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Designs and implements data protection controls using Microsoft Purview and Insider Risk to secure sensitive financial data in a regulated banking environment.
Develop Python-based software to transform raw detector data into usable datasets for scientific analysis in a small, international team.
Lead the build-out of a modern data lake and AI platform, owning pipelines, automation, and practical AI integration to drive analytics and insights at OrderYOYO.
Build and maintain modern data platforms in Microsoft Azure and Fabric, design scalable pipelines, and optimize SQL/Python-based solutions for Danish enterprises.
Lead a team to design and maintain cloud data pipelines in Snowflake, ensuring high-quality financial data for analytics and product use.
Designs and builds scalable data pipelines and models on Azure Databricks and Fabric, translating technical concepts into business value for a consulting firm.
Designs and builds scalable ETL pipelines using Databricks, Azure Data Factory, and Azure Synapse, translating data challenges into business solutions.
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.
Lead a team of data engineers in Copenhagen, designing and implementing modern data stacks for high-profile clients using tools like dbt and Airflow.
Build and maintain scalable ELT pipelines for an EV charging data platform using Amazon Redshift and SQL, ensuring data accuracy and reliability.
Build and maintain scalable ELT pipelines and data infrastructure for Spirii’s EV charging platform, ensuring reliable data flow into Amazon Redshift and supporting analytics for charging events, subscriptions, and financial transactions.
Senior Data Engineer builds and optimizes Databricks Lakehouse pipelines for scalable data platforms, collaborating with teams to implement best practices and mentor colleagues.
Designs data pipelines and analyzes performance for Microsoft’s quantum computing systems in Copenhagen, using AI tools to optimize hardware and mitigate risks.
Build and maintain scalable data pipelines for a fashion ecommerce platform, collaborating with data scientists to power analytics and AI features.
Senior Data Engineer at FashionUnited builds and scales data products in Azure to power analytics and business decisions for the fashion media platform.
Build and maintain scalable, cloud-native pipelines that standardize and validate tracking and event data across TV 2’s platforms, enabling reliable analytics and personalization.
Build and maintain scalable data ingestion pipelines and a unified data platform using Databricks, Microsoft Fabric, Kafka, and Terraform to securely move and transform enterprise data for Bunker Holding Group.
Build and maintain scalable cloud-based data ingestion pipelines using Databricks, Microsoft Fabric, Kafka and Azure services to feed a unified data platform that drives analytics and decision-making.
Build scalable data ingestion pipelines and help design a unified data platform using cloud tools like Databricks and Microsoft Fabric.
Designs and maintains data pipelines to track user behavior and ensure high-quality data for TV 2’s media platforms.
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