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Senior Data Engineer with German
Senior Data Engineer builds cloud-based data platforms (Azure/AWS) using SQL, Python, PySpark, and modern warehousing tools to enable data-driven decisions for global clients.
Middle Data Engineer Krakow
Build and maintain scalable ETL/ELT pipelines in AWS/Azure/GCP using Python, Spark, and SQL to power analytics and ML for global clients.
Middle Data Engineer Wroclaw
Build and maintain scalable ETL/ELT pipelines in AWS/Azure/GCP using Python, Spark, and SQL to power analytics and ML for global clients.
Senior Data Engineer: Build Scalable BI Pipelines
Design and maintain scalable data pipelines for a global BI platform using SQL, Databricks, PySpark, and Azure Data Platform.
Data Engineer (K/M)
Builds and maintains dentsu’s Google Cloud-based data platform, writing Python pipelines in Airflow, integrating marketing and semi-structured data, and modeling in BigQuery for analytics and reporting.
Regular Data Engineer | Inetum
Build and maintain scalable data pipelines on Azure using Microsoft Fabric, Databricks, and ETL/ELT tools to support analytics and reporting across finance, sales, and operations.
Data Engineer (Microsoft Fabric)
Build scalable data pipelines and analytics platforms using Microsoft Fabric, Azure, and PySpark to transform enterprise data into actionable insights across finance, sales, and operations.
Senior Databricks Data Engineer
Senior Data Engineer builds and optimizes Databricks lakehouse pipelines in PySpark/Delta Lake, manages Unity Catalog access, and tunes Spark for real-time and batch workloads.
Data Engineer, Databricks on Azure
Build and maintain Databricks pipelines on Azure to process structured and unstructured data, enabling business insights with PySpark, SQL, and cloud automation.
Senior Data Engineer (AI)
Senior Data Engineer builds and maintains data pipelines and infrastructure for an automotive client using Python, AWS, and AI tools like Pyspark and Glue.
Data Engineer (DataBricks) room
Data Engineer builds and migrates AML data pipelines in Databricks using PySpark, SQL (Teradata), and Python to centralize and process financial data.
Senior Data Engineer - Cloud Platform & Pipelines (Hybrid)
Designs and maintains cloud-based data pipelines and warehouses on GCP, using Python, SQL, and Spark to enable data-driven decisions.
Data Engineer (Azure Data Platform)
Design and implement Microsoft Fabric and Azure-based data pipelines, ETL/ELT processes, and AI-driven analytics solutions for enterprise clients.
Data Engineer (Azure Data Platform)
Build and optimize Azure Data Factory/Synapse pipelines and Microsoft Fabric solutions, integrating AI-powered analytics and Power BI models to deliver business insights for clients.
Junior Data Engineer
Build and maintain a modern data warehouse using Microsoft Fabric, process data with Python/PySpark and T-SQL, and collaborate with PowerBI teams and business users.
Senior Data Engineer Krakow
Build and maintain scalable ETL/ELT pipelines in AWS/Azure/GCP using Python, Spark, and SQL to power analytics and ML for global clients.
Senior Data Engineer Wroclaw
Senior Data Engineer builds and maintains cloud-based ETL pipelines and data architectures using Python, Spark, and cloud platforms to power analytics and ML for global clients.
Senior Data Engineer(Databricks)
Design and build large-scale data pipelines on Databricks using Python and cloud-native tools, ensuring secure, scalable data processing for downstream systems and reports.
Data Engineer( Microsoft Fabric)
Build and maintain Microsoft Fabric pipelines and data models using PySpark and Spark SQL, following medallion architecture to deliver scalable analytics solutions.
Senior Data Engineer
Senior Data Engineer builds and maintains ETL/ELT pipelines, data models, and quality checks using AWS, Spark, Python, and Databricks to deliver clean data for analytics and ML teams.