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 life cycle, 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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