Data Platform Engineer

Build the data platform behind millions of workouts  

You don’t want to just build pipelines.  

You want your work to be used, trusted, and visible.  

You want to see decisions being made because of what you built.  

At Basic-Fit, your data solutions support millions of members across Europe. What you design today will be used tomorrow by teams in operations, marketing, finance, and beyond.  

This Is What Your Role Looks Like 

You’ll join the central Data Platform Team, working on the foundation of Basic-Fit’s data landscape.  

In a typical week, you might:  

• build batch and streaming pipelines in Databricks  

• continuously improving Databricks, keeping up with the latest technologies  

• collaborate with analysts to improve self-service reporting  

• automate day-to-day work by leveraging the power of AI 

• migrate legacy pipelines to a modern Databricks platform  

• optimize performance, cost, governance, and reliability  

• support designing data models that are directly consumed in Power BI  

Where you can make an impact  

This is not a “keep-the-lights-on” role. You’ll actively shape:  

• scalable data architecture (Lakeflow Connect, Databricks Apps etc.)  

• AI and automation to improve data quality and usability  

• self-service analytics across the business  

• the future direction of our data platform  

Good ideas don’t stay in slide decks here - they get built.  

The team you’ll work with  

You’ll be part of a multidisciplinary Data Platform Team with:  

• Data Platform Engineers  

• Analysts  

• BI Developers  

• Data Scientists  

Together, you support almost every department at Basic-Fit, enabling teams to act on reliable, well-governed data.  

Who Are You?

You don’t need to tick every box. You will thrive here if most of this sounds familiar:  

• Hands-on experience with Databricks (around 1+ year)  

• Curiosity about newest Databricks features (dashboards, apps etc.) 

• Understanding of batch vs. streaming data processing  

• Strong skills in SQL, PySpark, and Python  

• Experience building data pipelines (e.g. with Azure Data Factory)  

• Awareness of data quality, governance, and scalability  

• Experience and curiosity towards AI and building agents 

• Comfortable communicating in English  

• Experience with PowerBI or any other reporting tool is a plus 

What We Offer You

At Basic-Fit, it’s not just about work, it’s about your growth. As a Data Platform Engineer, you’ll have the freedom to make an impact and develop yourself in a dynamic environment.

What you can expect from us:

• Ownership & Influence: you help shape the core data platform  
• Learning & Development: Unlimited access to GoodHabitz and LinkedIn Learning.
• Career Growth: Plenty of opportunities for professional and personal development.
• Work Culture: An informal, international, and down-to-earth environment. We value working together, so we work 4 days in the office, 1 day from home.
• Innovation: Your ideas contribute to strategic projects.
• Salary: A monthly gross salary between €3500 and €5500 based on 40 hours, depending on your experience and background.
• Perks & Benefits: Travel allowance, bike plan, health insurance discounts and remote work allowance.
• Fitness: Access to our gym at HQ.

About Basic-Fit

Basic-Fit is the European leader in the value-for-money fitness market, with more than 5 million members in 2.000+ clubs across 7 countries. We continue to grow and constantly improve. Are you looking for a place where you can make an impact and enjoy your work? Then you've come to the right place with us!

What Makes Us Unique?

• Work with Impact: What you do makes a difference. We don’t just work for our members, partners, and teams—we work with them.

• Collaboration: Everyone works together to achieve goals and celebrate success.

• Diversity & Inclusion: We welcome everyone into our workplace.

🎯 Apply Now!
Ready for your next adventure? Click the Apply button, and we’ll get in touch with you as soon as possible.

Questions? Feel free to contact Yara at [email protected].

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