pay Buy and sell holidays Life assurance Health & wellbeing benefits Employee Assistance Programme Cycle to Work Long service awards Work with modern tech including Microsoft Fabric, Azure AI and ML tooling Key skills Strong experience with Microsoft Fabric (Data Factory, Lakehouse, OneLake, Pipelines, SQL Warehouse) Solid data engineering background using SQL, Python, PySpark, Delta Lake E xperience building and optimising end-to-end data pipelines CI/CD experience for analytics and data platforms (Azure DevOps or GitHub) Exposure to AI/ML platforms such as Azure AI, Azure ML or Azure OpenAI Strong knowledge of Power BI and/or Qlik at enterprise scale Confident communicator, comfortable working with senior stakeholders Previous experience mentoring data engineers Day to day Owning and developing the organisation's Microsoft Fabric data platform Designing and building scalable, reliable data pipelines and architectures Leading the move from legacy and hybrid platforms to a modern Fabric setup Supporting BI teams with semantic models, datasets and performance optimisation Enabling ML and MLOps workflows, from feature engineering to deployment Working closely with data scientists, analysts, IT and the wider business Embedding data quality, governance and best-practice standards Providing technical leadership and coaching to other engineers If this sounds like your next move, apply now or email
*Please note this role cannot offer sponsorship and isn't suitable for those on graduate or short term visas
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