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Data Engineer
Build and maintain ETL/ELT pipelines and cloud data solutions using AWS, Snowflake, Python, and Go; integrate messaging and CI/CD tooling.
Databricks Data Engineer — Lakehouse Pipelines & Governance
Build and maintain scalable data pipelines and curated data products on Databricks using SQL, Python, and PySpark, with a focus on governance and quality.
BI Data Engineer (Back-End) - Hybrid & AI-Aware
Builds back-end data models and pipelines for IoT, workplace safety, finance, and ESG reporting using Azure, Databricks, PySpark, and Power BI.
Data Engineer with 3+ years of experience in Databricks and/or Microsoft Fabric, Aarhus
Design and build scalable data pipelines and models using Databricks, Microsoft Fabric, and Azure tools to deliver business insights and solutions for clients.
Data Engineer with 3+ years of experience in Databricks and/or Microsoft Fabric, Aarhus
Build and optimize ETL pipelines and data models using Databricks, Microsoft Fabric, and Azure tools to deliver scalable data solutions for clients.
Technical Lead Data & Platform Engineer
Lead the architecture and hands-on development of a modern data platform using Azure, Databricks, and dbt to deliver scalable, governed data products and pipelines for an investment firm focused on health and sustainability.
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 - QuantumBlack, AI by McKinsey
Build and maintain scalable data pipelines for machine learning systems, ensuring data quality and security while collaborating with cross-functional teams to deliver AI solutions for clients.
Part-time Data Engineer Consultant
Part-time role building data pipelines and cloud-native platforms for clients, using Python, SQL, and modern stacks like Azure, Snowflake, and dbt.
Data Engineer at Novo Nordisk Engineering
Build and maintain enterprise data pipelines and products on Microsoft Fabric/Azure to power analytics, automation, and AI at a global healthcare engineering firm.
Mid-level Data Engineer for Circle Gas
Build and maintain scalable data pipelines for IoT telemetry using PySpark, Airflow, and Iceberg on AWS, ensuring high-quality data for analytics and billing in a clean-cooking fuel company.
Senior Data Engineer (Alteryx → Databricks Migration, Finance)
Senior Data Engineer to migrate finance cost allocation from Alteryx/SQL Server to Databricks, replacing legacy workflows with PySpark pipelines and SAP HANA sources.
Senior Python Data Engineer – PySpark & AWS
Build and maintain data integration pipelines for Danish public-sector clients using Python, PySpark, AWS Glue, and Athena SQL.
Part‑Time Data Engineer Consultant—Copenhagen, Modern Data
Build and maintain data pipelines and models in Python, SQL, and PySpark to ingest, transform, and deliver data for clients, turning insights into actionable value.
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.
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 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.
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.