On behalf of a client in the energy industry, we are looking for a Python Data Integration Engineer to support the development of a custom data integration solution replacing an existing ETL platform.
Main Responsibilities
- Develop and maintain Python applications for scheduled data-processing tasks
- Build end-to-end data flows for ingestion, transformation and storage
- Containerise and run workloads using Kubernetes CronJobs and Kafka
- Build and maintain CI/CD pipelines for automated deployment and updates
- Troubleshoot and optimise data-processing workflows to ensure reliable operation
Key Requirements
- Strong hands-on Python experience with data ingestion, transformation and storage
- Hands-on experience with Kubernetes CronJobs and Kafka
- Experience with containerisation and CI/CD pipelines
- Experience integrating data through SFTP and REST APIs
- Experience designing and maintaining ETL/ELT or similar data-processing workflows
Other Details
Duration: 19-Oct-2026 - 30-Apr-2027, with possibility of a 6-month extension
Location: Greater Copenhagen
Work setup: Hybrid – minimum 3 days per week onsite