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Looking for a role where you can take ownership of a modern cloud data warehouse, optimise pipelines, and make data more scalable, reliable, and cost-effective?
THE COMPANY:
I'm working with a global retail & e-commerce brand that's expanding rapidly across the UK. With a growing digital and physical presence, their central data team plays a key role in powering insights across e-commerce, retail, finance, and marketing.
THE ROLE:
This is a hands-on data engineering role where you'll focus on building, optimising, and scaling pipelines into BigQuery (GCP) from a wide range of sources. You'll work closely with BI developers and analysts to ensure clean, reliable data is available for reporting and decision-making.
* Manage and optimise pipelines from ERP, website, APIs, app stores, social media, and more.
* Work with BigQuery, Google Buckets, Python scripts, and Talend (transitioning to Dataform/Cloud workflows).
* Support migrations between GCP projects and ensure the warehouse is scalable and cost-efficient.
* Partner with BI teams to prepare and transform data for reporting in Power BI and Looker.
YOUR SKILLS AND EXPERIENCE:
A successful Data Engineer will have the following skills and experience:
* Strong hands-on experience with BigQuery & GCP (essential).
* Solid SQL skills, with a focus on optimisation and performance tuning.
* Experience working with APIs and data pipelines.
* Python for automation and bespoke data jobs.
* Knowledge of BI tools (Power BI / Looker) - good to have for connecting and enabling reporting.
THE BENEFITS:
You will receive a salary up to £65,000 depending on experience, plus a competitive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
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