Overview

LondonFull-TimeThe 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 new digital services to help our users send public data and records to the archive and preserve this nationally important resource for the future. 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.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.

Responsibilities

Design and build data models and schemas; manage and enrich data; construct data products and services and integrate them into systems and business processes.Apply a range of database technologies and programming languages; structure, analyse and explore data to reveal valuable insights.Engage in data analysis, design, prototyping, integration and testing; solve problems using data design.Create models and schemas (re-using standards and/or developing new approaches); define mappings and transformations; integrate data pipelines into systems and services.Identify opportunities for improvements and communicate effectively with technical and non-technical audiences within The National Archives and internationally.Collaborate with developers, designers, archivists and researchers to create high-quality, user-focused digital services and share knowledge in a collaborative environment.

Qualifications

Strong background in creating models and schemas, managing and enriching data, and constructing data products and services.Excellent experience with a range of database technologies and relevant programming languages.Skilled in structuring, analysing and exploring data to reveal valuable insights.Ability to communicate effectively with both technical and non-technical audiences.

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