Data Engineer

As the living, growing home of our national story, The National Archives is a special place to work. We’re an institution nearly 200 years old with a collection spanning 1,000 years of history.

We’ve set ourselves the challenge of becoming the 21st Century national archive - a different kind of cultural and heritage institution: Inclusive, Entrepreneurial, Disruptive. We won’t become this overnight. It will take time, focus, effort and daring.

That’s where you come in. Because we can’t do this without you.

Job Overview

• Salary: £45,000 per annum (£43,367 salary + £1633 market supplement)
• Contract type: Permanent
• Band: E / Higher Executive Officer
• Closing date: Wednesday 14th October 2026 at midnight

Shape the Future of the Nation’s Memory

At The National Archives, we are more than custodians of the past – we are pioneers in digital archiving, ensuring the UK’s public records are robust, connected, and accessible for generations to come. As a Data Engineer in our small, dynamic Digital Archiving team, you’ll help transform how archival data is managed, structured, and enriched, unlocking its value for public use and discovery

• Why Join Us?
• •Your work will directly support the preservation and accessibility of the UK’s documentary heritage, including a new Parliamentary Archives project.
• •We nurture talent, value every voice, and support personal and professional development. You’ll join a collaborative, forward-looking team where your ideas are heard and your growth is championed.
• •Work with a modern tech stack including Python, SQL, Shell scripting, Talend, XSLT, XML, CSV, JSON, RDF, RDBMS, NoSQL, and graph databases. You’ll help design and build scalable data pipelines, automate data processing, and develop tools for data enrichment and integration
• •We invest in your learning, offering opportunities to develop your skills in emerging technologies and data practices that enhance public access to archives.

• This Job Would Suit…
• If you’ve been working in an entry-level data role and are ready to take the next step, this is an ideal opportunity to grow your skills and responsibilities. We welcome those who are passionate about data, eager to learn, and keen to make a real impact. Data skills are highly valued at The National Archives, and you’ll be part of an active internal data community where specialists from across the organisation share knowledge, collaborate, and solve problems together.

• What You’ll Do
• •Design and develop scalable, repeatable data pipelines (ETL/ELT) to process, transform, and load archival data.
• •Automate data cleansing, validation, standardisation, and enrichment.
• •Develop and document schemas, ontologies, and models for archival data.
• •Integrate data from diverse sources and formats, supporting better discovery and reuse.
• •Collaborate with product teams, archivists, and developers to deliver practical, data-centric solutions.
• •Contribute to a culture of openness, quality, and continuous improvement.

• Who We’re Looking For
• •Strong experience in large-scale data analysis and manipulation using relevant programming languages and tools (e.g. Python, Shell scripting, SQL, XSLT).
• •Solid understanding of data formats (XML, CSV, JSON, RDF) and database technologies (RDBMS, NoSQL, graph databases).
• •Excellent analytical, problem-solving, and communication skills.
• •Ability to work collaboratively in multidisciplinary teams and explain technical issues to non-technical colleagues.
• •Awareness of the value and meaning of archival data and the ethical responsibilities of working with public records.

This is a full time post. However, requests for part-time working, flexible working and job share will be considered, taking into account at all times the operational needs of the Department.

A combination of onsite and home working is available and applicants should be able to regularly travel to our Kew site for a minimum of 60% of their work time.

• Ready to help shape the future of digital archiving?
• Apply now and join a team where your work matters – for today, and for generations to come.

Application Process

Interview: Interviews will be held on-site, ideally week commencing 2nd November 2026. The interview will include a technical test.

Personal Statement: We ask all applicants to upload their CV and to submit a personal statement of 600-700 words total.

Selection for interview will be based on the 3 ‘essential’ criteria listed below so please ensure that your application demonstrates in detail how you meet these requirements.

• •Data manipulation Strong experience of accurate, reliable, large-scale analysis and manipulation of complex datasets using relevant programming languages and tools (e.g. Shell scripting, SQL or XSLT).
• •Database technologies Practical knowledge of database technologies (e.g. RDBMS, noSQL, graph databases or linked data stores).
• •Analysis and problem solving Excellent analytical skills, with a structured and proactive approach to solving technical problems. Able to apply a range of techniques to capture, document and communicate requirements, issues, designs and solutions.

Applicants invited to interview will be assessed against ALL of the essential criteria (see job description below).

SC clearance/willingness to obtain SC clearance will be required for this role. This requires candidates to have been resident in the UK for at least the past five years. Please do not apply if you have been resident in the UK for less than five years as your application will be rejected.

Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please visit the Civil Service Careers website where you can find further information on the use of AI in the application guidance section.

Sponsorship:

We are unable to offer sponsorship for this role.

Job Description

Department Digital Archiving

Reports to Lead Data Engineer

Band Band E – (Civil Service Equivalent – HEO)

Location Kew (Hybrid working available)

Line manages Junior staff, suppliers and contractors as required

Job purpose

Archives are the homes of our collective memory, past and future. The National Archives is the archive of UK government, and one of the world’s leading digital archives. As the scale and complexity of our digital collections continue to grow, we ensure our data is robust, connected, and accessible.

We are looking for a Data Engineer who thrives on solving complex problems, working at scale, and creating the pipelines and models that power access to the nation’s records. You will play a key role in transforming how archival data is managed, structured, and enriched, helping to unlock its value for public use and discovery.

This role is ideal for someone who enjoys designing and building efficient data workflows, developing tools to automate data processing, and collaborating with product teams and specialists to understand data needs and deliver practical solutions. You will bring strong programming skills and a good understanding of data modelling, transformation, and integration across a variety of formats and technologies.

You will work in a supportive, forward-looking team that values transparency, curiosity, and collaboration. You’ll have opportunities to develop your skills in existing and emerging technologies that enhance public access to archives and promote the re-use of data in meaningful ways.

Role and responsibilities

This role falls under the GDD (formerly DDaT) Data Engineer and Data Analyst roles with elements of the Data Scientist role.

Key Responsibilities

Data processing and pipelines

Design and develop scalable, re