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Develop Python software that turns advanced mathematical models into prototypes for finance, healthcare, and renewable-energy clients, with potential future quantum-computing integration.
Build and maintain data architecture, predictive models, and digital twins to optimize Elopak’s manufacturing process and improve quality, delivery, and efficiency.
Builds back-end data models and pipelines for IoT, workplace safety, finance, and ESG reporting using Azure, Databricks, PySpark, and Power BI.
Consultants build and implement data, AI, and analytics solutions for clients in finance, public sector, healthcare, and energy, bridging technical depth with business impact.
Builds and optimizes data pipelines for Airbus Skywise, creating dashboards and MVPs to drive data-driven decisions and process improvements across the organization.
Build AI/ML-driven simulation tools to optimize industrial fan design and validate performance using physics-informed models and engineering datasets.
Lead the design and build of a modern data platform using Azure, Databricks, and dbt to power investment decisions in healthcare and sustainability.
Build and maintain an AI-native data governance layer for Pandora’s global platform, using Unity Catalog, Schema Registry, and OpenMetadata to automate ownership, compliance, and metadata at scale.
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.
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 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.
Builds and maintains IT/OT data pipelines to turn manufacturing data into insights that improve production lines in pharmaceutical facilities.
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.
Build and own a global IoT data platform on Azure, designing ETL pipelines and metrics delivery for Turf Tank’s climate-tech solutions.
Design and build Azure-based data pipelines for renewable energy asset analytics, ensuring data quality and reliability for global operations and reporting systems.
Build and maintain cloud-based data pipelines and AI-driven analytics using Azure Databricks, PySpark, SQL, and Power BI to deliver business insights.
Senior Data Engineer builds cloud-based data platforms on Azure, designs pipelines with Kafka and Azure Synapse, and develops web apps using Angular, Python, and FastAPI for energy-sector projects.
Design and enhance event-driven, scalable data platforms using Kafka and Flink for a global energy-management company in Kolding.
Designs and builds data pipelines and models to integrate engineering data, enabling AI-ready digital workflows for modern engineering at Saab.
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