Senior Data Engineer

We’re Standard Life, a retirement specialist focused entirely on retirement savings and income. We champion the belief that everyone’s journey to and through retirement can be better, and for more than 200 years, we’ve been helping our customers plan and prepare for their financial futures.  

Life today is increasingly complicated, uncertain and unpredictable. People move through different careers, face unexpected moments and navigate important choices. We offer our colleagues flexibility, trust and benefits that work for whatever life brings. In return we expect curiosity, connection, accountability and high standards. We make room for what matters - so you can bring your best, every day. 

We are seeking a Senior Data Engineer to join the Digital, Engineering & Delivery team within Pensions & Savings. This is a pivotal role for candidates with a strong background in data and engineering who want to shape how data drives every aspect of a modern pensions business. From operational efficiency and digital transformation to regulatory compliance and customer engagement, your work will influence decisions and enable change across the organisation.

As a Senior Data Engineer, you will be responsible for designing, implementing, and optimizing data solutions on cloud platforms, with a strong emphasis on Databricks. Beyond analytics, you will help embed data capabilities into core business processes, supporting areas such as operations, digital services, risk management, accounting and actuarial. You will collaborate with cross-functional teams—including data scientists, analysts, product owners, and operational leaders—to ensure data is a trusted, integrated asset powering innovation and business outcomes.

•    Build and maintain reliable, scalable data pipelines to support digital enablement, reporting, analytics, and data science
•    Work closely with analysts, data scientists, and business teams to understand data requirements
•    Support and optimise our Databricks platform, ensuring it is used efficiently and at scale
•    Develop and maintain ETL/ELT processes to integrate data from multiple systems
•    Identify and fix performance issues in data pipelines and queries
•    Ensure data quality, security, and governance standards are met
•    Create clear documentation for data pipelines and platform design

We are committed to ensuring that everyone feels accepted and welcome applicants from all backgrounds. If your experience looks different from what we’ve advertised and you believe that you can bring value to the role, we’d love to hear from you. 

If you require any adjustments to the recruitment process, please let us know so we can help you to be at your best. 
We’re reviewing applications as they come in and may close this role before the closing date, so apply early to avoid missing out.
 

Find out more about working at Standard Life
•    Guide for Candidates: standardlifeplc.pagetiger.com/guideforcandidates #LI-GJ1
•    Find or get answers from our colleagues: www.standardlifeplc.com/careers/talk-to-us