Data Engineer (Mid Level) £45,000–£55,000
Remote (1-2 days per month London, Leeds or Preston)
Tech Stack: GCP (BigQuery, Dataflow), DBT, Terraform, Airflow (Composer), Python, SQL
VIQU are working with a growing, data-driven organisation they are building out a modern Data Platform following a successful migration from on-premise to Google Cloud. Sitting within a well-established Data Office, the team is now 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, working with modern tooling and contributing to the end-to-end delivery of data products.
Key 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 stakeholder
Key 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
Apply now to speak with VIQU IT in confidence. Or reach out to Noah Yeoman via the VIQU IT website.
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