Job description Context Collective.work is building the next generation of AI-powered recruitment.
The company supports over 20,000 recruiters and headhunters across France, Belgium, Spain, and EMEA, and is expanding its product and distribution in the UK.
Their platform combines a suite of AI agents — from sourcing and outreach to job posting and ATS integrations — with a database of 800M+ professional profiles and a network of 1M+ active candidates .
Missions Design, build, and maintain scalable data pipelines for large-scale data ingestion, transformation, and enrichment.
Develop and optimise data infrastructure within the Microsoft Azure ecosystem.
Improve data quality, reliability, and processing performance.
Make high-quality data accessible to AI agents and product features.
Collaborate with engineering and product teams to deliver robust, production-ready solutions.




Tools Environment Microsoft Azure data services Azure Data Factory Databricks PySpark Azure Data Lake Storage SQL Python Working Conditions Location: Madrid, Spain Type: Freelance / Contract Start date: ASAP Duration and day rate: To be agreed Requirements Strong experience in data engineering and production-grade ETL/ELT pipelines Hands-on expertise with Microsoft Azure data services Excellent SQL skills and experience with Python Experience processing large datasets and optimising data workflows Autonomy , a problem-solving mindset, and the ability to deliver in a fast-moving environment Experience with Azure Data Factory , Databricks , PySpark , and Azure Data Lake Storage is a plus

📌 Freelance Azure Data Engineer (Madrid)
🏢 Collective.work
📍 Madrid