Senior Data Engineer
Warrington (3 days onsite, 2 days at home)
£60K + 10% bonus

You will lead the design and build of modern data platforms and analytics products in a cloud-first environment. You will own platform direction, deliver scalable pipelines, and support advanced analytics and AI use cases.

A key part of this role is hands-on work with Microsoft Fabric and AI. You will help shape how both are used together to deliver real business value.

What you will do

  • Own the data platform. Define standards, architecture, and best practice across storage, pipelines, and analytics
  • Design and deliver end to end data architecture. Focus on scalability, reuse, and performance
  • Move legacy and hybrid systems into a modern cloud data platform
  • Build and optimise automated data pipelines using SQL, Spark, and Python
  • Develop feature pipelines to support machine learning use cases
  • Set up CI/CD for data pipelines, models, and analytics assets
  • Monitor performance, control costs, and improve reliability of pipelines
  • Support enterprise reporting platforms. Improve data models, performance, and refresh cycles
  • Build governed semantic layers and reusable data products
  • Enable data science teams. Provide environments, tooling, and secure access to data
  • Support model deployment, monitoring, and integration into production systems
  • Integrate AI and machine learning services into data products, with a strong focus on Fabric-native capabilities
  • Embed data quality, lineage, and documentation across all assets
  • Ensure compliance with data governance standards and regulatory requirements
  • Work with stakeholders to translate business needs into technical solutions
  • Lead and mentor data engineers. Raise capability across the team

What you bring

  • Strong experience building modern data platforms in a cloud environment
  • Advanced skills in SQL, Python, and Spark
  • Experience with data modelling, ETL and ELT design, and pipeline orchestration
  • Hands on experience with CI/CD for data and analytics workflows
  • Exposure to AI and machine learning platforms and integration
  • Experience with real time or streaming data pipelines
  • Strong experience with enterprise BI tools and semantic modelling
  • Experience leading or mentoring engineers
  • Good understanding of cloud infrastructure, security, and access control
  • Strong communication skills. You explain complex topics in a clear way

What you are like

  • You think in systems and solve problems with an engineering mindset
  • You take ownership and manage priorities well
  • You work well with both technical and business teams
  • You focus on continuous improvement
  • You deliver work to a high standard and on time

What you get

  • Competitive salary and benefits
  • Pension and life assurance
  • 25 days holiday plus bank holidays, with flexibility options
  • Opportunity to shape a modern data platform and drive adoption of Fabric and AI
  • Supportive and performance focused culture