Senior Data Engineer
Standard Life plc · Telford, England, UK
Apply directly on Standard Life plc’s careers site — no account needed.
About the role
Job Description
We have an incredible opportunity to join us here at Standard Life as a Senior Data Engineer to join our Digital, Engineering & Delivery team within Pensions & Savings. We're looking for someone with strong experience in data engineering and you'll play a key role in delivering scalable, high-quality data solutions.
Job Type: Permanent
Location: This role could be based in either our Birmingham, Telford or Edinburgh offices with time spent working in the office and at home.
Closing Date: 03/08/2026
Flexible working: All roles are open to part-time, job-share and other types of flexibility. We will discuss what is important to you and balancing this with business requirements during the recruitment process. You can read more about flexible working here.
Salary and benefits: £45,000 - £65,000 depending on experience plus bonus, private medical cover, 38 days annual leave, excellent pension, 12x salary life assurance, career breaks, income protection, 3x volunteering days and much more.
To make things easier, you might want to save this advert now, it won’t be accessible after the closing date.
Who are we?
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.
The Role
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.
Key Responsibilities
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
We have an incredible opportunity to join us here at Standard Life as a Senior Data Engineer to join our Digital, Engineering & Delivery team within Pensions & Savings. We're looking for someone with strong experience in data engineering and you'll play a key role in delivering scalable, high-quality data solutions.
Job Type: Permanent
Location: This role could be based in either our Birmingham, Telford or Edinburgh offices with time spent working in the office and at home.
Closing Date: 03/08/2026
Flexible working: All roles are open to part-time, job-share and other types of flexibility. We will discuss what is important to you and balancing this with business requirements during the recruitment process. You can read more about flexible working here.
Salary and benefits: £45,000 - £65,000 depending on experience plus bonus, private medical cover, 38 days annual leave, excellent pension, 12x salary life assurance, career breaks, income protection, 3x volunteering days and much more.
To make things easier, you might want to save this advert now, it won’t be accessible after the closing date.
Who are we?
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.
The Role
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.
Key Responsibilities
- 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
- Hands-on experience with cloud platforms (Azure preferred)
- Proven experience in Python and SQL
- Experience building and optimising data pipelines and large-scale data processing systems
- Good understanding of data modelling and data warehouse design
-
Experience with Databricks or similar modern data platforms
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
-
Find or get answers from our colleagues: www.standardlifeplc.com/careers/talk-to-us
Description sourced from the public Indeed listing — this role isn't indexed from the company's career page yet.
Skills
- Databricks
- SQL
- Python
- Spark
- Azure
- AWS
- GCP
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