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Basic-Fit is building a central Data Platform Team to shape the data landscape used across operations, marketing, finance, and more. As a Senior Data Platform Engineer, you’ll design scalable pipelines, co-own architectural standards, and migrate legacy pipelines to a modern Databricks platform.
You will drive performance, governance, and cost optimisation while mentoring engineers and collaborating with analysts, BI developers, and data scientists. Hybrid work setup with growth opportunities.
You don’t want to just build pipelines.
You want to help set the direction and raise the bar together with your team.
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.
You’ll join the central Data Platform Team and play a key role in the foundation of Basic-Fit’s data landscape, helping set the direction while also building it hands-on.
In a typical week, you might:
design and build scalable batch and streaming pipelines in Databricks
co-own architectural decisions and help set standards for engineering, CI/CD and platform best practices
take a driving role in the migration of legacy pipelines to a modern Databricks platform
drive performance, cost, governance, and reliability across the platform
evaluate and introduce new Databricks capabilities (Lakeflow Connect, Databricks Apps, dashboards) and take them from idea to production
use AI and agents to automate engineering work and improve data quality
share your knowledge with medior and junior engineers through code reviews and pairing
Good ideas don’t stay in slide decks here - they get built, and you’ll help build them.
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. As a senior, you’ll be a go-to person for colleagues and stakeholders, while working side by side with the rest of the team.
You don’t need to tick every box. You will thrive here if most of this sounds familiar:
3+ years of hands-on Databricks experience in production
Strong SQL, PySpark and Python, with a track record of clean, tested, maintainable code
Experience building and running production pipelines, both batch and streaming (e.g. Lakeflow/Delta Live Tables, Structured Streaming, Azure Data Factory)
Experience with CI/CD and infrastructure as code (e.g. Azure DevOps, Terraform, Databricks Asset Bundles)
Solid knowledge of data modelling, governance, security and cost optimisation on a cloud data platform
Experience contributing to architectural decisions or migrations, and explaining trade-offs to technical and non-technical colleagues
Excellent communication skills in English
Bonus points: experience applying AI and LLMs to data engineering, keeping up with new Databricks features, mentoring other engineers, and Power BI or another reporting tool.
At Basic-Fit, it’s not just about work, it’s about your growth. As a Senior 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:
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!