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Designs and maintains scalable data pipelines, data vaults, and warehouses to deliver metrics from logistics systems like TMS.
Design and build scalable data platforms, pipelines, and integrations for enterprise clients, focusing on data quality and long-term impact.
Builds scalable data pipelines and infrastructure for AI training, focusing on multimodal data collection, synchronization, and cloud-based delivery to support advanced robotics and Embodied AI systems.
Build and refine Python-based data pipelines to reliably deliver scalable, reusable data for government registries, ensuring high-quality dataproducts for public-sector use.
Designs, builds, and optimizes scalable data platforms and pipelines using cloud tools (Azure/AWS), Python, SQL, and modern data stack (Databricks, Snowflake, Kafka, Airflow).
Build and maintain scalable data pipelines for PPC bidding ML models, ensuring reliable ingestion, transformation, and reporting to drive automated ad-bidding decisions.
Senior Data Engineer builds and optimizes data pipelines, APIs, and infrastructure for a government agency using Scrum.
Designs, builds, and maintains scalable data pipelines and APIs in Python/SQL to integrate energy data for Alliander’s climate-transition projects, deploying on AWS with CI/CD.
Build and maintain scalable data pipelines using Databricks, PySpark, Azure Data Factory, and Python, ensuring data governance and quality for enterprise solutions.
Build and deploy data/AI solutions (e.g., knowledge-graph chatbots) for a government screening agency, working across cloud and on-prem environments while ensuring security and privacy compliance.
Build and maintain scalable data pipelines and transformations that power bidding models, reporting, and analytics for Booking.com’s PPC ecosystem using Python, SQL, and cloud platforms.
Senior Data Engineer builds and optimizes scalable data pipelines in Python, deploys and maintains Kubernetes-based infrastructure, and designs reliable APIs to deliver trusted data products for government services.
Build and maintain scalable data pipelines and APIs in Python using PostgreSQL/Oracle, orchestrate workflows with Airflow/Prefect, and containerize with Kubernetes to deliver reliable dataproducts for the Dutch land registry.
Builds and maintains data pipelines and integrations using Azure Data Factory, Logic Apps, and SQL to ensure high-quality, accessible energy data for the organization.
Builds and maintains scalable data/AI solutions on AWS, including pipelines, cloud infrastructure, and GenAI applications (e.g., LLM-powered tools) for VodafoneZiggo’s internal use, collaborating with AI/ML teams and stakeholders.
Build and maintain a Databricks Lakehouse on Azure that ingests IoT energy data (smart meters, solar, storage) to power analytics and AI for Dutch businesses driving the energy transition.
Build and maintain data pipelines and integrations to make waste, energy, and sustainability data accessible and reliable for HVC’s teams using Azure, SQL, and Microsoft Fabric.
Design and maintain cloud-based data pipelines and services that integrate internal/external systems, enabling analytics, automation, and AI use cases for a global engineering consultancy.
Builds and maintains a data warehouse for a Dutch pharmacy group, integrating external data sources with Python, Airflow, and Superset to deliver business insights.
Build and maintain scalable data pipelines, lakes, and warehouses in Azure, using Python, SQL, and IaC to enable analytics and reporting for clients.
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