At a Glance
- Tasks: Lead a Data Feature Team to deliver impactful data projects and solutions.
- Company: Join a forward-thinking company transforming its business through technology.
- Benefits: Enjoy 28 days' leave, private medical insurance, and a generous pension scheme.
- Other info: Hybrid work environment with opportunities for career growth and development.
- Why this job: Make a real difference by harnessing data for meaningful business outcomes.
- Qualifications: Experience in data engineering or analysis with strong SQL skills required.
The predicted salary is between 51750 - 63250 £ per year.
Posted on: 21/08/2026 – Application Deadline: 04/09/2026
Are you ready to chart your own career path? With our refreshed strategy, we’re building on our rich heritage and transforming our business to be more scalable and efficient, unlocking the capabilities needed for future success. This includes significantly investing in technology, streamlining the way we work and creating an environment where colleagues feel engaged, empowered and accountable; where they can show up, speak up and perform - because we believe in the difference our work makes.
At a glance:
- Location: Cirencester Office
- Workplace Type: Hybrid
- Employment Type: 6 month Fixed-Term Contract
- Seniority: Mid-Senior Level
About the role:
We are offering an outstanding opportunity to join our ambitious Data & Insights team as a Senior Data Engineering Analyst. Reporting to the Divisional Director, you will work with a team of analysts, engineers, and testers. You will manage tasks within a specific Data Feature Team. You will play a crucial role in planning, coordinating, and crafting the build, development, testing, and implementation of data projects. This ensures alignment with our Data Strategy and Corporate aims.
What you'll be doing:
- Guide and manage a Data Feature Team, ensuring perfect delivery of data outputs.
- Engage early with potential projects to determine scope and objectives.
- Drive solutions and resolve issues using your proven expertise.
- Coordinate with Project Managers and Scrum Masters to ensure Agile epics and stories are accurately set up and tracked.
- Ensure smooth transition of project deliverables to Data Operations.
- Liaise with Third Party development teams to promote data quality.
About you:
We are looking for an experienced Data Engineering Analyst who is passionate about harnessing the power of data to deliver meaningful business outcomes. The ideal candidate will bring a strong background in data engineering or analysis, a proven ability to deliver complex projects successfully, and a drive to continuously improve processes and technologies. You will be a collaborative team player who works effectively across functions, translating business requirements into scalable, reliable, and high-performing data solutions. With a commitment to quality, innovation, and customer success, you will play a key role in delivering world-class data capabilities that enable informed decision-making and support the organisation's strategic objectives.
Proven experience working as a Data Engineering Analyst, Data Analyst, Data Engineer, or in a similar data-focused role.
Understanding of the full data and software development lifecycle, including requirements gathering, design, development, testing, deployment, and support.
Advanced SQL skills with the ability to write, optimise, and troubleshoot complex database queries.
Strong analytical and problem-solving skills, with experience conducting root cause analysis and implementing effective solutions.
Experience working with and managing data across multiple enterprise data repositories and platforms.
A passion for data quality, with a strong understanding of data accuracy, consistency, validity, integrity, and governance principles.
Hands-on experience using data management, data quality, and data governance tools and techniques.
Strong stakeholder management and communication skills, with the ability to work effectively with both technical and non-technical audiences.
Practical experience with one or more of the following technologies: Power BI, SQL, Snowflake.
Ability to interpret business requirements and translate them into effective data solutions.
Wealth management or Financial Services Experience.
Experience with Agile methodologies.
Knowledge of data quality guidelines.
Familiarity with financial data systems and processes.
What's in it for you?
Whatever stage of life you're in, our benefits are designed to provide the support, flexibility, and peace of mind you need to thrive both at work and beyond. In addition to our discretionary annual bonus scheme, which reflects both individual and company performance, you'll benefit from a market-leading benefits package tailored to support your wellbeing, financial security, and family life.
Our benefits include:
- 28 days' annual leave plus bank holidays, with the option to purchase up to 5 additional days.
- Private Medical Insurance – company-funded cover for you and your immediate family.
- Generous Pension Scheme – a non-contributory employer contribution of 10%, increasing with length of service up to 15%, plus the opportunity to increase this through salary sacrifice.
- Enhanced Parental Leave – up to 26 weeks' full pay to support growing families.
- Protection Benefits – company-funded critical illness cover, income protection, and life assurance.
- EV salary sacrifice scheme through Tusker.
Reasonable Adjustments
We're an equal opportunities employer and want to ensure our recruitment process is accessible and inclusive for all. If you require reasonable adjustment(s) at any stage please let us know by emailing us at careers@sjp.co.uk. Research tells us that applicants (especially those from underrepresented groups) can be put off from applying for a role if they do not meet all the criteria or have been on an extended career break. If you think you would be a good match for this role and can demonstrate some transferable experience.
Senior Data Engineering Analyst employer: St. James's Place
St. James’s Place is an excellent employer, offering a dynamic work culture that prioritises employee well-being and professional growth. Located in Cirencester, this hybrid role as a Data Privacy Manager not only provides competitive benefits such as parental leave and health insurance but also fosters an environment where employees can thrive through collaboration and engagement with diverse stakeholders in the regulated financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineering Analyst
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like St. James's Place before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like St. James's Place.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like St. James's Place.
We think you need these skills to ace Senior Data Engineering Analyst
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at St. James's Place, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to St. James's Place, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab St. James's Place’s attention and show the tangible impact of your work.
How to prepare for a job interview at St. James's Place
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at St. James's Place.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at St. James's Place.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at St. James's Place.
