We're hiring on behalf of a Haystack partner!
The Role
- 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.
What You'll Need
- 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.
What's On Offer
- 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!
