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Build and maintain AI-powered data pipelines in a collaborative Agile team using SQL and Snowflake.
Build and maintain Dataiku and Snowflake-based data platforms using Python, SQL, and DataOps to deliver governed AI and analytics for internal teams.
Build and optimize cloud-based data pipelines using Databricks and related tools, managing storage and orchestration for multiple clients.
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 runs tests for cloud-based ETL pipelines, validates data accuracy between sources and targets, and automates checks using Python, PySpark, Pandas, and Azure tools.
Builds and maintains data platforms, creates ETL pipelines, and exposes data via APIs for a product-focused team in the Netherlands.
Build and deploy AI models and data pipelines to optimize media strategies and operations for clients.
Lead a BI development team to design and build data pipelines, warehouses, and analytics solutions for clients using SQL, ETL, ADF, Databricks, and Python.
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.
Build and scale data pipelines for a mobility platform, integrating APIs and creating datamarts for reporting and analytics.
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 builds large-scale data pipelines for a media-tech company using Python, SQL, and cloud platforms, ensuring reliability and observability.
Lead a team building scalable data pipelines and a Customer Data Platform for marketing automation, personalization, and growth at a top Benelux classifieds marketplace.
Lead the design and delivery of modern data platforms using Microsoft Fabric, PySpark, and SQL to build scalable pipelines and enable AI-driven insights for clients in healthcare, government, and other sectors.
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.
Principal Consultant leads the Data Engineering team, designing scalable data pipelines, warehouses, and cloud platforms using Python, Spark, SQL, and Azure/AWS/GCP to deliver end-to-end data solutions for enterprise clients.
Build and maintain automated data pipelines and core data products for a trading firm using Python and big-data tools.
Build and maintain cloud-based data pipelines and architectures for analytics and AI workflows in a consultancy role, primarily remote with occasional on-site client work.
Designs and builds scalable data pipelines to process network data into actionable insights for a telecom company’s mobile network planning.
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