Vacancy For Data Engineer In The Digital Archiving Department At The National Archives Job In Kew

Vacancy for Data Engineer in the Digital Archiving Department at The National Archives - Digital Preservation Coalition
  • Kew, Other, United Kingdom
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Job Description

  • Vacancy for Data Engineer in the Digital Archiving Department at The National Archives
Vacancy for Data Engineer in the Digital Archiving Department at The National Archives

3 April 2020

Kew, London

£46,000 per annum

Full-Time

The National Archives is looking for an experienced Data Engineer with in-depth experience in data design and engineering to help build the next generation of digital archiving services. We are currently creating a new digital service to help our users send public data and records to the archive. We have the ambition to do more to structure, enrich and analyse that data to make it easier to find, use and understand and open up new access routes for a wider range of users, including citizens, academics and government.

Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below.

You will work in an open, transparent and collaborative environment, engaging with internal and external communities to share your work and learn from others. You will build your understanding of developing technologies that can be applied to enhance understanding of archival content and enable access and re-use of public data.

As our Data Engineer, you will have a strong background in creating models and schemas, managing and enriching data, constructing data products and services, and integrating them into systems and business processes. You will have excellent experience of a range of database technologies and relevant programming languages and be highly skilled in structuring, analysing and exploring data to reveal valuable insights.

This is a varied role with the scope to make an impact across all of our digital archiving services. Your work will include data analysis, design, prototyping, integration, and testing, and you will have experience in problem solving using data design. Your will create models and schemas (re-using standards and or developing new approaches as appropriate), define mappings and transformations and integrate data pipelines into systems and services.

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