Data Engineer 12 month FTC

In this role you'll take ownership of the organisation's data warehouse, ensuring reliable data flows, resolving issues, and recommending improvements across the wider data ecosystem.

You'll work closely with digital, product, and analytics teams to support ongoing business operations while contributing ideas to shape the future-state data platform.

This is a great opportunity for a hands-on Data Engineer who enjoys both maintenance and innovation, and who thrives in customer-focussed, commercially minded environments., * Manage and maintain the central data warehouse and associated pipelines.

• Ensure data quality and availability across customer, sales, and operational datasets.
• Support the onboarding and ingestion of third-party vendor data (e.g. Google Analytics).
• Troubleshoot and resolve data flow issues in a timely manner.
• Collaborate with analytics teams to improve data models and warehouse design.
• Contribute to ongoing system-merging and integration projects.
• Maintain infrastructure and IaC using Terraform, Docker, CI/CD pipelines.
• Work within an Azure-based environment (preferred).
• Provide input into best practices across the data function and help "keep the lights on."

Tech Stack

• Core: Python, SQL, Airflow, dbt, Terraform, CI/CD, Power BI
• Nice to have: Kimball methodology
• Cloud: Azure (preferred)

• 2-4 years' experience in a Data Engineering role.
• Strong SQL and Python skills with experience in modern data pipelines.
• Experience working in customer-orientated industries (hospitality, retail, utilities) beneficial but not essential.
• Comfortable working in fast-moving environments with ambiguity.
• Open to candidates from all educational backgrounds.