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Builds and maintains data pipelines, datasets, and models to power reporting and dashboards for a product-focused team.
Lead a team to design and build scalable data pipelines on Google Cloud using Python, SQL, and Terraform for enterprise clients.
Lead the build-out of a scalable data platform for healthcare clients, designing ETL pipelines, cloud infrastructure, and dashboards in Python/R and GCP/Azure to deliver real-time insights that drive decisions.
Senior Data Engineer builds and maintains the data warehouse, designs ETL pipelines in Informatica PowerCenter, and ensures reliable datasets for reporting and analysis using Microsoft SQL Server.
Lead a team to design and build scalable data pipelines for healthcare analytics using Python, Airflow/Prefect, dbt, and Databricks, ensuring reliability and governance.
Lead a small team to build and maintain an Azure-based data platform, ensuring high-quality data pipelines and insights for a fast-growing Dutch mobility platform.
Leads cloud and ML data-pipeline engineering at a Netherlands-based tech consultancy, building scalable Azure/Databricks solutions and guiding technical decisions.
Lead a team to design and modernize a scalable enterprise data platform for a commercial real estate firm, using Redshift, Airflow, Kafka, and PostgreSQL in AWS.
Lead a BI development team to design and build data pipelines, warehouses, and analytics solutions for clients using SQL, ETL, ADF, Databricks, and Python.
Lead a team building scalable data pipelines and a Customer Data Platform for marketing automation, personalization, and growth at a top Benelux classifieds marketplace.
Lead the design and delivery of modern data platforms using Microsoft Fabric, PySpark, and SQL to build scalable pipelines and enable AI-driven insights for clients in healthcare, government, and other sectors.
Lead a team of data engineers to design, build, and maintain scalable data pipelines and infrastructure for AS Watson’s retail brands, ensuring robust, production-ready data solutions.
Lead a team to design and scale a data warehouse and pipelines using Azure Data Factory, Databricks, PySpark, and Kimball modeling, while coaching peers and improving reliability and performance.
Lead a data engineering team to build and maintain scalable data platforms and pipelines that support AI/ML initiatives in healthcare.
Leads end-to-end data engineering projects, designing scalable ETL/ELT pipelines and cloud-based data architectures while coaching a team of engineers to deliver reliable, high-impact data solutions for enterprise clients.
Lead a team building scalable data and AI platforms using Databricks, Azure, and Python to power analytics and customer experiences in a hybrid food-tech business.
Lead a data engineering team to build and maintain a scalable, reliable data platform for a pharmaceutical company, designing pipelines, integrations, and governance to turn raw data into actionable business insights.
Lead the design and delivery of a healthcare data platform using Python, Prefect, SQL, and Databricks to enable patient cohort searches and clinical research while ensuring privacy compliance.
Lead a data engineering team to build and maintain robust pipelines and warehouses for a healthcare search engine used in hospitals, primarily using Python, Prefect, and SQL.
Build and maintain a scalable data warehouse for a national pharmacy group, integrating external sources with Python, Airflow, and PostgreSQL to power internal dashboards.
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