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Lead a large-scale enterprise data platform migration from AWS/Databricks to GCP, designing BigQuery/Dataflow pipelines and mentoring engineers while ensuring data integrity and governance.
Build and maintain ETL pipelines, data quality systems, and new data products using Python, SQL, Spark, and AWS tools to power Leadinfo’s B2B lead-gen platform.
Builds and maintains a modern data platform in Python/PySpark that ingests dozens of sources, transforms data into reliable products, and supports analytics and AI use cases.
Builds and maintains a modern data platform in Python and PySpark, creating robust pipelines and data products that power analytics and AI for a pension provider.
We are looking for a Senior ML / AI Data Engineer to join an innovative team delivering advanced AI and data-driven solutions. This is a fully onsite role in Amsterdam for a Dutch-speaking professional. What You’ll…
Leads Azure data-platform architecture and design for clients, translating business needs into scalable, secure solutions using Azure services like Fabric, Databricks and Purview.
Build and deploy LLM-driven AI/ML solutions for banking and insurance using LLMOps and Azure Databricks, including ML pipelines and ETL workflows.
Designs and builds cloud data pipelines for clients using Azure, Databricks, Snowflake, PySpark, Python, dbt and SQL to turn raw data into insights.
Design and maintain a scalable data platform on Microsoft Fabric, building secure ETL/ELT pipelines with PySpark and Python for analytics and governance.
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.
Build and scale a cloud-native data platform using Databricks, Spark, and AWS to power analytics and ML at a data-driven tech company.
Lead hands-on technical role designing scalable Azure data platforms, setting standards, and mentoring engineers for a consultancy serving finance and logistics clients.
Leads the design and architecture of scalable data pipelines using Microsoft Fabric, PySpark, SQL, and Python to enable AI applications and deliver business value across industries like healthcare, government, and finance.
Senior data engineer builds and optimizes cloud-based data pipelines in Azure for a top Amsterdam sports club, using Python, SQL, PySpark, and Databricks to power data-driven decisions.
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.
Build and maintain ML pipelines, integrate LLMs, and deploy models using MLOps on Databricks for an Amsterdam-based AI/data engineering firm.
Design and build scalable Azure data pipelines using Databricks, PySpark, and Azure services to process and transform enterprise data for analytics and migration projects.
Build and maintain scalable Azure data pipelines using Databricks, Data Factory, PySpark, and Python to power enterprise analytics and reporting.
Design and build scalable Azure data pipelines with ADF, Databricks, and PySpark, plus automate deployments using Azure DevOps and Bicep.
Designs and builds data pipelines on Azure Databricks and Microsoft Fabric, integrating sources with PySpark, SQL, and Python to enable analytics and decision-making.
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