Tech Lead Data Engineer

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