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Data Platform Engineer

Pay
€3,500–5,500/month · Gross — pay source
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.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Build batch and streaming pipelines in Databricks

  • Migrate legacy pipelines to a modern Databricks platform

  • Optimize performance, cost, governance, and reliability

  • Support designing data models consumed in Power BI

  • Automate day-to-day work using AI

From the employer’s posting
build batch and streaming pipelines in Databricks
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
automate day-to-day work by leveraging the power of AI

What you’ll bring

All qualifications

Core experience

  • Strong skills in SQL, PySpark, and Python
  • Experience building data pipelines (e.g. with Azure Data Factory)
  • Understanding of batch vs. streaming data processing
  • Awareness of data quality, governance, and scalability
Qualification wording
Strong skills in SQL, PySpark, and Python
Experience building data pipelines (e.g. with Azure Data Factory)
Understanding of batch vs. streaming data processing
Awareness of data quality, governance, and scalability

About Basicfit

Basic-Fit is Europe's leader in the value-for-money fitness market, with more than 4.7 million members across 1,650+ clubs in 6 countries.

In the employer’s words · Read in context

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Posting record

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Status in our records
Live
First seen by us
Sep 30, 202634 days ago
Recorded sightings
86
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 34

Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Basicfit is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • Databricks
  • Power BI
  • PySpark
Where the posting names them
- Understanding of batch vs. streaming data processing - Strong skills in SQL, PySpark, and Python - Experience building data pipelines (e.g. with Azure Data Factory)
- Strong skills in SQL, PySpark, and Python - Experience building data pipelines (e.g. with Azure Data Factory) - Awareness of data quality, governance, and scalability
In a typical week, you might: - build batch and streaming pipelines in Databricks - continuously improving Databricks, keeping up with the latest technologies
- 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
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
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.)
- Hands-on experience with Databricks (around 1+ year) - Curiosity about newest Databricks features (dashboards, apps etc.) - Understanding of batch vs. streaming data processing
- optimize performance, cost, governance, and reliability - support designing data models that are directly consumed in Power BI Where you can make an impact
- Comfortable communicating in English - Experience with PowerBI or any other reporting tool is a plus What We Offer You

Your next step

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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 Europe's leader in the value-for-money fitness market, with more than 4.7 million members across 1,650+ clubs in 6 countries. We are continuously growing and improving. If you're looking for a place where you can make an impact while having fun at work, you've come to the right place!


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 yara.vanbodegom@basic-fit.com.

 

#LI-KV1

 

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Pay
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.
Location & working pattern

Hoofddorp

- 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.
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