At a Glance
- Tasks: Build and scale data pipelines to drive innovation and customer impact.
- Company: Join Gymshark, a leading fitness brand focused on community and data-driven decisions.
- Benefits: Enjoy competitive pay, healthcare, 25 days holiday, and Gymshark discounts.
- Other info: Hybrid role with excellent career growth and a commitment to inclusivity.
- Why this job: Shape the future of data in a fast-paced, innovative environment.
- 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 employer: Gymshark
At Gymshark, we pride ourselves on being an exceptional employer that values data-driven innovation and community. Our hybrid work culture in Solihull fosters collaboration and inclusivity, while our comprehensive benefits package, including performance bonuses, funded healthcare, and generous holiday allowances, ensures our employees feel supported both personally and professionally. With a strong focus on employee growth and well-being, Gymshark is dedicated to creating a workplace where everyone can thrive and contribute to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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
Show off your skills! If you’ve got a portfolio of projects or GitHub repositories, make sure to highlight them during interviews. This is your chance to demonstrate your expertise in Python, SQL, and data pipelines.
✨Tip Number 3
Prepare for those technical questions! Brush up on your data engineering concepts and be ready to discuss how you’ve tackled challenges in the past. We want to see your problem-solving skills in action!
✨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 genuinely interested in joining the Gymshark family.
We think you need these skills to ace Data Engineer
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 with ETL processes and data quality will set you apart.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of success. It’s the easiest way for us to see your application and get you into the process. Plus, you’ll be one step closer to joining the Gymshark family!
How to prepare for a job interview at Gymshark
✨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. Prepare examples of how you've improved data quality or optimised existing pipelines in your previous roles.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to tackle some technical challenges or case studies. Think about how you approach problem-solving and be ready to explain your thought process. This will demonstrate your analytical skills and ability to work under pressure.
✨Understand Gymshark's Data Ecosystem
Familiarise yourself with Gymshark’s mission and how they use data to drive decisions. Research their data platforms and integrations. Showing that you understand their business model and how data plays a role will set you apart from other candidates.
✨Emphasise Collaboration and Communication
As a Data Engineer, you'll need to work closely with various teams. Be ready to discuss your experience collaborating with software engineers, analysts, and other stakeholders. Highlight any successful projects where teamwork was key to achieving results.
