People Data Engineering Apprentice (Buro Happold Limited)
BURO HAPPOLD ENGINEERS LIMITED
Bath (BA2 3DP)
Closes in 29 days (Friday 24 April 2026)
Posted on 25 March 2026
Contents
Summary
At Buro Happold, people are at the heart of everything we do - and understanding our people through data is key to shaping a better, more informed organisation.
- Wage
-
£26,228 a year
- Training course
- Data engineer (level 5)
- Hours
-
Monday to Friday, 9am to 5.30pm
37 hours 30 minutes a week
- Start date
-
Monday 11 May 2026
- Duration
-
1 year 7 months
- Positions available
-
1
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
As a People Data Engineering Apprentice, you’ll play an active role in building and maintaining the systems that help us transform raw data into meaningful insights. Over the course of your Level 5 Data Engineer apprenticeship, you’ll develop your technical and professional skills while working on real projects that make a difference globally. You’ll be supported by experienced colleagues, a structured on-the-job learning plan, and a strong early careers community, helping you develop the technical, professional, and problem solving skills to thrive in data.
What will I be doing?
You’ll be part of the People Data & Solutions team, supporting the end-to-end data lifecycle: ingestion, storage, transformation, and quality - so that analysts, data scientists, and business teams can rely on trusted insights.
Data Engineering & Technical
- Work with people data models to understand how data is structured and used.
- Help design, build, and maintain data pipelines from structured, semi structured, and unstructured sources.
- Support ETL processes: clean, validate, and transform data for downstream use.
- Monitor pipelines, investigate issues, identify root causes, and support fixes.
- Contribute to data quality frameworks (accuracy, completeness, consistency, timeliness).
- Support deployment of new data processes and maintain technical documentation.
Data Governance & Compliance
- Follow data governance, privacy, and security standards.
- Maintain accurate records and audit logs.
- Analyse data flows to identify gaps, risks, or inconsistencies.
- Handle confidential information with professionalism.
Operational & Administrative
- Help prepare routine people data reports and dashboards.
- Respond to data access and data quality queries in a timely manner.
- Assist with small-scale data projects, meeting deadlines with strong attention to detail.
- Support the HR Systems Specialist with data-related system updates and improvements.
Collaboration & Continuous Improvement
- Work closely with analysts, data scientists, HR, and business teams to understand data needs.
- Contribute ideas that improve processes, tools, and documentation.
- Stay curious about data engineering, cloud, and AI—bringing new ideas to the team.
Where you'll work
Pinesgate
Lower Bristol Road
Bath
BA2 3DP
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
More training information
BPP apprenticeship training programmes are delivered virtually by our fully qualified and industry-experienced training team. Using their expert knowledge, we’ve purposefully built our programmes around the real-world use of modern technology, so that the skills we create can be directly applied in the workplace.
Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their work experience.
Requirements
Essential qualifications
GCSE in:
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Microsoft Office
- Interest in data
- Strong communicator
- Professional and approachable
- Prioritising multiple tasks
- Able to adapt to change
- Collaborative and respectful
- Proactive
- Accountable
Other requirements
- Proactive, accountable, and committed to continuous improvement.
About this employer
Buro Happold are a global practice of engineers, designers and advisers committed to delivering elegant, sustainable solutions that positively impact communities and the environment. Join us in shaping a transformative future.
Company benefits
starting salary of £26,228 per annum. Benefit highlights include 25 days holiday + POETS day (early finish on the last Friday of the month), and other competitive benefits.
After this apprenticeship
Prospects of permanent contract after completion of apprenticeship or support in pursuing further apprenticeships if desired.
Ask a question
The contact for this apprenticeship is:
BPP PROFESSIONAL EDUCATION LIMITED
The reference code for this apprenticeship is VAC2000023092.
Apply now
Closes in 29 days (Friday 24 April 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.