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Designs and builds large-scale data pipelines for a media-tech company using Python, SQL, and cloud platforms, ensuring reliability and observability.
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.
Designs and maintains ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake, deploying solutions via CI/CD with Azure Data Factory and SQL.
Designs and builds end-to-end data pipelines, cloud data platforms, and automated ELT processes for clients, ensuring scalable, secure, and high-quality data architectures.
Principal Consultant leads the Data Engineering team, designing scalable data pipelines, warehouses, and cloud platforms using Python, Spark, SQL, and Azure/AWS/GCP to deliver end-to-end data solutions for enterprise clients.
Build and maintain automated data pipelines and core data products for a trading firm using Python and big-data tools.
Build and maintain cloud-based data pipelines and architectures for analytics and AI workflows in a consultancy role, primarily remote with occasional on-site client work.
Designs and builds scalable data pipelines to process network data into actionable insights for a telecom company’s mobile network planning.
Designs and maintains scalable Azure data pipelines using Azure Data Factory, SQL, Python, and CI/CD to deliver efficient cloud-based data solutions.
Build and maintain scalable data pipelines and models in Python/SQL to support energy forecasting, renewable asset control, and operational optimization for a climate-focused energy company.
Build and optimize ETL pipelines and data infrastructure using Python, Kafka, and Airflow to ensure high-quality data flows for a fast-growing media company.
Build and maintain scalable data pipelines using Databricks, PySpark, and Azure Data Factory to process large datasets for analytics and AI initiatives.
Build production-grade data pipelines and dashboards to turn raw data into actionable insights for clients in a consultancy setting.
Builds and optimizes T-SQL pipelines and Python/Airflow workflows to load and transform banking data into a reliable SQL warehouse for reporting and analytics.
Lead end-to-end delivery of data solutions using Databricks and Azure, guiding teams through design, development, testing, and deployment for financial-services clients.
Senior data engineer leading robust, future-proof data solutions for Enexis’s energy grid, coaching teams, and designing scalable data pipelines to support the energy transition.
Design and build cloud data pipelines on Databricks, using Python or Scala to integrate and process data for clients.
Build data pipelines and ML models to predict rail maintenance needs, improving reliability for public transport systems using Python, SQL, and Kubernetes.
Designs and builds scalable ETL/ELT pipelines and data models using Python, Spark, and Kafka to support data architecture and governance in a federated environment.
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