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Senior Data Engineer: Cloud Data Platforms (Fabric/Databricks)
Senior Data Engineer builds and maintains cloud data platforms using Microsoft Fabric, Databricks, and Python to ensure high data quality and enable analytics.
Senior Data Engineer – Cloud Fabric & Databricks
Designs and builds scalable data platforms using Microsoft Fabric, Python, and Databricks to create robust data foundations and analytics pipelines.
Senior Data Engineer & Databricks Platform Lead
Senior Data Engineer builds and leads a Databricks-based data platform, mentoring engineers and shaping scalable data solutions for a data-driven organization.
Erfaren Data Engineer til TV 2s Dataplatform
Build and maintain TV 2’s cloud-based data platform using Azure Databricks and lakehouse architecture, designing scalable pipelines for batch and real-time analytics across media and streaming data.
Senior Data Engineer: Databricks, Java & Python
Senior Data Engineer builds and maintains Bankdata’s Databricks-based data platform using SQL, Python, Java/Spring Boot, and COBOL, while contributing to cross-bank systems and automated testing.
Senior Data Engineer - AI-Driven Data Platforms and ETL
Build and maintain cloud-based data pipelines and AI-driven analytics using Azure Databricks, PySpark, SQL, and Power BI to deliver business insights.
Data Engineer (BI Back-end Developer)
Builds and maintains BI back-end pipelines using Azure, Databricks, and PySpark to deliver clean, structured data for analytics and decision-making across the Aarsleff Group.
Senior Data Engineer: Azure & Databricks | Power BI On-site
Design and build modern data platforms and analytics solutions using Azure, Databricks, and Power BI for enterprise clients across industries.
Data Engineer - Open Intelligence Pipelines (Hybrid)
Builds and maintains data connectors and pipelines for brand, adtech, and marketing data using SQL, Python/Scala, and platforms like Databricks or Snowflake.
Data Engineer
Build and maintain data pipelines that feed VML’s Open Intelligence platform, focusing on adtech/martech data connectors, SQL-based pre-aggregation, and cloud-native tooling.
Azure Data Platform Engineer: Data Warehouses & Pipelines
Builds and maintains scalable Azure data platforms and warehouses using Fabric, Databricks, and Azure Data Factory for enterprise customers.
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 Engineer
Build and maintain cloud-based data platforms and warehouses in Azure using Fabric, Databricks, Spark, and Terraform, designing ETL pipelines and Infrastructure-as-Code for enterprise 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.
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.
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.