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Data Engineer implements data governance frameworks and automates data quality workflows for clients using tools like Collibra, Python, and SQL.
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.
Build and maintain cloud-native data platforms for clients, using Azure, Kubernetes, Terraform, and ETL pipelines to make data accessible and analytics-ready.
Build and maintain data pipelines and infrastructure for a national healthcare data platform, ensuring reliable, accessible data for policy and research using SQL, Python, and ETL/ELT tools.
Build and maintain scalable data pipelines on Azure to unify marketing, customer, and insurance data for real-time insights and improved customer experience.
Design and maintain scalable data pipelines using AWS, Databricks, and Python to process and integrate healthcare data for analytics and reporting.
Data Engineer to support cloud migrations for a healthcare-focused company, ensuring secure and compliant data handling.
Build and maintain PLUS’s data platform, ensuring reliable, scalable data flows for analytics and BI using SQL, Python, Azure, and Databricks.
Builds scalable data pipelines, integrates sources, and models data for analytics and AI solutions using Python, SQL, and cloud platforms like Azure and Snowflake.
Build scalable data pipelines and platforms for clients, translating complex data into actionable insights while collaborating with cross-functional teams.
Build and maintain the data infrastructure that powers climate-action programs in the Netherlands, designing ETL pipelines, warehouses, and dashboards with SQL, Databricks, dbt, and Power BI.
Build and maintain ETL/ELT pipelines, data models, and a modern data warehouse to deliver reliable, secure datasets that power business decisions at a cash-infrastructure company.
Build and maintain the central data warehouse for a large Dutch mental-health provider, designing ETL/ELT pipelines, T-SQL solutions, and improving data quality to power analytics and AI.
Build and maintain data pipelines, integrate systems, and ensure reliable data flows using Python, Kafka, and cloud tools for analytics and AI-driven insights.
Build and optimize Python/SQL scripts to automate data workflows, integrate SAP systems, and streamline processes for Samsung Electronics in the Netherlands.
Build and maintain data pipelines for enterprise clients using Azure, Databricks, and Power BI to deliver insights and reports that guide executive decisions.
Design and build scalable cloud data pipelines and AI-ready architectures using Azure services to turn raw data into reliable, analytics-ready datasets for ML and decision-making.
Designs, builds, and maintains secure ELT pipelines and data models for municipal data, ensuring high-quality datasets for BI, policy, and AI use cases in a government setting.
Build and maintain cloud-based data pipelines and warehouses for AI-driven marketing analytics, integrating APIs and ETL processes using Python, SQL, and cloud platforms like AWS/GCP.
Build and optimize Azure-based data pipelines and models for a bank’s liquidity and regulatory reporting, ensuring accuracy and compliance in a regulated environment.
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