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Build and migrate data pipelines to Microsoft Fabric, enabling analytics and AI agents while collaborating with data scientists and GIS specialists.
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.
Design and build big-data platforms and self-service BI solutions using Azure services, SQL, Python, and Databricks to advise and implement analytics systems for clients.
Build Azure-based data pipelines and AI models to optimize energy use, advance cancer research, and deploy computer vision solutions for sustainability and healthcare.
Build and maintain scalable data pipelines using Python, PySpark, and SQL, applying software engineering best practices to data architectures in Azure and GCP.
Senior Data Engineer builds and maintains cloud-based data pipelines and Azure migrations using Python, PySpark, Databricks, and CI/CD tooling.
Build and maintain scalable, 24/7 data pipelines and analytics solutions for clients in industries like healthcare, energy, and logistics using SQL, Python, Azure, Spark, and Kafka.
Senior Data Engineer builds scalable Microsoft-based data pipelines and lakehouse architectures for enterprise clients across finance, government, energy, logistics, and healthcare.
Build and maintain scalable data pipelines on Azure using PySpark and Synapse to integrate and process data for consumer-focused comparison platforms.
Designs and maintains scalable data pipelines in Microsoft Azure Fabric, transforming raw data into reliable analytics-ready datasets using Azure Synapse, Data Factory, Spark and SQL.
Build and maintain scalable data pipelines on Azure to unify marketing, customer, and insurance data for real-time insights and improved customer experience.
Design and build scalable cloud data pipelines and AI-ready architectures using Azure services to turn raw data into reliable, analytics-ready datasets for ML and decision-making.
Design and maintain cloud-based data pipelines and the enterprise Master Data Repository in Azure, enabling reliable data flows and analytics for a high-tech electronics manufacturer.
Build and maintain scalable data pipelines and cloud infrastructure to deliver high-quality, reliable data for analytics, ML, and business processes for government and enterprise clients.
Build and optimize data pipelines and platforms (Azure, Databricks, dbt) for clients, using Python, SQL, Spark and ELT/ETL patterns to enable analytics and AI.
Build and maintain Alfen’s cloud-based data platform using Snowflake, Matillion, Python, SQL, and Power BI to integrate ERP, IoT, and HR data for analytics and decision-making.
Build and own the data infrastructure for a risk-detection platform serving e-commerce and logistics, designing pipelines, warehouses, and MLOps to process millions of real-time events.
Build and maintain Azure Databricks and Microsoft Fabric data pipelines, ETL/ELT processes, and Lakehouse architectures to deliver reliable data for analytics and reporting.
Design, build, and optimize modern data platforms on Microsoft Azure for leading Dutch organizations, focusing on data ingestion, transformation, modeling, and visualization.
Design, build, and maintain scalable cloud data pipelines and infrastructure to ensure high-quality, reliable data for analytics, ML, and business processes for government and enterprise clients.
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