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Senior Data Engineer builds and maintains the data warehouse and pipelines, ensuring reliable, scalable data flows for analytics and reporting in a Dutch municipal services company.
Designs and maintains Azure Databricks pipelines and lakehouses to ensure reliable, high-performance data platforms for clients, using Python, SQL, and modern data-ops practices.
Build and optimize ETL pipelines, data warehouses in BigQuery, and dbt models for e-commerce clients using Python, Google Cloud, and CI/CD.
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 builds scalable Azure-based data platforms (Databricks, Synapse, Fabric) to turn complex data challenges into reliable, accessible solutions for clients.
Designs and maintains data integration pipelines using Informatica to build and optimize Data Warehouse and Data Lake platforms for enterprise-level analytics.
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.
Design and build scalable data platforms using Microsoft Azure (Databricks, Synapse, Fabric) to turn complex data challenges into reliable, accessible solutions for customers.
Build and maintain Dataiku and Snowflake-based data platforms using Python, SQL, and DataOps to deliver governed AI and analytics for internal teams.
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 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.
Builds and optimizes T-SQL pipelines and Python/Airflow workflows to load and transform banking data into a reliable SQL warehouse for reporting and analytics.
Build cloud-native data pipelines and platforms for AI products using Python, SQL, Airflow, and GCP, processing billions of records to feed ML models.
Senior Data Engineer builds and advises on scalable data platforms, ETL/ELT pipelines, and cloud infrastructure for Dutch clients, using Python, SQL, and cloud tools like AWS/GCP/Azure.
Build and maintain SQL-based data pipelines and models for a 4PL provider, enabling analytics and reporting across global supply chains.
Senior Data Engineer builds and owns the data architecture for a fast-growing startup, designing pipelines, integrations, and AI-enabled workflows in Python, SQL, and Snowflake/BigQuery.
Senior Data Engineer builds and optimizes Azure-based pipelines and warehouses to power Next Sense’s climate-neutral building platform, using Python, Spark, and KQL.
Build and optimize cloud-based data pipelines, warehouses, and streaming APIs for diverse clients, using Python, Spark, and cloud platforms like AWS/Azure/GCP.
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