Data Engineering and Analytics Apprenticeship Programme

Data Engineering and Analytics Apprenticeship Programme

Apprenticeship No working from home possible
St. James's Place

At a Glance

  • Tasks: Dive into data engineering and analytics, gaining hands-on experience with cutting-edge tools.
  • Company: Join St. James's Place, a leading wealth management company with a focus on innovation.
  • Benefits: Earn while you learn with a permanent role and professional development opportunities.
  • Other info: Collaborative environment with excellent career growth and a supportive team.
  • Why this job: Make an impact by transforming data into insights that guide financial decisions.
  • Qualifications: A-levels in Computing or analytical subjects; strong communication and analytical skills.

Join to apply for the Data Engineering and Analytics Apprenticeship Programme role at St. James’s Place.

Who We Are

St. James's Place (SJP) is a leading Wealth Management company that delivers personalised, face‑to‑face financial advice to clients, helping them plan, grow and protect their financial futures.

The Data Engineering and Analytics Apprenticeship Programme is a 12‑month programme that offers an excellent grounding in the fundamental principles of data in one of the UK’s largest wealth management organisations. The Chief Data Office sits within the Chief Technology Office and ensures data is managed as one of the organisation’s most valuable assets, setting the vision for how data is used, ensuring accuracy, management, security and driving insights and innovation.

As an apprentice you’ll be exposed to:

  • Data governance and quality – learning how we make sure data is trusted and consistent.
  • Data management – understanding how data is stored, integrated, and shared across the business.
  • Analytics and insight – learn how data is turned into meaningful information that guides decisions and how to develop and deploy visualisations.
  • Regulation and compliance – gaining awareness of how data is protected and used responsibly.
  • Data culture – helping improve awareness and skills so everyone can make better use of data.

Alongside this you will study for Level 5 Data Engineer Apprenticeship and advance your technical skills through curriculum delivered by the St James’s Place Technology and Data Academy. This is a permanent vacancy. Upon successful completion you will continue your career within the Chief Data Office.

Key Responsibilities

  • Learn and apply data engineering fundamentals – gain hands‑on experience with databases, cloud platforms, and data integration tools.
  • Support data pipelines – help design, build and maintain processes that move and transform data between systems.
  • Assist with data quality checks – monitor data for accuracy, completeness and consistency, escalating issues where needed.
  • Work with senior engineers – shadow and support in developing efficient, reliable and secure data solutions.
  • Document processes and standards – contribute to clear documentation to support knowledge sharing and best practice.
  • Collaborate across teams – work with analysts, architects and business users to understand data needs and deliver value.
  • Develop technical skills – grow your knowledge in SQL, Python, cloud technologies (AWS, Azure, Snowflake) and modern data engineering tools.
  • Support data governance initiatives – help apply data security, compliance and management standards.

Requirements of the Job

  • On track to complete or have attained A‑levels (or equivalent) in Computing, Data or analytical subject(s).
  • Minimum Level 5 in English Language and Mathematics at GCE (or equivalent).
  • Understanding of databases.
  • Great analytical skills.
  • Strong communication – written and verbal.
  • Self‑motivated and willing to learn and take 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 at least 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.

Data Engineering and Analytics Apprenticeship Programme employer: St. James's Place

St. James's Place is an exceptional employer, offering a dynamic work culture that prioritises employee growth and development through its Data Engineering and Analytics Apprenticeship Programme. Located in Cirencester, this programme not only provides hands-on experience with cutting-edge data technologies but also fosters a collaborative environment where apprentices can learn from industry experts while contributing to meaningful projects that shape the future of wealth management.

St. James's Place

Contact Details:

St. James's Place Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineering and Analytics Apprenticeship Programme

Tip Number 1

Get to know the company! Research St. James’s Place and understand their values, mission, and the role of data in their operations. This will help you tailor your conversations during interviews and show that you're genuinely interested.

Tip Number 2

Practice your technical skills! Brush up on SQL, Python, and any other relevant tools mentioned in the job description. Being able to demonstrate your knowledge in these areas can really set you apart during assessments.

Tip Number 3

Network like a pro! Connect with current employees or alumni from the programme on LinkedIn. They can provide insider tips and might even refer you internally, which can give you a leg up in the application process.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at St. James’s Place.

We think you need these skills to ace Data Engineering and Analytics Apprenticeship Programme

Data Governance
Data Quality
Data Management
Data Analytics
Data Visualisation
Regulation and Compliance
SQL

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Engineering and Analytics role. Highlight relevant skills, experiences, and projects that showcase your analytical abilities and understanding of databases. We want to see how you fit into our world!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how this apprenticeship aligns with your career goals. Be genuine and let your personality come through – we love to see enthusiasm!

Showcase Your Skills:If you've got experience with SQL, Python, or any cloud technologies, make sure to mention them! We’re looking for self-motivated individuals who are eager to learn, so don’t hold back on sharing your technical skills and any relevant coursework.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details you need about the role and our company there!

How to prepare for a job interview at St. James's Place

Know Your Data Basics

Before the interview, brush up on your understanding of data engineering fundamentals. Familiarise yourself with key concepts like databases, data pipelines, and cloud platforms. This will not only help you answer technical questions but also show your enthusiasm for the role.

Showcase Your Analytical Skills

Be prepared to discuss examples of how you've used analytical skills in past projects or studies. Whether it's a school project or a personal endeavour, having concrete examples will demonstrate your capability and readiness for the apprenticeship.

Communicate Clearly

Strong communication is crucial in this role. Practice explaining complex data concepts in simple terms. During the interview, make sure to articulate your thoughts clearly and listen actively to the interviewers' questions.

Ask Insightful Questions

Prepare thoughtful questions about the apprenticeship programme and the Chief Data Office. This shows your genuine interest in the role and helps you understand how you can contribute to the team. Questions about data governance initiatives or team collaboration can be particularly insightful.