At a Glance
- Tasks: Build and scale data pipelines to drive innovation and customer impact.
- Company: Join Gymshark, a leading brand where data fuels growth.
- Benefits: Enjoy competitive perks like healthcare, holidays, and Gymshark discounts.
- Other info: Hybrid role with excellent career growth and a focus on inclusivity.
- Why this job: Make a real difference in a fast-paced environment with cutting-edge data practices.
- Qualifications: 2+ years in data engineering with strong Python and SQL skills.
The predicted salary is between 45000 - 55000 £ per year.
At Gymshark, data is at the core of how we move - from powering decisions to unlocking better experiences for our community. We’re looking for a Data Engineer to help build and scale the foundations that drive our data ecosystem. This is an opportunity to work on modern, event-driven data platforms, enabling teams across the business to access high‑quality, reliable data that fuels growth, innovation, and customer impact. You’ll play a key role in shaping how we structure, transform, and deliver data - building resilient pipelines, improving data quality, and collaborating across engineering, analytics, and business teams to drive real value.
What you’ll be doing:
- Build and maintain scalable, automated, event‑driven data pipelines and data models
- Design and implement ETL/ELT processes, ensuring data is clean, accurate, and accessible
- Manage data integrations, imports/exports, and audience segmentation across platforms
- Monitor and optimise existing data pipelines, ensuring performance and reliability
- Collaborate with Software Engineering, Systems teams, and Data Governance to improve data quality and reduce technical debt
- Work with third‑party partners and platforms to enhance data capabilities
- Take ownership of data governance and privacy best practices, ensuring compliance and responsible usage
- Support the business by ensuring teams have access to accurate, usable data to drive decisions
What you’ll need:
Essential Criteria:
- Proven experience in data engineering and modern development practices (2+ years)
- Strong expertise in Python, SQL, and relational databases (RDBMS)
- Experience building and maintaining data pipelines, ETL/ELT processes, and data models
- Knowledge of cloud‑based data platforms and integrations
- Strong understanding of data quality, testing, and documentation
- Excellent problem‑solving and stakeholder management skills
- Ability to work in a fast‑paced environment and deliver to deadlines
Nice to have:
- Experience in e‑commerce or retail environments
- Curiosity to learn new tools and stay up to date with emerging data practices
Location: Please note this is a hybrid role and requires the successful candidate to attend at least 3 days a week in GSIQ, Solihull, UK.
Belonging at Gymshark: Our mission is to be a place where everyone belongs. We’re an equal opportunities employer, and for us that means we always strive to be as inclusive as possible in all aspects of employment, right from your application. We’re committed to finding reasonable adjustments for candidates with specific needs or have a disability during our recruitment process, and all applicants will be considered fairly and equally. We do not tolerate discrimination of any kind. If you’d like to request a reasonable adjustment please email talent@gymshark.com.
The perks:
- Performance‑based Bonus opportunity
- Funded Healthcare benefit
- 25 days holiday, additional day for your birthday & Bank Holidays
- Contributory Employer pension scheme
- Flexible benefits programme – including salary sacrifice EV scheme, dental insurance, cycle to work, tech scheme, holiday trading
- Gymshark Employee Discount & long service awards
- Access to High Street cashback and discounts
- Financial, Physical and Mental Wellbeing Support
- Enhanced Family Leave package
- Life Assurance
- Office location specific benefits (IQ): Gym Membership to The Lifting Club (LC), Onsite lunch provision & coffee bars
- Office location specific benefits (LDN): Funded multi‑site fitness membership
Data Engineer New Solihull, England, United Kingdom employer: Gymshark Ltd
At Gymshark, we pride ourselves on being an exceptional employer that champions inclusivity and employee growth. Our Solihull location offers a vibrant work culture with access to modern facilities, including gym memberships and onsite lunch provisions, while our comprehensive benefits package ensures that our team members are supported both personally and professionally. Join us to be part of a dynamic environment where your contributions directly impact our community and drive innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer New Solihull, England, United Kingdom
✨Tip Number 1
Network like a pro! Reach out to current or former Gymshark employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss your past projects and how you've tackled data challenges. We want to see your problem-solving skills in action!
✨Tip Number 3
Show your passion for data! During interviews, share your thoughts on emerging data practices and tools. This will demonstrate your curiosity and commitment to staying ahead in the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Gymshark team.
We think you need these skills to ace Data Engineer New Solihull, England, United Kingdom
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role at Gymshark. Highlight your experience with Python, SQL, and data pipelines, and don’t forget to mention any relevant projects that showcase your skills in building scalable data solutions.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background aligns with Gymshark’s mission. Be sure to mention your problem-solving skills and your ability to work collaboratively across teams.
Showcase Your Projects:If you’ve worked on any cool data projects, make sure to include them in your application. Whether it’s a personal project or something from a previous job, demonstrating your hands-on experience can really set you apart from other candidates.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of success. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Gymshark Ltd
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially in Python and SQL. Be ready to discuss your experience with building data pipelines and ETL/ELT processes. Having specific examples from your past work will show that you can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles and how you overcame them. Gymshark values problem-solving abilities, so think of scenarios where you improved data quality or optimised existing pipelines. This will demonstrate your critical thinking and adaptability.
✨Understand the Business Impact
Familiarise yourself with how data drives decisions at Gymshark. Be ready to explain how your work as a Data Engineer can enhance customer experiences and support business growth. Showing that you understand the bigger picture will set you apart from other candidates.
✨Be Ready to Collaborate
Since the role involves working with various teams, prepare to discuss your experience in cross-functional collaboration. Think of examples where you worked with software engineers or analytics teams to improve data governance or reduce technical debt. Highlighting your teamwork skills will resonate well with the interviewers.
