Mid-Level Data Engineer

Salary: £45,000 - 55,000 per year

Requirements

• 3–5 years experience in Data Engineering, with strong exposure to ETL/ELT pipelines
• Strong SQL and Python skills, with hands-on experience building data pipelines
• Experience with DBT, Terraform, and version control (Git)
• Exposure to Airflow (or similar orchestration tools), Docker, and CI/CD practices
• Cloud experience in GCP (BigQuery preferred) or Azure/AWS environments
• Understanding of modern data concepts including Data Mesh, Agile delivery, and test-driven development
• Strong problem-solving skills with the ability to work independently and within a collaborative team

Responsibilities

• Design, build, and maintain scalable data pipelines and data products using modern ELT principles
• Work closely with product managers, architects, and engineers to deliver data solutions aligned to business needs
• Contribute across the full data product lifecycle, from design and development through to deployment and optimisation
• Ensure high-quality, well-documented code and maintain strong engineering standards
• Support CI/CD processes, environment management, and deployment pipelines
• Translate technical challenges into clear, structured solutions for both technical and non-technical stakeholders

Technologies

• Airflow
• AWS
• Azure
• BigQuery
• CI/CD
• Cloud
• Docker
• ETL
• GCP
• Git
• Support
• Python
• SQL
• Terraform
• dbt
• Composer

More

We are a growing, data-driven organization that is building out a modern Data Platform following a successful migration from on-premise to Google Cloud. Our well-established Data Office is focused on developing a scalable Data Mesh architecture. This is a strong opportunity for a mid-level Data Engineer to join a collaborative, product-led environment in which you will work with modern tooling and contribute to the end-to-end delivery of data products. This role is remote with the expectation to be in London, Leeds, or Preston 1-2 days per month.

last updated 16 week of 2026