Data Engineering Jobs in Denmark
There are 424 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 50%
- ai 50%
- sql 47%
- cloud 42%
- data-engineering 42%
- data-pipelines 40%
- analytics 36%
- 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 159
- Lead 36
- Junior 4
- Principal 4
- Middle 3
- C-level 2
Who is hiring
- 1000+ employees 87
- 501-1000 employees 61
- 51-200 employees 19
- 11-50 employees 10
- 1-10 employees 3
- 201-500 employees 3
Databricks Data Engineer: Lakehouse Pipelines & Governance
Build and maintain scalable data pipelines on Databricks using SQL, Python, and PySpark, focusing on ingestion, transformation, governance, and delivery with Unity Catalog.
Data Platform Engineer — Build & Run Modern Data Pipelines
Build and run modern data pipelines and platforms using open-source tools, focusing on processing, orchestration, and deployment with AI insights and CI/CD.
Data Engineer
Build and maintain high-scale data pipelines and edge services for WPP’s AdTech platform, handling tens of thousands of requests per second using Python/Go/Scala, Spark, and Kubernetes.
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
Build and scale cloud-native data pipelines and infrastructure for a healthcare company, using Azure Databricks, PySpark, and Python to power analytics and AI across the business.
Lead Data Engineer, Databricks & AI ML Pipelines
Lead the migration to Databricks and design high-performance data pipelines using Python and PySpark to enable a data-driven culture.
Hybrid Data Engineer: Build Scalable Pipelines & Impact
Build and maintain scalable data pipelines and backend systems using Python, SQL, and BigQuery to onboard large-data customers in a fast-moving Danish startup.
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.
Data Engineering Student Analyst
Build and maintain data pipelines for a healthcare company, using Python and SQL to extract, transform, and load data while learning cloud platforms like Azure.
Lead Data Engineer
Lead a team to build and scale a Microsoft Fabric-based data platform, designing pipelines, models, and integrations to support DCC Energi’s green-energy transition and business insights.
Senior Data Engineer
Senior Data Engineer at Schneider Electric builds and operates event-driven streaming pipelines (Kafka, Flink) for a cloud-based DCIM SaaS product, shaping scalable data architectures and ensuring reliability and governance.
Senior Data Engineer
Build and advise on Microsoft Fabric-based data platforms and AI integrations for public and private customers, driving architecture, governance, and customer maturity through workshops and delivery.
Senior Data Engineer
Senior Data Engineer builds and advises on Microsoft Fabric-based data platforms and AI integrations for enterprise customers, driving architecture, workshops, and delivery.
Data Engineer — Build Scalable ML Pipelines
Design and maintain scalable data pipelines for ML systems in Python and cloud platforms, collaborating with cross-functional teams to deliver data solutions.
Senior Data Engineer
Senior Data Engineer builds and maintains cloud-based data pipelines and models for media analytics, enabling 1:1 retargeting and CRM for global brands using Spark, Python, and GCP/AWS/Azure.
Senior Data Engineer
Build and optimize a Databricks-based Lakehouse platform for a multi-channel retail business, transforming raw data into scalable, business-ready insights using PySpark, Delta Lake, and Unity Catalog.
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.