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Build and own the data infrastructure for a risk-detection platform serving e-commerce and logistics, designing pipelines, warehouses, and MLOps to process millions of real-time events.
Build and maintain data pipelines in Python and SQL to integrate and clean datasets for environmental and transport regulators, using PostgreSQL, Airflow, and DuckDB.
Build and maintain Azure Databricks and Microsoft Fabric data pipelines, ETL/ELT processes, and Lakehouse architectures to deliver reliable data for analytics and reporting.
Build and maintain Airflow-based data pipelines and reporting workflows for financial market data in a cloud-native Python/SQL environment.
Build and improve a data foundation for a large retail client, implementing data products, pipelines, and governance to enable a data mesh architecture using GCP, SQL, Python, and dbt.
Builds scalable cloud data pipelines and AI-ready platforms using Python, PySpark, DBT, and SQL, transforming raw data into insights for customers and internal products.
Builds and maintains data pipelines, ETL processes, and data models for a Dutch insurer, ensuring reliable and actionable data for analytics and decision-making.
Designs, builds, and maintains scalable data pipelines and infrastructure to transform raw data into usable datasets for analysis and reporting.
Design and build scalable data platforms using Microsoft Azure, Fabric, and Power BI to deliver analytics and insights for clients.
Build and maintain scalable data pipelines and cloud infrastructure on Azure to deliver clean, reliable data for analytics and decision-making across logistics operations.
Build and maintain data pipelines and ML models in Azure to power flight operations and analytics at a European low-cost airline.
Build and maintain cloud-based data pipelines and transformations using SQL, Python, and tools like Snowflake or Databricks to power analytics and automation for clients in mobility, energy, and finance.
Build and advise on robust data & AI infrastructure, pipelines, and scalable systems for clients, translating business needs into production-ready solutions while collaborating across teams.
Builds scalable data pipelines and cloud-based analytics solutions using Databricks, Snowflake, and Microsoft Fabric to deliver business value.
Build and maintain data pipelines and scalable models that turn raw data into reliable insights for analytics and decision-making.
Builds and maintains scalable data pipelines and infrastructure for a global agri-tech company, integrating IoT and climate data to support analytics and AI-driven solutions.
Builds and migrates Python/PySpark data pipelines on Databricks for corporate credit-risk models, converting SAS code and ensuring data quality and performance.
Design, build, and optimize modern data platforms on Microsoft Azure for leading Dutch organizations, focusing on data ingestion, transformation, modeling, and visualization.
Builds and maintains the back-end of a finance-risk data warehouse, implementing ETL pipelines and datamodels to turn large, complex datasets into reliable reports for regulators and auditors.
Builds and maintains Azure-based data pipelines and platforms for infrastructure companies, ensuring data quality and reliability.
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