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Senior Data Engineer: Azure, Databricks & ERP Analytics
Senior Data Engineer builds and maintains scalable Azure-based data pipelines using Databricks and ERP systems to power enterprise analytics and reporting.
Medior Data Engineer: Lakehouse & ELT Platform Lead
Build and maintain the data infrastructure (ELT pipelines, lakehouse) that powers pricing engines, forecasts, and AI features using Azure, Databricks, dbt, SQL, and Python.
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 Data Engineer: Modern Data Platform, SQL Server & AI
Senior Data Engineer builds and maintains a modern data platform using SQL Server, Microsoft Fabric, and Databricks to deliver reliable data, reports, and insights for over 600 employees.
Azure Data Engineer – Databricks & CI/CD Specialist
Builds and automates an Azure Databricks-based data platform with CI/CD pipelines for ingesting and transforming data in Azure Synapse.
Senior Data Engineer: Modern Data Platform, SQL, ETL, AI
Senior Data Engineer builds and maintains a modern data platform using SQL Server, Fabric, Databricks, ETL pipelines, and AI integrations to deliver data-driven insights for a 600-person accounting firm.
Data Engineer Dashboards - Power BI & Databricks (ZZP)
Build and maintain Power BI dashboards, process data with Databricks and PySpark, and run SQL queries to deliver sustainability monitoring reports in an Agile team.
AI/Data Engineer (Dutch) — ML, LLMs & MLOps
Build and maintain ML pipelines, integrate LLMs, and deploy models using MLOps on Databricks for an Amsterdam-based AI/data engineering firm.
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.
Senior Azure Data Engineer - Databricks & ETL (Hybrid)
Designs and optimizes Azure-based data pipelines using Databricks and ETL to improve data access and deliver business insights in a hybrid Amsterdam role.
Senior Azure Data Engineer — PySpark & Databricks Expert
Designs and maintains scalable Azure data pipelines with PySpark and Databricks, ensuring high-performance solutions and governance.
Senior Azure Data Engineer: Scalable PySpark & Databricks
Designs and builds scalable Azure data pipelines using PySpark, Databricks, and Azure Data Factory to power enterprise analytics and reporting.
Data Engineer - Smart Charging & Energy Platform (Hybrid)
Build and maintain a scalable data platform for smart charging and energy optimization using AWS, Databricks, Python, and REST/JSON APIs.
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.
Data Platform Engineer
Design and maintain the data platform that ingests high-frequency heat pump telemetry, powers analytics, and enables AI-driven optimizations for energy efficiency and fleet diagnostics.
Senior Azure Data Engineer - PySpark, Databricks & SQL
Designs and builds scalable data pipelines on Azure using PySpark and Databricks to process and optimize client platform performance.
Amsterdam Onsite ML/AI Data Engineer: LLMs & MLOps
Build and scale ML/AI data pipelines and generative AI solutions using Python, SQL, Azure, and Databricks for LLM applications.
Python Data Engineer - Hybrid & Flexible Hours
Builds and maintains scalable Python-based data pipelines and APIs on Azure and Databricks, applying best practices to improve existing codebases.
Data Engineer — Azure/Databricks Platform | Flexible
Build and optimize data pipelines and models for clients using SQL, Python, and Databricks to modernize their data infrastructure.