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Data Platform Engineer
Build and operate open-source data platforms: pipelines, processing, orchestration, and deployment using Python, Spark, Kubernetes, and observability tools.
Senior Data Platform Engineer
Senior Data Platform Engineer designs, builds, and advises on open-source data platforms for clients, focusing on stability, security, and scalability using Python, Spark, Kafka, Kubernetes, and related tools.
Data Platform Engineer
Build and maintain open-source data platforms using Python, SQL, Spark, and Trino; design pipelines, orchestration, and observability for batch/streaming data.
Senior Data Platform Engineer
Senior Data Platform Engineer designs, builds, and advises on open-source data platforms for clients, focusing on stability, security, and performance using tools like Trino, Spark, and Kubernetes.
Lead Data Platform Engineer (Kafka & Flink)
Lead the design and implementation of business-critical data solutions using Kafka and Flink to drive data-driven decisions across Unity's gaming titles.
Graduate / Junior Data Platform Engineer
Build and maintain open-source data platforms for clients, working hands-on with Python/SQL pipelines, Spark/Polars processing, and Kubernetes deployments while learning under senior guidance.
Senior Data Platform Engineer
Senior role designing and advising on open-source data platforms for clients, focusing on ingestion, processing, governance, and serving layers using Python, Spark, Kafka, Kubernetes, and related tools.
Graduate / Junior Data Platform Engineer
Build and maintain open-source data platforms using Python, SQL, and modern tools like Spark, Airflow, and Kubernetes while learning from senior engineers.
Graduate / Junior Data Platform Engineer
Build and maintain open-source data platforms for clients, working hands-on with Python, SQL, Spark, and Kubernetes while learning data pipelines, CI/CD, and cloud infrastructure.
Senior IOT Data Engineer
Design and industrialize data platforms for embedded/IoT systems, building scalable pipelines and governance for smart factories and connected products.
Data Engineer - Middelfart eller Århus
Build and maintain scalable data ingestion pipelines and a unified data platform using Databricks, Microsoft Fabric, Kafka, and Terraform to securely move and transform enterprise data for Bunker Holding Group.
Data Engineer - Middelfart eller Århus
Build and maintain scalable cloud-based data ingestion pipelines using Databricks, Microsoft Fabric, Kafka and Azure services to feed a unified data platform that drives analytics and decision-making.
Senior Data Engineer - Azure Data Platforms & Streaming
Senior Data Engineer builds and migrates cloud data platforms on Azure, designs Kafka and PostgreSQL/TimescaleDB pipelines, and deploys Angular/TypeScript web apps with FastAPI and Kubernetes.
Senior Data Engineer – F/M/X
Senior Data Engineer builds cloud-based data platforms on Azure, designs pipelines with Kafka and Azure Synapse, and develops web apps using Angular, Python, and FastAPI for energy-sector projects.
Senior Data Engineer: Streaming Platform with Kafka & Flink
Design and enhance event-driven, scalable data platforms using Kafka and Flink for a global energy-management company in Kolding.
Lead Data Engineer
Lead a team to design and maintain event-driven data architectures (Kafka, CDC) and cloud data platforms (GCP/BigQuery, Snowflake) to power reliable data products across Nordic marketplaces.
Data engineer
Design and maintain scalable data pipelines using Spark, Kafka, and cloud platforms to process large datasets for Fortune 500 clients.
Data Engineer
Build and maintain data pipelines and reporting systems on Azure to support renewable energy asset operations, using Python, SQL, and modern data tools.
Data Engineer (Copenhagen/Aarhus)
Build and maintain data pipelines and reporting systems on Azure to support renewable energy asset operations, using Python, SQL, and modern data tools.
Talent Pipeline for opportunities within Data Engineering
Build and maintain data pipelines, ETL processes, and storage infrastructure to ensure reliable, scalable data flow for analytics and decision-making.