Data Engineering Lead

As Data Engineering Lead at THG, you will own the technical vision for how data is ingested, transformed and served across Customer, Commercial and Operations. You’ll lead a six-engineer team and work closely with Ingenuity to build domain datasets that can be trusted at scale. You’ll drive architecture, standards, and AI-enabled improvements to create a single, reliable view of the business. This role blends hands-on engineering with strategic leadership to enable data-driven decision making and analytics at THG.

• 25 days annual leave plus bank holidays
• Enhanced maternity and paternity pay
• On-site gym
• Employee Assistance Programme (EAP) with Bupa
• On-site dentist (subsidised)
• Staff discount up to 50% on THG brands

• Define and own the data engineering architecture across three domains
• Set consistent standards and enable cross-domain data joins
• Lead migrations and modernization of the BigQuery/GCP platform
• Enforce engineering practices: version control, testing, error handling, documentation
• Build structured, reliable domain datasets for analytics, data science, and BI
• Collaborate with Ingenuity to shape platform inputs and integrate data feeds
• Partner with Data Governance to implement standards in engineering practice
• Manage and coach a team of six engineers and drive career progression
• Foster engineering excellence and continuous improvement

• Hands-on expert BigQuery and GCP experience with production pipelines
• Strong Python skills for pipeline development and automation
• Experience across at least two of Customer, Commercial, Operations domains
• Proven track record evolving data architecture for storage and consumption
• Deep data modelling, pipeline design, and distributed architecture
• Experience with Dataform or dbt for data transformation
• Demonstrated use of AI in data engineering and automated quality checks
• Experience mentoring engineers

• leadership
• team mentoring
• collaboration
• BigQuery
• GCP
• Python