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Data Engineer - Government Digital Service - SEO

Job in Bristol, Bristol County, BS1, England, UK
Listing for: Manchester Digital
Full Time position
Listed on 2026-02-18
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 46725 - 50220 GBP Yearly GBP 46725.00 50220.00 YEAR
Job Description & How to Apply Below

£42,893 - £45,653 (National) / £46,725 - £50,220 (London) - Based on capability
Published on

Full-time (Permanent) £42,893 - £45,653 (National) / £46,725 - £50,220 (London) - Based on capability
Published on 16 February 2026

Location

Bristol, London, Manchester

About the jobJob summary

The Government Digital Service (GDS) is the digital centre of government. We are responsible for setting, leading and delivering the vision for a modern digital government.

Our priorities are to drive a modern digital government, by:

  • joining up public sector services
  • harnessing the power of AI for the public good
  • strengthening and extending our digital and data public infrastructure
  • elevating leadership and investing in talent
  • funding for outcomes and procuring for growth and innovation
  • committing to transparency and driving accountability

We are home to the Incubator for Artificial Intelligence (I.AI), the world-leading  and at the forefront of coordinating the UK’s geospatial strategy and activity. We lead the Government Digital and Data function and champion the work of digital teams across government.

We’re part of the Department for Science, Innovation and Technology (DSIT) and employ more than 1,000 people all over the UK, with hubs in Manchester, London and Bristol.

The Government Digital Service is where talent translates into impact. From your first day, you’ll be working with some of the world’s most highly-skilled digital professionals, all contributing their knowledge to make change on a national scale.

Join us for rewarding work that makes a difference across the UK. You'll solve some of the nation’s highest-priority digital challenges, helping millions of people access services they need.

You’ll be the technical data expert in  and the voice of authority with regards to data infrastructure. You’ll be a key point of contact for our use of Google Cloud and the adoption of new technologies to support the use of data within  and GDS driving innovation and best practice.

As a Data Engineer you’ll be uniquely positioned, spanning the data professionals and the technical communities to build links and support cross pollination of work.

As a Data Engineer you’ll:

  • support the design and implementation of numerous complex data flows to connect operational systems, data for analytics and business intelligence (BI) systems
  • enable teams to make better use of data to improve user experience of government services including web analytics data (Big Query),  content data (AWS), content metadata and user feedback (Smart Survey API)
  • identify areas of innovation in data tools and techniques and test and implement improvements
  • maintain and continuously  's data pipelines and oversee the implementation and management of a semantic layer  data
  • be an active member of the tech community  and a technical expert for the  Insights and Analytics team. You will be the link that joins our data and technical communities
  • identify, define and roll out standards and best practice for our data infrastructure  teams, and ensure compliance
Person specification

We’re interested in people who:

  • can translate user requirements and data models into effective, scalable, robust ETL solutions in line with build standards and data regulations, ensuring code is production ready
  • have experience defining data infrastructure to bring multiple data sources together in a conformed model for analysis
  • can work as part of a multidisciplinary team to plan and prioritise work, sometimes working independently and sometimes pairing with developers/data practitioners or pairing with technical writers to update technical documentation
  • can demonstrate strong practical background of using Google Cloud using technologies such as Big Query and Dataform
  • identify areas of innovation in data tools and techniques, and recognise appropriate timing for adoption
  • establishes standards in terms of data infrastructure, access and policies. Keeps them up to date and ensure adherence to them
  • make changes which add value and clearly articulate how changes will benefit the business
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