Technology Apprenticeship Programme – Data Engineering and Analytics
ST.JAMES'S PLACE MANAGEMENT SERVICES LIMITED
Cirencester (GL7 1FP)
Closes on Tuesday 6 January 2026
Posted on 24 November 2025
Contents
Summary
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. As an apprentice in this area, you’ll be exposed to data governance and quality, data management, analytics and insight, regulation and compliance, data culture.
- Wage
-
£22,330 a year
- Training course
- Data engineer (level 5)
- Hours
-
Monday to Friday - Typically 9am - 5pm.
Hybrid working - you will be required in the office 2-3 days each week and more when required.
Permanent contract.
35 hours a week
- Start date
-
Monday 14 September 2026
- Duration
-
1 year 8 months
- Positions available
-
2
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
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.
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 (e.g., AWS, Azure, or Snowflake), and modern data engineering tools
- Support data governance initiatives - help apply data security, compliance, and management standards.
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.
Where you'll work
St. James'S Place House
1 Tetbury Road
Cirencester
GL7 1FP
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
BPP PROFESSIONAL EDUCATION LIMITED
Training course
Data engineer (level 5)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Collate, evaluate and refine user requirements to design the data product.
- Collate, evaluate and refine business requirements including cost, resourcing, and accessibility to design the data product.
- Design a data product to serve multiple needs and with scalability, efficiency, and security in mind.
- Automate data pipelines such as batch, real-time, on demand and other processes using programming languages and data integration platforms with graphical user interfaces.
- Produce and maintain technical documentation explaining the data product, that meets organisational, technical and non-technical user requirements, retaining critical information.
- Systematically clean, validate, and describe data at all stages of extract, transform, load (ETL).
- Work with different types of data stores, such as SQL, NoSQL, and distributed file system.
- Identify and troubleshoot issues with data processing pipelines.
- Query and manipulate data using tools and programming such as SQL and Python. Manage database access, and implement automated validation checks.
- Communicate downtime and issues with database access to stakeholders to mitigate the operational impact of unforeseen issues.
- Evaluate opportunities to extract value from existing data products through further development, considering costs, environmental impact and potential operational benefits.
- Maintain a working knowledge of data use cases within organisations.
- Use data systems securely to meet requirements and in line with organisational procedures and legislation.
- Identify new tools and technologies and recommend potential opportunities for use in own department or organisation.
- Optimise data ingestion processes by making use of appropriate data ingestion frameworks such as batch, streaming and on-demand.
- Develop algorithms and processes to extract structured data from unstructured sources.
- Apply and advocate for software development best practice when working with other data professionals throughout the business. Contribute to standards and ways of working that support software development principles.
- Develop simple forecasts and monitoring tools to anticipate or respond immediately to outages and incidents.
- Identify and escalate risks with suggested mitigation/resolutions as appropriate.
- Investigate and respond to incidents, identifying the root cause and resolution with internal and external stakeholders.
- Identify and remediate technical debt, assess for updates and obsolescence as part of continuous improvement.
- Develop, maintain collaborative relationships using adaptive business methodology with stakeholders such as, business users, data scientists, data analysts and business intelligence teams.
- Present, communicate, and disseminate messages about the data product, tailoring the message and medium to the needs of the audience.
- Evaluate the strengths and weaknesses of prototype data products and how these integrate within an organisation’s overarching data infrastructure.
- Assess and identify gaps in existing tools and technologies in respect of implementing changes required.
- Identify data quality metrics and track them to ensure the quality, accuracy and reliability of the data product.
- Selects and apply sustainable solutions to contribute to net zero and environmental strategies across the various stages of product and service delivery.
- Horizon scanning to identify new technologies that offer increased performance of data products.
- Implement personal strategies to keep up to date with new technology and ways of working.
- Collate, evaluate and refine user requirements to design the data product.
- Collate, evaluate and refine business requirements including cost, resourcing, and accessibility to design the data product.
- Design a data product to serve multiple needs and with scalability, efficiency, and security in mind.
- Automate data pipelines such as batch, real-time, on demand and other processes using programming languages and data integration platforms with graphical user interfaces.
- Produce and maintain technical documentation explaining the data product, that meets organisational, technical and non-technical user requirements, retaining critical information.
- Systematically clean, validate, and describe data at all stages of extract, transform, load (ETL).
- Work with different types of data stores, such as SQL, NoSQL, and distributed file system.
- Identify and troubleshoot issues with data processing pipelines.
- Query and manipulate data using tools and programming such as SQL and Python. Manage database access, and implement automated validation checks.
- Communicate downtime and issues with database access to stakeholders to mitigate the operational impact of unforeseen issues.
- Evaluate opportunities to extract value from existing data products through further development, considering costs, environmental impact and potential operational benefits.
- Maintain a working knowledge of data use cases within organisations.
- Use data systems securely to meet requirements and in line with organisational procedures and legislation.
- Identify new tools and technologies and recommend potential opportunities for use in own department or organisation.
- Optimise data ingestion processes by making use of appropriate data ingestion frameworks such as batch, streaming and on-demand.
- Develop algorithms and processes to extract structured data from unstructured sources.
- Apply and advocate for software development best practice when working with other data professionals throughout the business. Contribute to standards and ways of working that support software development principles.
- Develop simple forecasts and monitoring tools to anticipate or respond immediately to outages and incidents.
- Identify and escalate risks with suggested mitigation/resolutions as appropriate.
- Investigate and respond to incidents, identifying the root cause and resolution with internal and external stakeholders.
- Identify and remediate technical debt, assess for updates and obsolescence as part of continuous improvement.
- Develop, maintain collaborative relationships using adaptive business methodology with stakeholders such as, business users, data scientists, data analysts and business intelligence teams.
- Present, communicate, and disseminate messages about the data product, tailoring the message and medium to the needs of the audience.
- Evaluate the strengths and weaknesses of prototype data products and how these integrate within an organisation’s overarching data infrastructure.
- Assess and identify gaps in existing tools and technologies in respect of implementing changes required.
- Identify data quality metrics and track them to ensure the quality, accuracy and reliability of the data product.
- Selects and apply sustainable solutions to contribute to net zero and environmental strategies across the various stages of product and service delivery.
- Horizon scanning to identify new technologies that offer increased performance of data products.
- Implement personal strategies to keep up to date with new technology and ways of working.
Training schedule
Data Engineer Level 5.
You will complete your formal training via live online classes with access to bespoke online resources and have the support of a dedicated tutor.
Requirements
Essential qualifications
GCSE in:
- English (grade 5)
- Maths (grade 5)
A Level in:
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Administrative skills
- Analytical skills
- Logical
- Communication (verbal/written)
About this employer
St. James’s Place the UK’s leading wealth manager is a FTSE 100 Wealth Management Company with £212 billion of client funds under management. Our desire to provide a dedicated service extends not only to our clients but in everything that we do. We take our responsibilities very seriously, and a large part of our success is attributed to our people and their commitment and enthusiasm.
https://www.sjp.co.uk/careers/careers-at-sjp (opens in new tab)
After this apprenticeship
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).
Ask a question
The contact for this apprenticeship is:
BPP PROFESSIONAL EDUCATION LIMITED
The reference code for this apprenticeship is VAC2000001997.
Apply now
Closes on Tuesday 6 January 2026
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