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Build and maintain scalable Azure-based data pipelines and ETL processes to support reporting, analytics, and AI use cases for a Dutch income-protection insurer.
Maintain and optimize SCADA system data for Enexis’s electricity networks, ensuring 24/7 reliability and security while supporting the energy transition.
Design, build, and optimize robust data pipelines and data warehouses for clients, mentor junior engineers, and present technical concepts clearly to stakeholders using Python, SQL, and Azure.
Senior Data Engineer builds and maintains an Azure-based cloud-native data platform using Python, PySpark, Databricks, and CI/CD pipelines to integrate legacy and modern systems for a bank.
Build and automate an Azure-based data platform using Databricks, Synapse, and Terraform to reliably ingest, transform, and integrate data for a client’s data products.
Build and optimize data pipelines, ETL processes, and cloud-based data platforms to turn raw data into reliable, scalable insights for businesses using tools like Azure, AWS, and Snowflake.
Build and maintain secure, scalable medical data pipelines and cloud infrastructure to power healthcare research and AI-driven insights while ensuring privacy and regulatory compliance.
Build secure, scalable data pipelines and APIs to power AI tools and RAG-based solutions for a leading European online brokerage.
Senior Data Engineer builds scalable pipelines and data products for the energy transition using SQL, Python, and Azure tools like Databricks and Delta Lake.
Build and maintain data pipelines and models in Azure Databricks and Synapse to deliver analytics and ML-ready datasets for a fresh-produce company.
Build and maintain SQL-based data pipelines and models for a 4PL provider, enabling analytics and reporting across global supply chains.
Senior Data Engineer builds scalable, reliable data platforms and pipelines in cloud environments for mobility, energy, and finance clients, using Python, Spark, Airflow, and cloud tools.
Design and build scalable Azure data pipelines using PySpark, Databricks, and Fabric to transform raw data into insights for clients in healthcare, government, finance, and more.
Build and scale a new Azure-based data platform using Synapse, PySpark, and Git, while maintaining pipelines and monitoring for a finance-focused company.
Senior Data Engineer builds and owns the data architecture for a fast-growing startup, designing pipelines, integrations, and AI-enabled workflows in Python, SQL, and Snowflake/BigQuery.
Build and maintain cloud-based data infrastructure for clients, using tools like Airflow, Spark, and Flink to process and store data at scale while ensuring security and reliability.
Build and maintain AI-powered data infrastructure for a large Dutch law firm, using Azure OpenAI, Fabric, and Tableau to optimize pricing and business processes.
Build and maintain data pipelines, integrate sources, and enable analytics for clients using SQL, Python, and cloud platforms like AWS/Azure.
Build and optimize scalable data infrastructure, ETL/ELT pipelines, and microservices to transform raw data into actionable insights for enterprise clients using Python, SQL, cloud platforms, and big data tools.
Build and maintain ETL/ELT pipelines on Azure using Databricks, PySpark, and Delta Lake to move and transform data for analytics and reporting.
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