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Design and build modern data platforms using Microsoft Fabric and Azure services, guiding clients in cloud-native analytics and robust architecture.
Build and maintain a modern data platform using Databricks and SAP tools to power dashboards, reports, and AI initiatives for a wholesale distributor.
Builds scalable cloud data pipelines and AI-ready datasets using Python, PySpark, dbt and SQL for healthcare, government and finance clients.
Design and build cloud-native data pipelines and infrastructure to support AI/ML features, ensuring data quality and efficiency while collaborating with Data Scientists and Engineers.
Build and maintain ETL pipelines using Python, SQL, PySpark, and AWS for enterprise clients in a remote role focused on Databricks.
Design and optimize Azure-based data pipelines and analytics using Databricks to deliver business insights and improve operational efficiency.
Builds and maintains a scalable data platform for PLUS Retail, ensuring reliable data access for BI and internal teams while translating business needs into solutions.
Build and maintain an Azure-based audit data platform using Synapse pipelines and a data warehouse to enable scalable, reusable audit data solutions for risk-driven audits.
Design and maintain cloud data pipelines using Databricks and Python on Azure or AWS, optimizing ETL/ELT processes for scalable, reliable data platforms.
Build and maintain data pipelines and models in PostgreSQL to support trading analytics, using Python, SQL, ETL, and Qlik Sense dashboards for market analysts.
Builds and maintains data pipelines for procurement finance systems, ensuring data integrity and enabling reporting and planning in a multinational finance team.
Builds and optimizes cloud-based data platforms and pipelines for enterprise clients using AWS, Azure, or GCP, integrating data sources and collaborating with analysts and developers.
Builds and maintains secure, scalable ETL/ELT pipelines in Python, Spark, and Kafka to support NATO’s federated data-sharing and governance needs.
Leads Azure-based data pipelines and cloud projects using Databricks, Data Factory, Data Lake, and Synapse, while mentoring junior and mid-level engineers.
Designs and maintains scalable data pipelines and solutions using SQL, NoSQL, Azure Data Factory, and Python for production environments.
Senior Data Engineer designs and builds scalable cloud data platforms and pipelines in Amsterdam, ensuring security and reliability while collaborating with client teams.
Build and maintain data pipelines using dbt to support analytics and reporting in Amsterdam.
Senior Data Engineer builds and secures a medical data platform, designs ETL/ELT pipelines, and implements AI features while ensuring privacy and compliance in a cloud environment.
Lead a small team to design, build, and maintain scalable data platforms and analytics pipelines in Amsterdam, collaborating with data scientists and stakeholders.
Designs and builds the data infrastructure that feeds and governs AI models and tools, ensuring secure, scalable, and reliable data pipelines for enterprise use.
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