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Build and optimize data pipelines for energy-sector clients, integrating real-time sensor data, open sources, and cloud systems using Python and AWS/Azure/Google Cloud.
Build and maintain data pipelines, ETL scripts, and cloud-based data platforms in Azure to transform raw data into reliable, structured datasets for analytics, dashboards, and AI projects.
Build and maintain scalable data pipelines and analytics solutions for clients in industries like healthcare, logistics, and fintech using Python, SQL, Azure, Spark, and Kafka.
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.
Build Azure-based data pipelines and AI models to optimize energy use, advance cancer research, and deploy computer vision solutions for sustainability and healthcare.
Build and maintain data pipelines for EV charging networks, ensuring reliable data for smart charging and energy optimization using AWS, Databricks, and Python.
Senior Data Engineer builds cloud pipelines to move energy data from on-site systems to the cloud and helps integrate ML models for Ampowr’s Energy Management System.
Builds scalable data pipelines and AI-ready infrastructure for logistics and energy clients using Spark, Fabric, and cloud platforms like AWS/Azure/GCP.
Leads end-to-end data engineering projects, designing scalable ETL/ELT pipelines and cloud-based data architectures while coaching a team of engineers to deliver reliable, high-impact data solutions for enterprise clients.
Build and maintain APIs and databases to process large geospatial datasets, enabling fast, reliable delivery of Earth observation insights for climate and sustainability challenges.
Lead a team of data engineers building industrial AI solutions, balancing hands-on delivery with team development and coaching.
Designs, builds, and optimizes reliable data pipelines and solutions to support energy infrastructure maintenance and digitalization efforts.
Build and maintain scalable, 24/7 data pipelines and analytics solutions for clients in industries like healthcare, energy, and logistics using SQL, Python, Azure, Spark, and Kafka.
Designs, builds, and maintains scalable data pipelines and platforms for energy-transition use cases, integrating IoT, cloud, and enterprise data sources.
Design and build scalable data pipelines and warehouses to track energy-grid performance, using Snowflake, Python, and Tableau to support the Dutch energy transition.
Build and maintain data pipelines and warehouses to collect, process, and serve clean data for analysis, using ETL tools, SQL, and cloud platforms.
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.
Senior Data Engineer builds scalable Microsoft-based data pipelines and lakehouse architectures for enterprise clients across finance, government, energy, logistics, and healthcare.
Build and maintain a data platform that ingests sensor and video data from farms, enabling computer vision models to deliver actionable insights for farmers.
Build and maintain scalable real-time data pipelines and infrastructure using tools like Azure Data Factory and SQL to ensure high-quality data integration for a growing climate-tech company.
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