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Senior Data Engineer builds scalable Azure-based data platforms (Databricks, Synapse, Fabric) to turn complex data challenges into reliable, accessible solutions for clients.
Designs and builds cloud-native data pipelines and platforms using Python and SQL to deliver reliable data solutions for leading organizations.
Build and maintain scalable ETL pipelines using Python, PySpark, AWS, and Databricks to process large datasets for enterprise clients.
Designs scalable cloud data solutions on GCP, builds and maintains ML pipelines, and implements CI/CD workflows for a tech company in Amsterdam.
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.
Senior Data Engineer builds and maintains Azure-based data pipelines and cloud platforms using Python and SQL, supporting data migrations and team collaboration.
Designs and optimizes data pipelines using Python, SQL, and cloud infrastructure to turn large datasets into actionable business insights.
Designs and builds Azure-based data lakes and CI/CD pipelines, then creates dashboards using Microsoft’s cloud stack.
Designs and builds scalable Azure data pipelines using Databricks and Data Lake Storage, leveraging Python/Scala to enable analytics and cloud-native data solutions.
Designs and maintains data integration pipelines using Informatica to build and optimize Data Warehouse and Data Lake platforms for enterprise-level analytics.
Designs and optimizes Azure-based data pipelines, collaborating with analysts and DevOps to enhance data infrastructure.
Builds scalable data pipelines and semantic models to feed AI applications like LLMs and agents, using Python, R, and SQL.
Build and optimize cloud data pipelines on AWS/GCP, integrating big-data tools like Spark and Kafka to deliver scalable analytics for Fortune 500 clients.
Leads a team to build and maintain data pipelines and analytics solutions using SQL, Python, and Dbt, enabling clients to make data-driven decisions.
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 advise on scalable data platforms and pipelines for Dutch enterprises using Python, SQL, and cloud tools like AWS/GCP/Azure.
Lead a team to design and modernize a scalable enterprise data platform for a commercial real estate firm, using Redshift, Airflow, Kafka, and PostgreSQL in AWS.
Build and maintain scalable ETL/ELT pipelines in Snowflake using Python, SQL, dbt, and AWS to support enterprise data needs.
Designs and builds data pipelines and ETL workflows for trading data, then models and stores it to support portfolio management, market analysis, and algorithmic trading systems.
Design and build Azure-based data pipelines and dashboards for clients, ensuring data quality and supporting digital transformation initiatives using SQL, Python, and Azure Data Services.
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