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Builds scalable data pipelines and platforms, automates data flows, and delivers insights for clients across industries like healthcare, finance, or mobility.
Build and maintain ETL pipelines and data models in SQL Server to support regulatory reporting and fraud detection for a Dutch fintech provider.
Build and optimize data pipelines for energy-sector clients, integrating real-time sensor data, open sources, and cloud systems using Python and AWS/Azure/Google Cloud.
Build and maintain data pipelines, ETL scripts, and cloud-based data platforms in Azure to transform raw data into reliable, structured datasets for analytics, dashboards, and AI projects.
Build and maintain a scalable Azure-based data platform using PySpark and SQL, designing pipelines, data products, and CI/CD workflows while ensuring governance and security.
Build and maintain a Microsoft Fabric/Power BI-based data platform for a large Dutch out-of-hours GP service, designing ETL pipelines, data models, and dashboards to drive operational, financial, and strategic decisions in healthcare.
Design, build, and maintain scalable data platforms for clients, including ETL pipelines, data models, and analytics solutions using Python, SQL, and cloud platforms.
Senior Data Engineer builds and maintains scalable ETL pipelines using Python, SQL, PySpark, AWS, and Databricks to deliver clean data solutions for enterprise clients.
Build AI solutions and ETL pipelines for clients, developing server-side tools using Python, Docker, and Kubernetes.
Designs and maintains ETL/ELT pipelines and data models to connect, organize, and expose data for clients, using tools like Azure Data Factory, Spark, and Snowflake.
Build and maintain data pipelines, data warehouses, and production-ready ML systems for clients like ING or ASML using Python, Spark, Kafka, and cloud tools.
Build and maintain cloud-based data platforms using Azure/AWS/GCP and infrastructure-as-code for clients in IT services.
Build and migrate data pipelines to Microsoft Fabric, enabling analytics and AI agents while collaborating with data scientists and GIS specialists.
Builds and maintains ITSM data pipelines on Azure and Databricks, implementing business rules and ETL workflows for a global data platform used by Rabobank.
Builds and maintains cloud-based data pipelines and infrastructure for clients, using tools like Databricks, Spark, Airflow, and Terraform to process and store data at scale.
Build and maintain a scalable data platform for a quantitative investment firm, using Python, Airflow, and AWS to process market data and support research workflows.
Build and engineer Microsoft Fabric lakehouses and data pipelines for enterprises, defining best practices, CI/CD, and scalable architectures while bringing software engineering rigor to data platforms.
Lead a team to build and scale a modern data platform using ELT/ETL pipelines, dbt, Airflow, and cloud warehouses like Snowflake or Databricks to drive reliable, high-performance analytics for business decisions.
Build and maintain scalable data pipelines and analytics solutions for clients in industries like healthcare, logistics, and fintech using Python, SQL, Azure, Spark, and Kafka.
RFQ & Data Engineer analyzes customer requests, translates specs into cost estimates, and coordinates supplier quotes to produce competitive bids for technical projects.
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