Data Engineering Jobs in Denmark
There are 427 open Data Engineering jobs in Denmark on freehire right now. 98 of them were posted recently. The skills employers ask for most often are python, ai and sql.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| DKK | year | DKK 803,950 | DKK 933,550 | DKK 998,775 | 12 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- python 51%
- ai 49%
- sql 47%
- cloud 42%
- data-engineering 42%
- data-pipelines 40%
- analytics 37%
- azure 35%
How the work is done
- Hybrid 27 · 6%
- Onsite 7 · 2%
- Remote 6 · 1%
Visa sponsorship offered in 73% of the 15 postings that state a position on it.
Seniority
- Senior 160
- Lead 36
- Junior 4
- Principal 4
- Middle 3
- C-level 2
Who is hiring
- 1000+ employees 88
- 501-1000 employees 61
- 51-200 employees 19
- 11-50 employees 10
- 1-10 employees 3
- 201-500 employees 3
Lead Data Engineer — Open Intelligence Pipelines (Hybrid)
Leads a data engineering team building open intelligence pipelines with SQL, Python/Scala, and modern data tools while mentoring engineers and collaborating with product teams.
Senior Data Engineer
Senior Data Engineer builds and maintains data pipelines and tools to enable data-driven audiological development at a global hearing-aid company, using Python, SQL, Spark, and Databricks.
Data Engineer, Renewable Energy Analytics & Pipelines
Build and maintain Azure-based data pipelines for renewable energy assets, enabling analytics and reporting for wind and solar projects.
Data Engineer – Data Warehouse & Analytics
Designs and maintains data warehouses, builds PowerBI dashboards, and models large datasets using SQL and Informatica for a Danish government agency.
Senior Data Engineer
Senior Data Engineer building and scaling a modern data platform to turn business needs into robust, high-quality data solutions and drive data-driven decisions.
Principal Data Engineer
Lead data engineering efforts to build and migrate a Databricks-based data lake and ML pipelines for an automotive client, using PySpark, Python, and CI/CD.
Data Engineering Talent Pipeline: Ingest, Build, Insight
Designs and builds data ingestion pipelines, transforms raw data for analysis, and optimizes cloud-based data systems using Python, SQL, and ETL tools like Apache Airflow.
Lead Data Engineer
Lead a data engineering team to design and build scalable data pipelines, warehouses, and integrations for marketing tech stacks using GCP, Snowflake, dbt, and Airflow.
Senior Data Engineer — Cloud Data Pipelines & Analytics
Senior Data Engineer builds and maintains cloud data pipelines for digital marketing solutions using Spark, Python, SQL, and cloud infrastructure.
Data Engineer: Cloud Data Pipelines & Analytics
Build and maintain cloud data pipelines and analytics solutions using Python, SQL, and cloud platforms to turn large datasets into business insights.
Data Engineer/ Data Consultant
Designs, builds, and maintains data pipelines and ETL flows for life-sciences clients using Python and databases, while collaborating with cross-functional teams to deliver data-driven solutions.
Data Engineer
Build and own Turf Tank’s IoT data platform from scratch, designing scalable pipelines to process telemetry from thousands of autonomous robots and deliver actionable metrics to operations.
AI/Data Engineer: Build Scalable Data Pipelines & AI
Design and build scalable data pipelines and AI-driven solutions using Python, SQL, and cloud platforms like Azure and AWS.
Data Engineer: Build Scalable AI Data Pipelines
Design and maintain scalable data pipelines to support AI applications, collaborating with cross-functional teams on cutting-edge solutions.
Data Engineer
Build and model data pipelines for AI agents using Weld’s API and MCP, onboarding customers and designing warehouse setups for agentic workflows.
Experienced Data Engineer
Design and build modern data pipelines and cloud-native analytics solutions for enterprise clients using Python, SQL, Snowflake, Databricks, and cloud platforms like Azure or AWS.
Data Engineer
Build and maintain cloud-native data pipelines and platforms for clients using Python, SQL, Snowflake, Databricks, and CI/CD, while collaborating with cross-functional teams to deliver analytics solutions.
Data Engineer: Build Scalable Data Pipelines
Build and maintain scalable data pipelines on Databricks using Python, PySpark, and SQL to support business decisions and governance.