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Data Engineer - Informatica (PowerCenter / DEI / IDQ)
Designs and maintains ETL pipelines using Informatica PowerCenter/IDQ/DEI, integrating data across BigQuery, Cloudera/Hive, and SQL Server.
Data Engineer - Informatica (PowerCenter / DEI / IDQ)
Design and implement ETL pipelines using Informatica PowerCenter/IDQ/DEI to integrate and process data for enterprise clients, primarily in finance or insurance sectors.
Data Engineer - Informatica (PowerCenter / DEI / IDQ)
Build and maintain ETL pipelines using Informatica PowerCenter/IDQ/DEI to integrate and transform data for enterprise clients, primarily in finance and insurance sectors.
Data Engineer (m/f/d)
Build and maintain data pipelines, clean and provision data, and develop ML algorithms using Python, SQL, Spark, and Kafka to extract business insights.
Data Engineer (m/f/d)
Design and scale data pipelines, ensure data quality, and develop ML algorithms to extract business insights for a European retail group.
Informatica Data Engineer - ETL & BigQuery | Remote
Designs and maintains ETL pipelines using Informatica tools and works with BigQuery and SQL Server to process and transform data.
Data Engineer (ETL/SQL/BI)
Build and optimize T-SQL ETL pipelines and Power BI dashboards to deliver data-driven insights for a fintech company in Madrid.
Data Engineer Azure / Databricks
Build and optimize scalable ETL/ELT pipelines on Azure Databricks using PySpark, Delta Lake, and Unity Catalog to integrate diverse data sources for enterprise clients.
Data Engineer (with Microsoft Stack)
Build and maintain data pipelines using Microsoft’s stack (Azure Data Factory, Synapse, Fabric) to integrate and transform data for analytics and AI solutions.
Data Engineer: Informatica & Cloud Data Flows
Builds and validates scalable data pipelines using BigQuery, Cloudera/Hive, and SQL Server to integrate reliable financial or insurance data.
Data Engineer: Informatica & Cloud Data Flows
Builds and validates data pipelines using BigQuery, Cloudera/Hive, and SQL Server to ensure reliable, scalable data integration for digital transformation.
Data Engineer - Marketing & Communication Domain
Build and maintain large-scale data pipelines for a top European loyalty app, enabling AI-driven customer segmentation and personalized marketing campaigns.
Data Engineer (m/f/d)
Build and maintain scalable data pipelines and ML algorithms using Python, Spark, Kafka, and SQL to deliver business insights and drive digital transformation.
Senior PySpark Data Engineer - Remote & Cloud Big Data
Senior PySpark Data Engineer builds and optimizes cloud-based big data pipelines using PySpark, AWS/Azure, and SQL Server for a global IBM subsidiary.
Data Engineer (Graduate Program) (Barcelona)
Build and maintain databases, integrate data sources, and ensure analysts have clean, reliable data for insights using SQL, NoSQL, and Python.
Data Engineer (Professional Level)
Designs and builds data pipelines using Microsoft Azure Synapse, Databricks, and SQL Server to process and model data for analytics and reporting.
Data Engineer - Marketing & Communication
Build and maintain large-scale data pipelines for a top European loyalty app, enabling AI-driven customer segmentation and personalized marketing campaigns.
Senior data engineer
Senior data engineer building and maintaining ETL pipelines, data warehouses, and analytics models using Airflow, PostgreSQL, Azure, and GCP for a Valencia-based agency.
PySpark Data Engineer
Senior PySpark Data Engineer builds and optimizes data pipelines in cloud environments (AWS/Azure) using PySpark, Hadoop, and SQL Server for clients across industries.
Azure Data Engineer
Build and optimize Azure-based data pipelines and architectures, implementing scalable cloud solutions with Azure Data Factory, Databricks, and PySpark.