Hi there! If you’re looking for a high-impact position in an ambitious software house, we’ve got a match for you!

Currently, we are searching for a full-time Software Engineer to cooperate with our US client - BioPharma organization. The mission is to unlock the potential of AI/ML to improve the lives of patients. Our client delivers powerful cloud software and services specifically designed to meet the evolving needs of the BioPharma sector.

You will be an integral part of the hands-on delivery of reliable, scalable data pipelines and datasets that power AI discoverability, analytics, reporting, and workflow automation across scientific, clinical, and enterprise data.

⚠️ Due to the client's location, the team is working till 6:00 PM CEST.

Strong hands-on Python and complex SQL, with production Spark experience on Databricks (Structured Streaming, Auto Loader, Delta Lake, Unity Catalog) to support analytics, AI/ML, and enterprise application use cases.
Practice working with structured and unstructured data across the full lifecycle: ingestion, transformation, enrichment, indexing, and retention, delivered through disciplined engineering practice including infrastructure-as-code, CI/CD, and automated testing of pipelines.
Proven experience ingesting from heterogeneous operational sources including relational (Oracle, PostgreSQL) and document stores (MongoDB), using Full load + CDC or equivalent replication patterns, with practical handling of schema drift, deletes, and late or out-of-order data.
Skills in data modelling across a layered architecture, with clear contracts between raw, curated and serving layers, supporting cross-entity queries and contextual linking, and performant data access patterns.

Nice to have:

Experience building unstructured document pipelines: parsing and extraction from PDF, Office and scanned formats, chunking, embedding generation, and maintaining searchable indexes at scale.

17 openings across locations