Data Engineer
Posting date: | 03 April 2025 |
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Salary: | £43,177 to £57,709 per year |
Additional salary information: | London: £46,963 to £57,709 / National: £43,177 - £54,004 (including allowance) |
Hours: | Full time |
Closing date: | 16 April 2025 |
Location: | Cardiff |
Company: | Government Recruitment Service |
Job type: | Permanent |
Job reference: | 399719/3 |
Summary
Finally, we work in partnership with businesses every day, providing advance, finance and deal-making support to those looking to start up, invest, export and grow. The Digital, Data and Technology (DDaT) directorate develops and operates tools and services to support us in this mission. The team have been nominated three times in a row for ‘Best Public Sector Employer’ at the Women in Tech awards!
Data engineers at the DBT are pivotal to our mission of driving economic growth by placing data at the heart of decision-making. We leverage leading cloud and open-source technology to build scalable, business-critical data pipelines, products and services, ensuring our users—whether within DBT, across government, or the public— have access to the right data in the optimal format.
Our cross-functional, agile teams work collaboratively on a range of projects spanning from internal AI agents, to our data science and analytics platform, to our system for managing the UK Tariff, and beyond. Data engineers also belong to a vibrant community (both within DBT and across government) who share and promote best practice.We are seeking a collaborative problem-solver to join our profession and help deliver more for our users.
You will be confident in using languages like SQL and Python to deliver robust data products and have some experience supporting more junior members of the team.If successful, you’ll get the opportunity to work with a range of technology including:
- Airflow and a range of AWS services to build robust, scalable data pipelines
- Terraform to manage our Postgres backed data platform
Main responsibilities
You will:
- Design, build, and test data products: Develop robust data products by integrating feeds from multiple systems, utilising a variety of storage technologies and access methods.
- Implement resilient and scalable solutions: Select and deploy the most suitable technologies to create data solutions that are resilient, scalable, and future proof.
- Problem-solving expertise: Use your understanding of common issues in databases, data processes, products, and services, and apply standard solutions effectively.
- Stakeholder collaboration: Work closely with a diverse range of stakeholders to understand their requirements, establish project goals, and define deliverables.
- User support and issue resolution: Assist users in utilising data tools, resolve issues promptly, and escalate when necessary.
- Promote best practices: Develop and advocate for best practices within the team.
- Team building and development: Organise initiatives to foster team building and professional development.
- Mentorship and management: Provide line management and support to junior team members, guiding their growth and development.
- Continuous improvement: Stay informed about the latest trends and best practices in data engineering to drive continuous improvement.
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