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Leads data engineering for hearing-aid R&D, building scalable pipelines and high-quality datasets to power Oticon’s device portfolio and research.
Build and maintain high-scale, privacy-preserving data pipelines using Python/Go/Scala, Spark, and cloud infrastructure to support analytics and AI workloads.
Lead data engineering for audiology, building scalable pipelines and mentoring teams to enable data-driven innovation in hearing healthcare solutions.
Architect and build scalable data pipelines, dashboards, and models for a software company where data is core to operations.
Senior Data Engineer builds and migrates cloud data platforms on Azure, designs Kafka and PostgreSQL/TimescaleDB pipelines, and deploys Angular/TypeScript web apps with FastAPI and Kubernetes.
Lead the end-to-end data and integration architecture for a bank’s credit platform, ensuring robust, traceable, and compliant data flows across internal and third-party systems.
Designs and builds scalable ETL pipelines and data models using Databricks, Azure Data Factory, and Azure Synapse to support reporting and analytics for a European consulting firm.
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 builds and maintains scalable data pipelines on Google Cloud Platform to power AI-driven growth and equity insights at a Copenhagen-based startup.
Build and maintain scalable data pipelines using Python, SQL, Apache Spark, and Airflow in a product-focused team.
Senior Data Engineer to migrate finance cost allocation processes from Alteryx to Databricks, reverse-engineering workflows and building production-grade pipelines for financial data.
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 Data Engineer builds and refines reference architectures on Microsoft Fabric, turning business needs into scalable data solutions using Azure DevOps and CI/CD.
Design and build cloud-based data pipelines and storage for large-scale analytics, using Python, SQL, and Cloud platforms to deliver insights across industries.
Design and maintain data pipelines and architecture for life sciences clients using Python and related tools.
Build and own a global IoT data platform on Azure, designing ETL pipelines and metrics delivery for Turf Tank’s climate-tech solutions.
Student role building and maintaining a diagnostic data platform using Python, dbt, and Power BI for a sortation systems company.
Senior Data Engineer to migrate Oracle databases to PostgreSQL, convert ODI pipelines to Azure Data Factory, and build Power BI reports for business insights.
Design and optimize cloud data platforms using Microsoft Fabric and Databricks, focusing on data integration, automation, and high-quality solutions with Python.
Senior Data Engineer builds scalable cloud data platforms using Microsoft Fabric, Python, and Databricks, designing pipelines, transformations, and models to turn raw data into insights and AI-ready foundations.
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