Salary: £65,000 - 65,000 per year Requirements: Strong experience with Microsoft Fabric (Data Factory, Lakehouse, OneLake, Pipelines, SQL Warehouse) Solid data engineering background using SQL, Python, PySpark, Delta Lake Experience 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 Responsibilities: Owning and developing the organisations 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 Technologies: AI Azure CI/CD DevOps Fabric GitHub Machine Learning Power BI Python PySpark Qlik SQL Cloud Marketing More: We are a well-established business investing heavily in our data and AI capability, seeking a Senior Data & Machine Learning Engineer to play a key role in shaping our modern data platform. This is a senior, hands-on role with a hybrid working model from our Warrington office. We offer a competitive salary of up to £65K, a 10% bonus, 20 days of annual leave (plus bank holidays, increasing with service), pension benefits, enhanced sick pay, life assurance, health and wellbeing benefits, and an Employee Assistance Programme. Additionally, we provide a Cycle to Work scheme and long service awards, allowing you to work with modern technologies including Microsoft Fabric, Azure AI, and ML tooling. last updated 17 week of 2026