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Designs and maintains robust ELT pipelines to build datasets for BI, policy analytics, and AI within a municipal government team.
Senior Data Engineer builds and maintains Azure-based ETL/ELT pipelines and data models for an eMobility company, translating business needs into scalable, actionable insights.
Build and maintain Azure-based data pipelines using ADF, Databricks, PySpark, and Azure DevOps to process large-scale datasets and automate ETL workflows.
Build and maintain a modern cloud-based data platform in Azure and Databricks for two fashion brands, designing pipelines, models, and dashboards that drive business decisions.
Design and build scalable cloud data platforms using Azure Databricks, dbt, and Spark; develop ETL/ELT pipelines, data models, and enforce data governance for enterprise datasets.
Builds and maintains scalable, secure data platforms using Azure, Databricks, and Python to power data-driven decisions for clients in energy, healthcare, logistics, and mobility.
Lead a team to design and build scalable data pipelines for healthcare analytics using Python, Airflow/Prefect, dbt, and Databricks, ensuring reliability and governance.
Principal Data Engineer builds scalable cloud-native data pipelines and mentors teams using Python, Spark, Kafka, and AWS, while shaping technical direction for clients.
Build and maintain scalable data pipelines and warehouses in Azure to power dashboards and CPM solutions for childcare and primary education providers.
Build and maintain Python-based backend services and data pipelines that power AI-driven features and analytics for a global travel gift-card platform.
Design and operate Microsoft Fabric-based data platforms, building scalable ETL/ELT pipelines in Python and PySpark to support clean-energy infrastructure analytics.
Build and optimize data platforms and architectures for clients in finance, government, and healthcare using SQL, Python, and ETL tools like Data Factory and Airflow.
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.
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