Senior Data Engineer / Data Scientist - AI & Machine Learning - €130,000
A growing AI-first HealthTech company in the Frankfurt Rhine-Main region is hiring a Senior Data Engineer / Data Scientist.
This is a senior hands-on role focused on building scalable data platforms, production-grade AI systems, and the infrastructure behind a live healthcare platform used every day in real-world therapeutic environments.
You should be comfortable building and operating reliable cloud-based data systems while also understanding how machine learning and AI solutions are deployed, monitored, and maintained in production environments.
Working closely with AI, engineering and product teams, you’ll help evolve the data platform, productionise machine learning and Generative AI solutions, and ensure data is transformed into insights that directly influence product and clinical decision-making.
Why join?
* Meaningful AI impact in pediatric HealthTech
* Live production platform with real-world usage
* High ownership and visibility in a 30-person company
* Hybrid setup in the Frankfurt Rhine-Main region
* Bonus, stock options, 30 days holiday and strong benefits package
What you’ll bring:
* 5+ years’ experience in Data Engineering, Data Science or Machine Learning Engineering
* Experience deploying, operating or supporting machine learning and AI systems in production environments
* Experience owning systems in production and thinking beyond model development towards reliability, scalability, monitoring and long-term maintainability
* Strong background building and operating cloud-based data pipelines and data platforms
* Experience working in product-led environments where reliability, scalability and long-term maintainability were critical
If you’re a technically strong Data Engineer who is comfortable with data science and AI topics and wants ownership and genuine impact, let’s talk. Apply now to avoid missing out.
Keywords: Senior Data Engineer, Data Platform Engineer, Machine Learning Engineer, AI Engineer, Data Scientist, Python, SQL, BigQuery, GCP, AWS, Azure, ETL, Data Pipelines, Production Systems, MLOps, Machine Learning, Generative AI, HealthTech