About the role

  • Senior Data Engineer shaping data landscape and leading ETL/ELT solutions for mission-critical engineering projects in the UK. Collaborating with teams to deliver high-quality data products.

Responsibilities

  • Shape our data landscape, influence long‑term digital transformation, and grow your technical and leadership skills while supporting projects that make a real difference.
  • Lead the design and development of ETL/ELT solutions across the full software development life cycle.
  • Collaborate with data engineers, developers, analysts, testers and project teams to deliver high‑quality data products.
  • Establish data modelling standards and contribute to best‑practice development across the organisation.
  • Support platform administration and help advance modern cloud technologies, including Azure, Microsoft Fabric and Databricks.
  • Mentor and guide colleagues, driving continuous improvement in engineering delivery and AI‑ready data capabilities.

Requirements

  • Extensive experience with the Microsoft SQL Server BI stack (SSIS, SSAS) or equivalent ETL/ELT platforms, plus Python.
  • Proven ability to analyse and resolve reporting and data pipeline performance issues.
  • Strong experience gathering and documenting high‑quality business requirements and engaging stakeholders.
  • Expertise in database design, data warehousing, ODS/DataMart’s, OLAP concepts and dimensional modelling.
  • Strong capability in cloud data engineering or readiness to lead cloud adoption using Azure Data Factory, Azure Databricks, Microsoft Fabric or Azure Data Lake Storage.
  • The successful candidate must be able to achieve and maintain Standard (BPSS) / Security Check (SC) security clearance for this role.

Benefits

  • Generous holiday allowance
  • Matched contribution pension scheme, with life assurance
  • Access to a Digital GP, annual health check and nutritional consultations through Aviva DigiCare+
  • Employee share scheme
  • Employee shopping savings portal
  • Payment of Professional Fees
  • Reservists in the armed forces receive 10‑days special paid leave
  • Holiday Trading – buy or sell up to one working week of annual leave
  • ‘Be Kind Day’ – one paid volunteering day each year
  • Flexible working – supporting better integration of work and personal life
  • A dynamic working environment

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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