Data Engineer

• Build and operate scalable data pipelines (ETL/ELT)
• Data modelling and design of efficient data structures
• Integrate diverse data sources, including IoT and ERP systems
• Work with cloud data platforms (e.g. Snowflake, Azure Data Factory)
• Orchestrate data workflows using tools such as Apache Airflow
• Optimise pipelines for performance, cost and scalability
• Ensure data quality and security across the pipeline
• Coordinate with business teams and manage external providers when needed

Do you have experience in Scalability?, * Strong knowledge of data modelling and ETL processes

• Experience with cloud data platforms (e.g. Snowflake, Databricks)
• Solid programming skills (e.g. Python, SQL)
• Experience with workflow orchestration (e.g. Airflow)
• Understanding of data integration with ERP/business systems
• Analytical mindset and structured way of working
• Fluent English (mandatory) and German is desirable

• Permanent contract from day one
• Stable, long-term projects with real impact and technical responsibility
• Structured onboarding process, to understand the product, domain, and architecture
• 30 working days of holiday, plus official German public holidays
• Licenses for AI tools to support your daily work
• Access to our internal technical library
• Private health insurance
• Weekly technical training sessions
• Flexible working: from home, the office, or hybrid
• Support from experts specialised in various areas
• No dress code - wear what makes you comfortable
• Friendly, collaborative working environment
• Modern office with high-end hardware and leisure areas
• Flexible working hours