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Design and build scalable cloud data platforms using Azure services to enable AI-driven insights and data-driven decision-making.
Builds and deploys AI prototypes, agents, and data pipelines to strengthen internal services, ensuring governance and privacy compliance while collaborating with product and data teams.
Builds cloud-native data pipelines and warehouses in Python/SQL using Airflow, Docker, and cloud platforms to power AI/ML products.
Data Engineer migrating rostering data from an old MPS system to WorkforcePlus using Python scripts, with three go-lives in 7–9 months.
Design and build scalable data pipelines using Databricks, Python, PySpark, and SQL to ingest, transform, and publish data for analytics and operational systems.
Build and maintain cloud data pipelines and warehouses for marketing analytics using AWS/GCP, Python, SQL, and dbt/Dataform.
Builds scalable ETL pipelines in Java/Spark/Flink/Kafka to process large datasets for national security threat analysis.
Senior Data Engineer builds and maintains data pipelines, models, and visualizations for predictive analytics and simulations to support policy and improve services at a Dutch government agency.
Lead the design and migration of Stream’s data platform to Google Cloud, building scalable ingestion pipelines and dashboards while mentoring engineers to deliver trusted datasets globally.
Build and maintain an Azure-based data platform for financial-market supervision using Databricks, SQL and Azure Storage; automate pipelines, ensure data quality and security, and deliver dashboards.
Build and maintain the municipality’s Azure-based data platform and integrate data pipelines to support civic services and reporting.
Senior Data Engineer builds and scales data pipelines using Spark, Databricks, Azure, AWS, Kafka and Snowflake to deliver clean, production-ready data for analytics and AI insights.
Build and maintain Airflow-based data pipelines that ingest financial market data, automate reporting, and deploy across cloud environments using Python, SQL, and AI coding assistants.
Design and build scalable data pipelines on AWS/Azure/GCP to feed AI systems, ensuring high data quality while collaborating with AI specialists and clients.
Designs and maintains Azure-based data infrastructure and builds data pipelines for a consultancy in Utrecht.
Builds and maintains a reliable data platform using Databricks and SAP to deliver clean, analytics-ready data for reporting and insights.
Build and maintain a modern data platform using Databricks, SAP BI tools, and SQL to power dashboards, reports, and future AI initiatives for a wholesale food distributor.
Build and maintain scalable data pipelines for energy-sector analytics using Python, SQL, APIs, and data modeling.
Lead a team of data engineers to design, build, and maintain Azure-based data platforms using Databricks, CI/CD, and Python/SQL.
Build and optimize Azure-based data pipelines and warehouses using Python, while mentoring junior engineers in a collaborative, data-driven environment.
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