Senior Data Engineer

Job description

We are looking for a Senior Data Engineer to join our Sustainability Data & AI team and help build and operate a modern Sustainability Data Foundation based on Databricks.

You will develop scalable data products and pipelines supporting sustainability reporting, regulatory compliance and analytics, taking ownership from design through production.

Workload: Full-time

Work model: Remote

Business Travels: YES (business trips to Denmark from time to time)

Duration: 12 months + option for extension ( project planned min till 2030)

Start Date: 01/27

Your responsibilities:

- 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.

Requirements:

- 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.

Nice to have:

- Experience with ESG / sustainability or regulatory reporting.

- Knowledge of ERP, procurement, finance or supplier data.

- Experience building Databricks applications, dashboards or user-facing tools.