We're hiring on behalf of a Haystack partner!

Design and operate data pipelines that power critical data services, transforming curated drug, prescription, and clinical reference data into reliable, up-to-date, and performant datasets for SaaS products and partners.
Build and maintain robust ETL/ELT pipelines using Python with FastAPI services, and Apache Spark/Scala workloads, with a strong focus on data quality, lineage, observability, and cost optimization.
Collaborate closely with Product Management, AI Engineers, and Architects to design Data Products that enable new AI-native features and partner integrations.
Utilize AI tools and agents to significantly accelerate the development of pipelines, schema migrations, and analyses, while building reusable data engineering skills and workflows.
Apply rigorous engineering principles to the data world, including automated testing, CI/CD, observability, stringent schema management, and clear ownership of pipelines and services.

Several years of senior-level experience in Data Engineering with Python, demonstrating a proven track record of operating production data pipelines in regulated or business-critical environments.
A completed degree in Computer Science, Data Engineering, Mathematics, Physics, or a comparable technical field with excellent academic performance.
Strong SQL skills and experience with at least one modern data stack (e.g., Airflow, dbt, Spark/PySpark, Kafka) and cloud data platforms, ideally AWS, including Infrastructure-as-Code with Terraform and GitOps/ArgoCD.
Proven effective use of AI in software and data engineering, ideally with AI coding assistants or similar agentic tools, and experience in designing AI pipelines, harnesses, and context engineering.
Fluency in both German and English, strong problem-solving abilities, a passion for innovation, high proactivity, and an entrepreneurial mindset aligned with the healthcare purpose and responsibility for patient safety.

Competitive salary
Flexible work arrangements allowing for a hybrid work model.
Opportunities for professional development through an in-house academy and external partnerships.
Access to wellness facilities, including a company canteen with healthy meal options and a fully equipped fitness studio.

Apply via Haystack today!

Data Engineer

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