Data Platform Engineer
Summary
Recruited via XpertDirect for a Copenhagen-based energy technology company, this role builds and runs the shared data platform behind analytics, operational apps and ML workloads. Day-to-day spans data engineering, streaming and cloud infrastructure using Python, Spark, Kafka, Airflow, Snowflake, Kubernetes and AWS.
Data Platform Engineer
Copenhagen, Denmark — Hybrid
Energy Technology | Data Platform | Data Engineering | Cloud Infrastructure | Real-Time Data
Our client, a growing Energy Technology company based in Copenhagen, is looking for a Data Platform Engineer to build and evolve the shared data platform supporting analytics, operational applications, and machine-learning workloads.
You'll work across data engineering, distributed processing, streaming, cloud infrastructure, and platform engineering, creating the foundations that allow teams across the organisation to work effectively with data at scale.
Core Skills
- 4+ years in Data Engineering, Data Platform Engineering, Data Infrastructure, or a similar role
- Python
- Apache Spark
- Apache Kafka
- Apache Airflow
- Snowflake
- Kubernetes
- AWS
- Experience building and operating production data systems
Nice to Have
- Terraform
- dbt
- Kafka Streams / Kafka Connect
- Databricks
- Docker
- Prometheus / OpenTelemetry
- Data-quality and observability tooling
- MLflow
- CI/CD / GitOps
- Data lake / lakehouse architectures
- Infrastructure as Code
- Experience supporting ML or real-time operational workloads