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Senior Data Engineer - Build Scalable, Secure Data Platforms
Senior Data Engineer builds secure, scalable data platforms using PySpark, Python, SQL, and Databricks to power analytics pipelines for enterprise clients.
Azure Data Engineer: Build AI‑Ready Data Platforms
Build scalable data pipelines and AI-ready platforms using PySpark, SQL, and Databricks for client projects in a data engineering agency.
Data Platform Engineer — Scalable Pipelines & Analytics
Design and build scalable data pipelines using Databricks, Python, PySpark, and SQL to ingest, transform, and publish data for analytics and operational systems.
Azure Data Engineer — Cloud Data Solutions & AI
Builds scalable cloud data pipelines and AI-ready datasets using Python, PySpark, dbt and SQL for healthcare, government and finance clients.
Senior Data Engineer - Databricks, Remote
Build and maintain ETL pipelines using Python, SQL, PySpark, and AWS for enterprise clients in a remote role focused on Databricks.
Data Engineer - QuantumBlack, AI by McKinsey
Build and maintain scalable data pipelines for AI/ML projects using Python, PySpark, SQL, and cloud platforms like AWS/GCP/Azure.
Senior Data Engineer – Azure Databricks & Data Platforms
Build and optimize a modern data platform using Azure Databricks, PySpark, and SQL to create data models and pipelines that power reports and dashboards.
Medior Data Engineer Beheer Dashboards - RVO
Builds and maintains Power BI dashboards and ETL pipelines on Azure/Databricks to monitor Dutch industrial decarbonization efforts, using PySpark and Agile practices.
Azure Data Engineer — AI-Ready Data Platforms
Builds scalable Azure data pipelines and AI-ready platforms using Databricks, Fabric, Synapse, and PySpark to turn raw healthcare data into insights.
AI/Data Engineer | Dutch Speaker | Netherlands
Build and maintain AI/ML pipelines, transform data with Python/SQL/PySpark, and deploy LLMs using Databricks and MLOps/LLMOps practices.
Senior Azure Data Engineer
Design and build data pipelines on Azure using Python, SQL, PySpark and Databricks to keep a client’s online platform reliable and performant.
Cloud Data Engineer: AWS, Databricks & ETL Pipelines
Designs and builds scalable AWS and Databricks data pipelines using Python, PySpark, and Kafka to deliver high-quality data solutions for Abbott’s healthcare products.
Data Engineer – Databricks, Azure & Data Mesh
Builds and maintains Databricks-based data platforms on Azure, including CI/CD pipelines, PySpark streams, and Delta Lake schemas with Unity Catalog.
Hybrid Data Engineer - Real-Time Market Pipelines
Builds and maintains real-time data pipelines in Amsterdam using Airflow, PySpark, and Python to process post-trade market data for reporting and analytics.
Senior Machine Learning & Data Engineer
Senior ML & Data Engineer builds and deploys scalable AI/ML pipelines and LLM-driven solutions using Python, PySpark, and Azure Databricks in a banking/insurance environment.
Senior Data Engineer (Dutch speaking)
Lead a team to build and maintain cloud data platforms on AWS/Azure/GCP using Python, SQL, and CI/CD, ensuring scalable, secure data infrastructure aligned with business needs.
Azure data engineer (Nederlands Sprekend)
Builds and maintains data pipelines on Azure Databricks and Data Factory using Python, PySpark, and SQL for a financial-sector client.
PySpark Data Engineer (ID: 3887)
Build and maintain scalable PySpark data pipelines on Databricks, orchestrating workflows with Python and Airflow to deliver reliable analytics-ready data.
Azure Data Engineer (ID: 3870)
Build and maintain Azure-based data pipelines using ADF, Databricks, PySpark, and Azure DevOps to process large-scale datasets and automate ETL workflows.
Senior Data Engineer (ID:3458)
Senior Data Engineer builds and maintains scalable Azure-based data pipelines using Databricks, Synapse, and Oracle ERP integrations to power analytics and reporting in Power BI.