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
Data Engineer - AI Applications
Build and maintain scalable data pipelines and cloud infrastructure to power AI-driven merchandising decisions for a global fashion retail group.
Senior Data Engineer, København
Build and optimize data pipelines, warehouses, and analytics solutions for clients using Azure, Databricks, Power BI, and Snowflake.
Principal Data Engineer
Lead the architecture and evolution of a Databricks-based data platform to power analytics and AI across a fast-growing MedTech company in dentistry.
AI/Data Engineer
Design and build scalable data pipelines and AI-ready data products using Python, SQL, and cloud platforms to power analytics and machine-learning use cases in regulated enterprise environments.
Data Engineer: Data Quality & Governance Lead
Build and maintain data pipelines and governance frameworks to ensure high-quality data for business decisions at a Danish fintech company.
Senior Data Engineer
Senior Data Engineer builds scalable cloud data platforms using Microsoft Fabric, Python, and Databricks, designing pipelines, transformations, and data models to turn raw data into business insights.
Head of Data Engineering
Lead the design and build of a modern, scalable data platform for a biotech company using AWS and Databricks, enabling scientists and teams to access and analyze data for drug discovery.
Senior Data Engineer
Senior Data Engineer builds and optimizes Azure-based data pipelines and analytics platforms using Databricks, Power BI, and related tools for enterprise clients.
Senior Data Engineer
Build and maintain Databricks-based data pipelines and models to turn airport operations data into insights that guide decisions and innovation.
Lead Data Engineer
Lead a Databricks-based data platform, designing scalable pipelines, governance, and standards while mentoring engineers and aligning solutions with business goals.
Senior Data Engineer
Build and scale Databricks-based data pipelines and analytical models for a large toys & consumer goods enterprise to enable trusted business insights.
IT/OT Data Engineer
Build and own data pipelines that integrate industrial OT systems (PLCs, HMIs, Kepware) into Lundbeck’s Aspentech Inmation platform to drive manufacturing intelligence and production optimization.
Senior Data Engineer
Senior Data Engineer builds and maintains data pipelines and infrastructure to enable data-driven audiological development for hearing aids, using Python, SQL, and Spark.
Senior Data Engineer
Senior Data Engineer builds and maintains data pipelines and infrastructure to enable data-driven audiological development at a global hearing-aid company, using Python, SQL, Spark, and Databricks.
IT/OT Data Engineer
Build and implement data solutions that optimize pharmaceutical production by integrating IT/OT systems like PLCs, HMIs, and industrial networks into Lundbeck’s Aspentech Inmation platform.
Senior Data Engineer
Lead a team of data engineers building and maintaining data pipelines for Open Intelligence, focusing on adtech/martech data connectors using Python, SQL, and Scala in cloud environments like GCP/AWS.
Senior Data Engineer
Design and operate scalable AWS-based data pipelines and platforms to power analytics and AI products, using Python, Scala, Spark, and Flink.