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Senior Python Data Engineer - ETL, Spark, Azure Databricks
Build and maintain an ETL framework for financial data using Python, Apache Spark, and Azure Databricks in a 2-3 year project.
Senior Data Engineer — AI-Scale Systems (Remote, Contract)
Architect and build scalable data pipelines for AI model training using Python and Spark in a high-impact contract role.
Cloud / Data Engineer - RVO (Rijksdienst voor Ondernemend Nederland)
Build and scale secure, efficient data platforms in Azure using Databricks and Kubernetes, design medallion architectures, and implement PySpark/SQL pipelines for government AI initiatives.
Staff Data Platform Engineer
Build and scale a cloud-native data platform using Databricks, Spark, and AWS to power analytics and ML at a data-driven tech company.
Vacature in Eindhoven: Data Engineer | tot €6.000 + leaseauto + bonus
Designs, builds, and optimizes cloud-based data pipelines and architectures to make large datasets accessible and actionable for analytics and AI teams.
Data Engineer met AI-Impact | Bouw schaalbare pipelines
Builds scalable data pipelines and AI-ready data lakes using Spark, Fabric, and cloud platforms to power real-time dashboards and AI models.
Junior Data Platform Engineer
Build and maintain Azure and Databricks data pipelines, landing zones, and governance so teams can safely access reliable data for analytics and AI.
Cloud Engineer
Build and lead scalable data platforms on Azure (Databricks, Synapse, Data Lake) to turn business challenges into data-driven solutions, while mentoring peers and collaborating with data scientists.
Senior Data Engineer: Spark & Cloud Platforms (NL)
Designs and transforms data platforms using Apache Spark and cloud technologies for an AI-focused company.
(Senior) Data Engineer | Azure - m/v/x
Design and build scalable Azure-based data pipelines and AI solutions that turn raw data into business value across sectors like energy, finance, and healthcare.
Data Engineering Xccelerator: Bootcamp + Real-World Projects
Build and deploy scalable data pipelines, warehouses, and ML systems using Python, Spark, Kafka, and cloud tools, while learning on real client projects.
Senior Data Engineer - Databricks, Azure & Power BI
Designs and maintains data pipelines, transforms data workflows, and implements ETL/ELT processes using Databricks, Spark, Python, SQL Server, Azure Data Factory, and Power BI.
C005000 Data Engineer (NS) - WED 22 Jul
Builds and maintains secure data pipelines and models for a NATO-aligned project, using Python, Spark, Kafka, and ETL tools to ensure data integrity and governance.
Medior Data Engineer – Databricks & Lakehouse Platform (Cloud)
Build and maintain cloud-native data pipelines on Databricks, curating trusted datasets with PySpark and Delta Lake to power analytics and AI across Fugro’s global operations.
Senior Fabric Data Engineer: Build at-Scale Data Platforms
Design and build scalable data platforms using Microsoft Fabric, Azure, and open-source tools like Spark and dbt for enterprise clients.
Senior Data Engineer (Azure | Databricks | Spark)-10704150
Build and maintain scalable data pipelines on Azure and Databricks using Spark to transform raw data into insights for analytics and business use.
(Senior) Data Engineer | Azure – m/v/x
Designs and builds scalable Azure-based data pipelines and Applied AI solutions, turning raw data into business value for sectors like finance, energy, transport, and healthcare.
XI | Data Engineer | Den Haag | IT consultancy | 110k
Designs and maintains scalable data pipelines and cloud-based data infrastructure (Azure, AWS, Snowflake) to transform raw data into actionable insights for analytics and AI use cases.
Vacature in Elst: Data Engineer voor boerenbedrijven wereldwijd
Design and maintain data pipelines to collect, clean, and integrate farm-data for global agribusinesses, using Azure, Docker, Kubernetes, and SQL.
Data Engineer: Open-Source Platform, Flexible Work
Build and optimize a large-scale data platform using Spark/Hadoop and SQL/NoSQL databases to improve data quality, reliability, and cost efficiency.