Mid Level Data Engineer

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.

Do you know someone great? We'll thank you with up to £1,000 if your referral is successful (terms apply).

• 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