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 PythonUse Databricks, Spark, and SQL for processing and analysisCollaborate via Gitlab, contribute integration tests and smart documentationConfigure new tenants and streamline onboarding workflowsWork closely with product and domain experts to improve data quality and accessibilityRequirements:5+ years in data engineering or similarStrong Python skills and experience with production-grade pipelinesFamiliarity with Azure, Snowflake, and relational databasesSolid understanding of testing frameworks and version controlFluent English (B2+), collaborative mindset, and adaptability in international teamsNice to have:Experience with Docker, Kubernetes, or NoSQL/graph databasesWillingness to travel abroad twice a year for on-site workshops