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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.
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 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.
Senior Data Engineer: Azure Platform & MLOps Leader
Builds and maintains Azure-based data pipelines and MLOps workflows using Synapse, PySpark, CI/CD, and IaC to support analytics and platform migrations.
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.
Senior Azure Data Engineer (ID: 3508)
Design and build scalable Azure data pipelines using Databricks, PySpark, and Azure services to process and transform enterprise data for analytics and migration projects.
Senior Azure Data Engineer (ID:3501)
Build and maintain scalable Azure data pipelines using Databricks, Data Factory, PySpark, and Python to power enterprise analytics and reporting.
Senior Azure Data Engineer (ID:3500)
Design and build scalable Azure data pipelines with ADF, Databricks, and PySpark, plus automate deployments using Azure DevOps and Bicep.
Senior Azure Data Engineer (ID: 3907)
Design and maintain Azure cloud data pipelines using ADF, Databricks, and PySpark to process large-scale enterprise data for analytics and BI.
Data Engineer — Azure Databricks & Lakehouse Expert
Designs and builds data pipelines on Azure Databricks and Microsoft Fabric, integrating sources with PySpark, SQL, and Python to enable analytics and decision-making.
Senior Data Engineer (Azure, Databricks & MLOps)
Senior Data Engineer builds and optimizes scalable Azure/Databricks data and ML pipelines for finance and public-sector clients, using PySpark, MLflow, dbt and CI/CD.
Lead Fabric Data Engineer: Architect AI-Data Platformen
Design and build modern data platforms using Microsoft Fabric, develop data pipelines with Python and PySpark, and contribute to AI applications for healthcare and government sectors.
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.