About Qualifyze,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 integral 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.
Role Overview:We are looking for aSenior Data Engineerto join our growingProduct & Tech team. Your main goal will be todesign, build, and maintain reliable data pipelinesacross ouroperational databasesandanalytical platform, applyingquality software engineering practicesto everything you ship. This role is well suited for someone withstrong skills in Python and SQL ,solid software engineering fundamentals, hands?on experience buildingproduction data pipelinesin aproduct or platform team, and a passion for managing work across thefull data cycle, fromoperational to analytical systems . Apply and help improve standards fordata modeling ,data quality ,testing, andcode review . Work withProduct ,Engineering, andbusiness stakeholdersto turn requirements intowell-scoped data solutions .



Proficiency inPythonfor data engineering: buildingrobust ETL/ELT pipelinesandreusable modules, withstrong testing(e.pytest) andgood observability . Strong SQL skills with PostgreSQL : complex query design, performance tuning, indexing, and reading execution plans for both OLTP and OLAP workloads.
Hands?on experience with dbt : building, testing, and documenting models, ideally in a layered (e.medallion) project structure.
Experience withDagster(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 : dimensional modeling and an understanding of the trade?Experience withAWS(S3, EKS, Secrets Manager). For this role, we're happy to share a reference point within the band: the expected salary range is around**€ – ** €, centered around the median.
Final compensation will depend on experience and performance during the process, with some flexibility within the range.private health care, fitness and meal allowancesAnnual personal development budget to increase your impactHybrid working mode, plus up to 3 months of the year work from anywhere.

📌 Data Engineer (Madrid)
🏢 Qualifyze
📍 Madrid