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Build and maintain data pipelines and models in AWS, integrating sources like SQL Server and Redshift to power BI dashboards and analytics for clients.
Senior Data Engineer designs and optimizes Snowflake-based data pipelines and architectures, ensuring reliable data delivery for teams using SQL, Talend, and data governance practices.
Designs and optimizes ETL pipelines and builds Power BI dashboards to turn raw data into business insights for internal clients.
Designs, codes, and maintains ETL pipelines and data workflows using Python, SQL, and containerization tools like Docker and Kubernetes.
M.C. Engineering Srl Torino, Italia Consulenza Lavoro a distanza Intervallo 25.000,00-40.000,00 EUR all'anno Posizione Cosa farai con noi? Come Data Quality Engineer entrerai a far parte di un importante progetto…
Builds and maintains secure, scalable data pipelines for Roche’s DataOne ecosystem, transforming security telemetry into AI-ready datasets using Python, Snowflake, and dbt.
Build and run end-to-end data pipelines for enterprise clients, designing ETL workflows, cloud data models, and dashboards while mentoring junior engineers.
Build and maintain AWS-based data pipelines that ingest and transform structured data into Redshift using PySpark, SQL, and ETL/ELT tools.
Lead a team building and maintaining Java-Angular microservices, ensuring clean architecture and high-quality deliveries across hybrid Madrid offices.
Consultant builds and maintains data pipelines, warehouses, and catalogs for clients using tools like Talend, Microsoft Fabric, and Azure, while advising on best practices.
Senior Data Engineer builds and optimizes large-scale data pipelines and cloud-based Big Data platforms for a major bank, using Spark, Scala, Python, and cloud tools like GCP/AWS/Azure.
Build and optimize data pipelines, modern data platforms, and real-time integrations using Talend and related tools while advising clients on data architecture and best practices.
Build and maintain scalable ETL/ELT pipelines on Databricks (Spark SQL, PySpark, Scala) to feed reliable, high-performance data for analytics and decision-making.
Build and maintain data pipelines, automate integrations between ERP/PIM/e-commerce and BI tools, and develop Power BI reports for a mid-size industrial company.
Design, build, and maintain SAP BW data models and ETL pipelines to deliver reliable analytics and reporting for a large construction-machinery group.
Designs and maintains cloud data pipelines using Snowflake and Talend, builds data models, and ensures secure, compliant data delivery for business users.
Build and maintain scalable ETL/ELT pipelines on Databricks using Spark SQL, PySpark, and Scala to feed reliable, high-performance data for analytics and decision-making.
Build and maintain cloud-based data pipelines in Python and SQL, design modern data platforms (Data Lake, Warehouse), and ensure data quality and observability for analytics and AI projects.
Build and deliver business-intelligence applications for clients, gathering requirements, writing specs, and developing ETL/data-pipeline solutions using tools like ODI, Datastage, or Power BI.
Design and build large-scale Big Data pipelines and ETL modules using Python, SQL, Spark, and cloud platforms (AWS/GCP/Azure) to process and integrate data for enterprise clients.
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