Who We Are
St. James's Place (SJP) is a leading Wealth Management company which works in partnership to plan, grow and protect our clients’ financial futures. We deliver personalised, face-to-face financial advice to our clients, who trust us to manage their money to reach their goals.
The Data Engineering and Analytics Apprenticeship Programme
Assessment Centre: Tuesday 17 Feb 2026
The Data Engineering and Analytics Apprenticeship Programme within our CTO Function is a 12-month programme and offers an excellent grounding in the fundamental principles of Data in one of the UK’s largest wealth management organisations.
The Chief Data Office (CDO) sits within our Chief Technology Office (CTO) and ensures data is managed as one of the organisation’s most valuable assets. It sets the vision for how data is used, ensures information is accurate, well-managed, and secure, and helps the business unlock value through insights and innovation.
As an apprentice in this area, you’ll be exposed to:
1. Data governance and quality – learning how we make sure data is trusted and consistent.
2. Data management – understanding how data is stored, integrated, and shared across the business.
3. Analytics and insight – understand how data is turned into meaningful information that guides decisions. Learn how to develop and deploy visualisations.
4. Regulation and compliance – gaining awareness of how data is protected and used responsibly.
5. Data culture – helping improve awareness and skills so everyone can make better use of data.
Alongside this you will be studying for Level 5 Data Engineer Apprenticeship
You will also advance your technical skills through a curriculum developed for our apprentices and delivered through our St James’s Place Technology and Data Academy.
This is a permanent vacancy and so upon successful completion of the Apprenticeship Programme you will continue your career within our Chief Data Office (CDO).
Key Responsibilities
6. Learn and apply data engineering fundamentals – gain hands-on experience with databases, cloud platforms, and data integration tools.
7. Support data pipelines – help design, build, and maintain processes that move and transform data between systems.
8. Assist with data quality checks – monitor data for accuracy, completeness, and consistency, escalating issues where needed.
9. Work with senior engineers – shadow and support in developing efficient, reliable, and secure data solutions.
10. Document processes and standards – contribute to clear documentation to support knowledge sharing and best practice.
11. Collaborate across teams – work with analysts, architects, and business users to understand data needs and deliver value.
12. Develop technical skills – grow your knowledge in SQL, Python, cloud technologies (, AWS, Azure, or Snowflake), and modern data engineering tools.
13. Support data governance initiatives – help apply data security, compliance, and management standards.
Requirements of the Job:
We are looking for someone with an interest of basic knowledge of data analytics and engineering who is willing to learn and progress within the profession and undertake the apprenticeship qualification.
14. On track to complete or have attained A-levels (or equivalent) in Computing, Data or analytical subject(s)
15. Minimum Level 5 in English Language and Mathematics at GCE (or equivalent)
16. Understanding of Databases
17. Great analytical skills.
18. Strong communication- written and verbal.
19. Self-motivated and interested in learning and taking on a challenge.
Special Requirements:
This role will be based full-time in our Cirencester office and you will be expected to be In the office a minimum of three days per week.
Please note that due to the eligibility criteria for visa sponsorship, we are unable to offer work visa sponsorship for our Apprenticeship programmes.
#LI-ONSITE
#LI-HB2