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Senior Data Engineer builds scalable Azure Databricks pipelines with Python, Spark, dbt, and Azure Data Factory to deliver clean, governed data for analytics and reporting.
Build and maintain an AWS-based lakehouse, design PySpark ETL/ELT pipelines, and implement Airflow/IaC workflows to power AI-driven decisions for 30,000+ retailers.
Builds and optimizes cloud-based data pipelines and architectures using Databricks, Snowflake, and Microsoft Fabric to deliver reliable, scalable data solutions for analytics and AI.
Senior Data Engineer building cloud-based data platforms for logistics and mobility clients using Python, SQL, Azure, and Databricks to optimize supply chains, route planning, and real-time tracking.
Design and model Oracle-based data architectures, migrate legacy systems to cloud, and enforce data governance and quality for a 6-month contract in Amsterdam.
Build and maintain scalable ETL/ELT pipelines in Snowflake using Python, SQL, dbt, and AWS to support enterprise data needs.
Leads the design and build of scalable data platforms, ETL pipelines, and cloud-based data warehouses for clients in finance, healthcare, and retail.
Senior Data Engineer builds and maintains scalable medical data pipelines and cloud infrastructure to support clinical care and research, ensuring privacy and quality in a healthcare setting.
Designs and builds scalable cloud-native data platforms and pipelines for healthcare clients, using Azure/AWS/GCP, Databricks, Airflow, and Kafka to enable secure, compliant analytics and governance.
Design and build scalable data pipelines and modern data platforms for clients, using cloud tools, SQL, Python, and dbt to enable analytics and AI-driven solutions.
Designs and maintains ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake, deploying solutions via CI/CD with Azure Data Factory and SQL.
Designs and builds end-to-end data pipelines, cloud data platforms, and automated ELT processes for clients, ensuring scalable, secure, and high-quality data architectures.
Build data pipelines and ML models to predict rail maintenance needs, improving reliability for public transport systems using Python, SQL, and Kubernetes.
Designs and builds scalable ETL/ELT pipelines and data models using Python, Spark, and Kafka to support data architecture and governance in a federated environment.
Designs and builds end-to-end data solutions using Microsoft Fabric, Databricks and Snowflake to create scalable, secure data architectures for Dutch clients.
Build cloud-native data pipelines and platforms for AI products using Python, SQL, Airflow, and GCP, processing billions of records to feed ML models.
Build and maintain secure, scalable medical data pipelines and cloud infrastructure to power healthcare research and AI-driven insights while ensuring privacy and regulatory compliance.
Senior Data Engineer builds scalable pipelines and data products for the energy transition using SQL, Python, and Azure tools like Databricks and Delta Lake.
Senior Data Engineer builds scalable, reliable data platforms and pipelines in cloud environments for mobility, energy, and finance clients, using Python, Spark, Airflow, and cloud tools.
Build and optimize scalable data infrastructure, ETL/ELT pipelines, and microservices to transform raw data into actionable insights for enterprise clients using Python, SQL, cloud platforms, and big data tools.
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