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Senior Data Engineer (Databricks & Cloud Data Platforms)
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AI Summary
Build and deploy production-ready ML solutions for fitness SaaS platforms, focusing on classical ML and statistical methods. Own end-to-end ML projects, including data pipelines, modeling, deployment, and monitoring. Collaborate with engineers and product managers to solve business problems with ML/AI.
Key Highlights
End-to-end ownership of ML projects from data pipelines to deployment and monitoring
Collaboration with engineers and product managers to solve business problems with ML/AI
Focus on classical ML and statistical methods for production-ready solutions
Key Responsibilities
Build and deploy production-ready ML solutions
Own ML projects end-to-end (data pipelines, modeling, deployment, monitoring)
Collaborate with engineers and product managers to solve business problems with ML/AI
Improve scalability and reliability of ML data pipelines
Identify opportunities for ML and GenAI to solve product/business problems
Work with platform and LLM Ops teams for infrastructure support
Help shape ML and AI roadmap
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Technical Skills Required
Benefits & Perks
Private medical care
Sports card
Access to Udemy Business
Flexible work model (fully remote or hybrid)
Flexible working hours
Team-building activities and company events
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Nice to Have
Experience with AWS, Terraform, or dbt
Experience working with LLMs or GenAI-based solutions
German language skills
Job Description
Join Sport Alliance’s Data Products team and build ML solutions for Magicline and PerfectGym Next, used by thousands of fitness businesses and millions of members.
You’ll work closely with engineers and product managers to take ML use cases from idea to production, with plenty of ownership and the opportunity to shape how we use ML and AI across our products.
Your position in our team:
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