At a Glance
- Tasks: Lead data engineering projects and mentor a team to create reliable datasets.
- Company: Join THG, a global leader in beauty and sports nutrition.
- Benefits: Enjoy 25 days leave, enhanced pay, gym access, and discounts on THG brands.
- Other info: Dynamic work environment with opportunities for personal and professional growth.
- Why this job: Shape the future of data engineering and make a real impact.
- Qualifications: Strong Python skills and experience in data architecture required.
The predicted salary is between 66150 - 80850 £ per year.
We are THG, 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.
About 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. We have customer data in multiple places, commercial data that isn’t consistently structured, and operational data that isn’t easy to consume. You will build the engineering foundation that changes that — working to a shared architecture that ensures Customer, Commercial and Operations datasets have consistent standards, shared attributes where appropriate, and can ultimately be joined into a single, reliable view of the business.
You will work closely with Ingenuity, our technology partner, who manage the foundational platform and first‑layer pipelines. Your job is to take what Ingenuity provides and shape it into the structured, high‑quality domain datasets that analytics and data science teams can confidently build on. You will also be a key partner to the Data Governance Lead, implementing the standards they define within your engineering practice.
What you’ll do:
- 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
- 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
What’s in it for me?
- Access bespoke development programmes that have been designed and developed by our in‑house L’D team.
- Continued development through our upskilling programme that is delivered in partnership with an industry-leading training provider.
- Enhanced Leave: 25 days annual leave plus bank holidays. Don’t want to work on your birthday? We don’t either! Enjoy your day off on us!
- Enhanced maternity and paternity pay, depending on length of service.
- Up to 10 days compassionate leave. Buy back up to 3 days each year.
- Access face‑to‑face and virtual appointments with our in‑house GP.
- Access our 247 Employee Assistance Programme (EAP) which is provided by Bupa.
- State‑of‑the‑art on‑site gym.
- Access to our on‑site physio.
Other Perks:
- Save up to 12% on the cost of personal tech through our salary sacrifice scheme.
- Subsidised bus pass from Manchester City Centre to our ICON office.
- Up to 50% staff discount on THG brands.
- On‑site staff shop.
- Know someone who would be perfect for THG? Refer them and get up to £1000 when they pass their probation.
- Anniversary gifts when you hit 5 and 10 years of service.
EEO Statement: THG is proud to be a Disability Confident and Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability. THG is committed to creating a diverse
Data Engineering Lead employer: The Hut Group
The Hut Group is an exceptional employer, offering a dynamic work culture that fosters creativity and collaboration. With a strong focus on employee growth, we provide ample opportunities for professional development and career advancement, all while being part of a vibrant team dedicated to driving success in the retail media landscape. Located in a thriving environment, our employees enjoy unique advantages such as flexible working arrangements and a commitment to work-life balance.
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We think this is how you could land Data Engineering Lead
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We think you need these skills to ace Data Engineering Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at The Hut Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The Hut Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at The Hut Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The Hut Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
