At a Glance
- Tasks: Build and maintain data pipelines, transforming and loading data into structured datasets.
- Company: Join THG, a global leader in beauty and sports nutrition with a vibrant team culture.
- Benefits: Enjoy 25 days annual leave, enhanced pay, gym access, and exclusive discounts.
- Other info: Dynamic environment with bespoke development programmes and excellent career growth opportunities.
- Why this job: Kickstart your career in data engineering and tackle real-world challenges with cutting-edge tech.
- Qualifications: Solid SQL skills, Python knowledge, and a passion for data engineering required.
The predicted salary is between 30000 - 40000 £ 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 a Data Engineer at THG? THG is building the engineering capability that will sit beneath every analytics, data science and AI initiative across the business. As a Data Engineer within our Engineering & Governance pillar, you will work within one of three domain-aligned engineering teams — Customer, Commercial or Operations — helping to build and evolve the structured domain datasets that the business depends on. This is an early-career role with real responsibility. You will be working alongside a Senior Data Engineer and Engineering Lead on some of THG's most important data challenges: consolidating fragmented data sources, building reliable pipelines, and moving the business towards a consistent, trustworthy foundation for how we manage our data. We are not looking for someone who has done this all before — we are looking for someone technically capable, curious, and genuinely motivated by the craft of data engineering. If you want to build things that matter and develop quickly in a fast-moving environment, this is the right role.
What you'll do:
- Build and maintain data pipelines within your domain — extracting, transforming and loading data from source systems into structured domain datasets in BigQuery.
- Work to the architectural patterns and standards set by the Engineering Lead — applying consistent approaches to how data is ingested, transformed and stored.
- Support the migration of existing pipelines from legacy on-prem SQL Server infrastructure to BigQuery and Dataform.
- Apply version control (Git) as standard practice — all code is reviewed, documented and maintained properly.
Domain Dataset Development:
- Contribute to the build-out of your aligned domain dataset — helping to consolidate disparate data sources into a structured, reliable and well-documented data asset.
- In the Customer domain: working towards the foundations of a unified customer dataset, bringing together data from multiple source systems into a consistent, queryable structure.
- In Commercial: building and maintaining the datasets that power category, brand and trading analytics — ensuring consistency in how commercial data is structured and stored.
- In Operations: developing the data pipelines and structures that support supply chain, logistics and fulfilment analytics.
- Identify and flag data quality issues within your domain — working with the Data Governance Lead on standards and resolution.
- Work closely with your Senior Data Engineer and the Engineering Lead — asking questions, learning fast and contributing to the team's technical decisions.
- Engage with analytics and data science teams who consume your domain's data — understanding their requirements and ensuring what you build is useful.
- Participate in code reviews — both having your work reviewed and, as you develop, reviewing others.
- Use AI tools effectively to accelerate your development work — we expect AI-assisted coding and pipeline development to be part of how the team works.
What skills and experience do I need for this role?
- Solid SQL skills — able to write intermediate to advanced queries and comfortable working with relational databases.
- Python — working knowledge sufficient for data manipulation, scripting and pipeline development.
- A genuine passion for data engineering — you find the challenge of getting data right genuinely interesting.
- Attention to detail and a methodical approach — data engineering is unforgiving of sloppiness.
- Eagerness to learn — this role will develop quickly and we want someone who grabs that opportunity.
- Exposure to BigQuery, Dataform or equivalent cloud data tools.
- Familiarity with version control (Git).
- Experience with or understanding of data pipeline design patterns.
- Degree in Computer Science, Mathematics, Engineering or a related discipline.
- Any experience applying AI tools in a technical context.
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.
THG is proud to be a Disability Confident 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 & inclusive environment and hence welcomes applications from all sections of the community.
Data Engineer New UK, Manchester employer: The Hut Group
At THG, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Engineer in our Manchester office, you'll benefit from bespoke development programmes, enhanced leave options, and access to state-of-the-art facilities, all while working alongside a talented team dedicated to pushing the boundaries of data engineering. With a commitment to employee growth and a supportive environment, THG is the perfect place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer New UK, Manchester
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like The Hut Group when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like The Hut Group.
✨Networking Through University Career Services
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✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through The Hut Group’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Data Engineer New UK, Manchester
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at The Hut Group, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at The Hut Group aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at The Hut Group
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
