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Data Governance Engineer
Design and implement data quality solutions using Collibra, Python, and PL/SQL to ensure trusted enterprise data for analytics and reporting in a large multinational organization.
Senior Cloud Data Engineer: Azure & Databricks (12-month)
Design and build scalable Azure and Databricks data pipelines and warehouses, using PySpark, SQL, and CI/CD to modernize enterprise analytics and reporting.
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.
Data & Analytics Engineering Manager
Location: Amsterdam, Netherlands | Salary: €95,000 - €120,000 + Benefits This is an opportunity to lead and shape a modern data and analytics engineering function within a growing, data-driven organisation. You'll…
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.
Data Governance Engineer — Drive Data Quality & Compliance
Advises clients on data governance best practices, automates data processes, and ensures data quality using tools like Collibra.
MarTech Data Engineering Lead (m/w/d)
Lead the build-out of a modern MarTech platform for a bank, defining data engineering strategy, integrating CDPs with CRM/marketing tools, and enabling personalized customer experiences using GCP and event-driven architectures.
Staff Data Engineer: Lakehouse & ML Ops Architect
Staff Data Engineer designs and owns Vandebron’s lakehouse, warehouse, and MLOps platform, setting engineering standards and driving scalable data infrastructure for green-energy analytics.
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.
MarTech Data Engineering Lead (m/w/d)
Lead a team to design and build scalable customer data platforms (CDPs) and integrations for marketing ecosystems, leveraging AI and cloud-based data architectures on GCP.
Senior Azure Data Engineer — PySpark & Databricks Expert
Designs and maintains scalable Azure data pipelines with PySpark and Databricks, ensuring high-performance solutions and governance.
Data Platform Engineer
Build and maintain the internal data platform that ingests, transforms, and delivers marketing data for 200k+ organizations using Python, Kubernetes, Airflow, and AI-assisted tooling.
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.
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.
Data Engineer for NATO with security clearance
Designs and maintains secure, scalable data pipelines and ontologies for a NATO agency using Python, Spark, and Kafka to enable trusted data-sharing in a federated environment.
DN | Data Engineer | Nieuwegein | Consultancy | 90k
Build and maintain scalable data pipelines and cloud-based data infrastructure for clients, transforming raw data into insights using Azure, AWS, Snowflake, and Python.
Amsterdam Data Engineer – Analytics, AI & Governance
Builds and maintains data pipelines, integrations, and governance for analytics and AI workloads using Python, SQL, Kafka, and cloud platforms.