Founded in ****, Qualifyze is a leading company in supply chain compliance management in the Life Sciences industry, trusted by over 1,500 pharmaceutical and healthcare companies globally. Our digital suite of solutions connects manufacturers, suppliers, and a general network of more than 250 auditors and quality experts. With a track record of over 4,500 audits across 85+ countries and the largest and most accurate supplier network and data analytics tools, Qualifyze stands as the all-in-one partner for quality compliance and supply chain risk mitigation in the Life Sciences sector. Senior Data Engineer data platform , data products design, build, and maintain reliable data pipelines operational databases quality software engineering practices backend engineers , accurate, timely data strong skills in Python and SQL , solid software engineering fundamentals , production data pipelines full data cycle , scalable, reliable, and well-tested data pipelines data products . operational databases data platform data modeling , data quality , testing , well-scoped data solutions . Python for data engineering: building robust ETL/ELT pipelines strong testing (pytest)



and Strong SQL skills with PostgreSQL : complex query design, performance tuning, indexing, and reading execution plans for both OLTP and OLAP workloads. building, testing, and documenting models, ideally in a layered (e.g., medallion) project structure. or similar orchestrators such as Airflow): building assets/jobs, scheduling, monitoring, and handling failures in production workflows. Working knowledge of Docker and Kubernetes : packaging and running data services and batch jobs in production. Solid grasp of data modeling : AWS (S3, EKS, Secrets Manager). database schema migration tools (data contracts . For this role, we're happy to share a reference point within the band: the expected salary range is around **€ – ** € , Final compensation will depend on experience and performance during the process, with some flexibility within the range. Annual personal development budget to increase your impact Hybrid working mode, plus up to 3 months of the year work from anywhere.

📌 Data Engineer (Barcelona)
🏢 Qualifyze
📍 Barcelona