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Senior Data Engineer designs, maintains, and improves the data warehouse and platform, builds secure data pipelines, and enables reliable analytics for dashboards.
Senior Data Engineer builds and maintains secure data pipelines and warehouses for a bank, using Python, SQL, and cloud platforms like AWS/Azure.
Lead a team to design and implement scalable data warehousing and analytics architectures using Snowflake and Data Vault, aligning with business needs and modern cloud platforms.
Designs and maintains Informatica-based ETL pipelines and data warehouses, building scalable pipelines for enterprise analytics and reporting.
Senior Data Engineer builds and maintains scalable Azure-based data pipelines using Databricks, Synapse, and Oracle ERP integrations to power analytics and reporting in Power BI.
Leads the design and implementation of a large-scale data ecosystem, setting architecture and engineering standards to drive business intelligence and data-driven decisions.
Build and maintain GCP-based data pipelines and data lakes for a finance client, using Scala and Spark to industrialize ML/OR models and replace legacy warehousing systems.
Designs and maintains Azure Databricks lakehouse architectures, tuning pipelines and monitoring for 24/7 reliability while collaborating with client teams.
Design and operate Microsoft Fabric-based data platforms, building scalable ETL/ELT pipelines in Python and PySpark to support clean-energy infrastructure analytics.
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.
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