Join a fast-moving team building data pipelines that power a global SaaS platform for industrial asset management. You’ll lead engineering practices, mentor a small team, and collaborate across product and domain experts to turn complex customer data into reliable, actionable insights.Tech stack & responsibilities: Build and maintain scalable data pipelines in Python Use Databricks, Spark, and SQL for processing and analysis Collaborate via Gitlab, contribute integration tests and smart documentation Configure new tenants and streamline onboarding workflows Work closely with product and domain experts to improve data quality and accessibility Requirements: 5+ years in data engineering or similar Strong Python skills and experience with production-grade pipelines Familiarity with Azure, Snowflake, and relational databases Solid understanding of testing frameworks and version control Fluent English (B2+), collaborative mindset, and adaptability in international teams Nice to have: Experience with Docker, Kubernetes, or NoSQL/graph databases Willingness to travel abroad twice a year for on-site workshops