data engineer for sustainability reporting

The Sustainability Data & AI team is building and operating a modern Sustainability Data Foundation based on Databricks. It supports sustainability reporting, regulatory compliance and analytics.

• Design and develop data pipelines and data products using Databricks, Delta Lake and PySpark
• Build data models and transformation frameworks for large and complex datasets
• Develop data quality controls, validation and reconciliation processes
• Optimize pipelines for performance, scalability and cost
• Implement CI/CD, automated testing and deployment processes
• Support data governance, lineage, security and access management
• Work closely with Sustainability, Business, Product and Reporting teams
• Troubleshoot issues, perform root-cause analysis and ensure reliable production delivery
• Develop Databricks-based tools to simplify data access and reporting

• 5+ Years of experience in data engineering and data platforms
• Strong production experience with Databricks
• Expert knowledge of PySpark, SQL, data modelling and data pipeline design
• Experience with CI/CD, Git, automated testing and deployment
• Knowledge of data quality, governance, lineage and auditing
• Strong troubleshooting and root-cause analysis skills
• Ability to take ownership and deliver pragmatic, production-ready solutions
• Будет плюсом: Experience with ESG / sustainability or regulatory reporting, knowledge of ERP, procurement, finance or supplier data, experience building Databricks applications, dashboards or user-facing tools

• Contract duration: > 12 months
• Business trips to Denmark from time to time
• Duration: 12 months + option for extension
• Start Date: 01/27