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Senior Data Engineer
Senior Data Engineer builds and maintains scalable cloud data pipelines and models for clients in mobility, energy, and finance, using Python, SQL, and cloud stacks like Azure/AWS/GCP.
Senior Data Engineer
Designs and builds scalable data platforms using Azure, Databricks, and Snowflake, focusing on ETL/ELT, data modeling, and DevOps practices to deliver end-to-end data solutions.
Azure Data Engineer
Builds scalable cloud data pipelines and platforms using Azure, Snowflake, Databricks, and Python for healthcare and public-sector clients.
Enterprise Data Engineer
Design and build scalable data pipelines and curated models on Databricks Lakehouse to deliver trusted KPIs and self-service analytics for Finance, HR, and Operations teams.
Senior Data Engineer
Build and maintain scalable data pipelines using Python, PySpark, and SQL, applying software engineering best practices to data architectures in Azure and GCP.
Senior Data Engineer
Build and maintain data pipelines and warehouses for cutting-edge clients using Python, SQL, and cloud tools like Azure Synapse and Databricks.
Lead Data Engineer
Lead a data engineering team to build and maintain Python-based ELT pipelines into BigQuery, design SQLMesh models, and set engineering standards for a modern data stack.
Data Engineering Consultant
Build and optimize data pipelines and architectures for clients, using Python, SQL, and cloud platforms like AWS/Azure to process and integrate data at scale.
Data Engineer, Fraud
Design and maintain scalable data pipelines and storage systems to power fraud detection, analytics, and reporting using Python, SQL, and tools like Airflow and ClickHouse.
Data engineer | Hoofddorp
Build and maintain scalable data pipelines and warehouses for a logistics platform, ensuring reliable data flows for shipping, customer insights, and financial reporting.
Data Engineer (Kubernetes)
Build and deploy cloud-native data platforms on Kubernetes, containerizing workloads and integrating tools like Airflow and Spark while collaborating with data scientists to productionize models.
DATA ENGINEER | RANDSTAD
Build and maintain scalable data pipelines and platforms for enterprise clients using cloud tools (AWS/Azure/GCP), SQL, Python, and orchestration frameworks like Airflow.
Platform Data Engineer
Build and maintain a scalable data platform for a Dutch gambling organization using Azure Databricks, Python, and Spark to enable real-time fraud detection and responsible gaming analytics.
Data Engineer
Design and build scalable cloud data pipelines and platforms using Python, PySpark, DBT, and SQL, transforming raw data into AI-ready insights for healthcare and other sectors.
Data Engineer
Builds scalable data pipelines and models in Snowflake and dbt to power AI and analytics for a Dutch pension provider.
Data Engineer
Build and maintain the data infrastructure that powers climate-action programs in the Netherlands, designing ETL pipelines, warehouses, and dashboards with SQL, Databricks, dbt, and Power BI.
Data Engineer
Build and maintain the central data warehouse for a large Dutch mental-health provider, designing ETL/ELT pipelines, T-SQL solutions, and improving data quality to power analytics and AI.
Data Engineer
Designs, builds, and maintains secure ELT pipelines and data models for municipal data, ensuring high-quality datasets for BI, policy, and AI use cases in a government setting.
Data Engineer
Build and maintain cloud-based data pipelines and warehouses for AI-driven marketing analytics, integrating APIs and ETL processes using Python, SQL, and cloud platforms like AWS/GCP.
Data engineer
Build and optimize scalable data pipelines using Spark, Airflow, Databricks, and cloud-native tools on Azure/AWS to enable advanced analytics for enterprise clients.