At a Glance
- Tasks: Lead a team to build and optimise data pipelines for impactful analytics.
- Company: Join THG, a global leader in beauty and sports nutrition ecommerce.
- Benefits: Career development, bespoke training, and a vibrant work culture.
- Other info: Dynamic environment with opportunities for growth and collaboration.
- Why this job: Shape the future of data engineering and drive innovation at scale.
- Qualifications: Strong Python skills and experience in data architecture and mentoring.
The predicted salary is between 80000 - 100000 £ per year.
About THG
THG is a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition. Our portfolio of leading retailers and brands such as LOOKFANTASTIC, Myprotein, ESPA, Perricone MD, and Cult Beauty form our two core businesses: THG Beauty and THG Nutrition. From Manchester to New York, we’re powered by a team of over 2500 people who work together, lead by example, and think BIG. With us, you’ll go further, faster. What are you waiting for?
Location: Icon 1, WA15 0AF
Central Functions
Central Functions is formed of the teams and people that serve the entire business. These people are integral to the smooth running of the business; ensuring everyone is paid on time, that materials are sourced and arrive promptly, that we meet our legal obligations and that our health, safety, and security is safeguarded.
Why be the Data Engineering Lead at THG?
THG is building the data engineering capability that will underpin everything from daily trading analytics to AI‑driven personalisation. As Engineering Lead, you will own the technical vision and delivery for how THG structures, stores and distributes its data across three core domains: Customer, Commercial and Operations. This is a hands‑on technical leadership role. You will be managing and mentoring a team of six engineers (three Senior, three mid‑level, each domain‑aligned), but you are also expected to be technically deep — setting architecture standards, making key design decisions, and being the person the team turns to when problems are hard. Your primary mission is to move THG from a fragmented, siloed data landscape towards consistent, joined‑up domain datasets that can be trusted and used at scale.
Responsibilities
- Technical Leadership
- You must have built and operated production data pipelines on this stack
- Strong Python skills — used daily for pipeline development, data transformation and automation
- Experience across at least two of the three core data domains: Customer, Commercial and Operations
- A track record of evolving data architecture — you can demonstrate concrete examples of how you changed the way a business structures, stores or consumes its data
- Deep understanding of data modelling, pipeline design and distributed data architecture
- Experience with Dataform or dbt for data transformation
- Demonstrated use of AI in data engineering — AI‑assisted pipeline development, automated quality checks, or similar practical applications
- Experience mentoring and developing engineers
Desirable
- Experience building towards a Customer Data Platform (CDP) or equivalent customer data consolidation project
- Familiarity with data governance principles and working alongside a governance function
- E‑commerce or retail background
- Experience with streaming or real‑time data pipelines
Benefits
Career Development
Access bespoke development programmes that have been designed and developed by our in‑house L
