Data Engineer

Responsibilities

You will maintain reliable, scalable data pipelines and optimize data solutions on cloud platforms like Databricks. Additionally, you will collaborate with cross-functional teams to integrate data into core business processes and ensure high standards of data quality and security.

Requirements

Candidates should have hands-on experience with cloud platforms, specifically Azure, and proficiency in Python and SQL. A strong background in data modelling, data warehouse design, and large-scale data processing systems is required.

Skills

• Data engineering
• Python
• SQL
• Cloud platforms
• Azure
• Databricks
• Data pipelines
• Data modelling
• Data warehouse design
• ETL
• ELT
• Data quality
• Data governance
• Performance optimization

Benefits

• Bonus
• Private medical cover
• 38 days annual leave
• Pension
• 12x salary life assurance
• Career breaks
• Income protection
• 3x volunteering days

About this role

We have an incredible opportunity to join us here at Standard Life as a 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: 26/11/2026

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: £35,000 - £45,000 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 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 Data Engineer, you will be responsible for supporting, 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:

•    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
•    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

What are we looking for?
•    Hands-on experience with cloud platforms (Azure preferred)
•    Proven experience in Python and SQL
•    Experience supporting 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 want to hire the whole version of you.

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, 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

About Phoenix Group

Financial Services · 5,001-10,000 employees · headquartered in London, England