At a Glance
- Tasks: Design and optimise data solutions on cloud platforms, focusing on Databricks.
- Company: Join Standard Life, a leader in the Pensions & Savings sector.
- Benefits: Enjoy a competitive salary, private medical cover, and 38 days annual leave.
- Other info: Flexible working options available; we value diversity and inclusion.
- Why this job: Shape how data drives modern pensions and make a real impact.
- Qualifications: Experience in Python, SQL, and cloud platforms; data pipeline expertise required.
The predicted salary is between 45000 - 65000 £ per year.
We have an incredible opportunity to join Standard Life as a Senior Data Engineer within our Digital, Engineering & Delivery team, in the Pensions & Savings division. This role requires a strong background in data engineering and will play a key part 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 how to balance this with business requirements during the recruitment process.
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.
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 optimising 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
What are we looking for?
- 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.
Senior Data Engineer in Telford employer: Standard Life plc
At Standard Life, we pride ourselves on being an exceptional employer, offering a supportive work culture that values flexibility and personal growth. With competitive benefits including up to £105,000 salary, generous annual leave, and opportunities for career development, our London-based team thrives in an environment that encourages innovation and collaboration. Join us as a Principal Cloud Architect and be part of a company dedicated to making a meaningful impact in the retirement sector while enjoying a balanced work-life approach.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Telford
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Standard Life plc!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at Standard Life plc.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Standard Life plc.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Standard Life plc, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer in Telford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Standard Life plc, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Standard Life plc. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Standard Life plc
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Standard Life plc!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
