Senior Data Engineer

We have an exciting opportunity for a highly skilled Senior Data Engineer to join the Client's Data team.

The Client operates within the UK life and pensions sector, with a long-established heritage and a clear purpose: helping people live financially confident lives by protecting income during working years and maximising it in retirement. Over one million members and customers rely on the Client to support their futures, families and finances.

Joining the Client means becoming part of an organisation that places customers, members and advisers at the heart of everything it does. The Client is committed to fostering an inclusive culture where colleagues feel welcomed, respected, supported and valued, and where individuality is encouraged.

You will play a critical role in shaping and implementing enterprise-scale data platforms that support advanced analytics, reporting and data governance., * Utilise cloud technologies and modern programming languages to develop and maintain centralised data platforms supporting both operational and strategic business needs.

• Collaborate with stakeholders to translate data requirements into actionable requests or delivered solutions.
• Work closely with project managers to coordinate and prioritise data requests in a controlled, effective manner.
• Lead the development and ongoing improvement of technical data standards, ensuring all data products are compliant.
• Act as the Data Workstream Lead for change portfolios, providing strong technical direction and design guidance aligned with the overall data strategy.
• Manage and review the work of assigned engineers and offshore partners, mentoring team members and promoting best practices.
• Ensure all data processes and reports are accurately documented, with data governance and quality standards consistently applied and continuously improved.

• Strong working knowledge of data warehousing, ETL/ELT processes and programming languages including SQL, Python and PySpark.
• Experience working with cloud-based BI and MI platforms, such as Azure, Databricks, Azure Data Factory and Microsoft Fabric.
• Proven experience leading development workstreams within data-centric or technical programmes.
• Demonstrated ability to implement best-practice approaches to data security, quality and governance, ensuring accuracy and compliance.
• Excellent communication skills, with the ability to translate complex technical concepts into clear, non-technical explanations.
• Comfortable working accurately under pressure in fast-paced environments, with strong prioritisation skills.
• Proven experience building and maintaining effective relationships internally and externally.

Desirable

• Previous experience working within the insurance or financial services sector