Junior Data Engineer

We continue to make year on year improvements in performance as we become a data and intelligence-led organisation, embedding our vision of customer excellence at every level and growing our reputation to make a difference every day.

This is a really exciting time to join our team as we grow and develop our ability to continuously analyse nationwide agricultural activity and provide agile, directed data and evidence-driven support to the farming community.

We are proud of this culture; how open and approachable we are and our commitment to individual development, investing in the skills of our people and creating an environment in which everyone can flourish. We hope that this appeals to you.

Further information can be found on the Rural Payments Agency website: rpa.gov.uk

• You will drive high data quality across the data engineering solutions you develop through efficient coding and robust unit testing.
• You will help facilitate the communication of technical processes to different technical and nontechnical audiences.
• You will partner and collaborate with other data engineers and business users to understand data needs and deliver on those needs.
• You will be adapting and embedding practices such as Devops within the products you develop. In addition to assisting in the development and maintenance of repeatable and reusable data products and technical documentation.
• You will help build and maintain our data engineering community to facilitate knowledge sharing, innovation, and collaboration across the department.
• Above all, you will be proactive and want to make an impact, and this may sometimes involve challenging current methods.

Your responsibilities will include the following:

• Designing data pipelines within SQL that efficiently load and transform data from a wider variety of sources.
• Unit testing pipelines to ensure data produced is of a high quality and meets requirements.
• Working with customers to ensure that their requirements are fully understood.
• Working closely with data suppliers to gain access to data in the most suitable form.