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Senior SAP Datasphere Data Engineer building data flows, CDS Views on S/4HANA, and leading BW→Datasphere migration for a pharmaceutical client in Warsaw.
Senior Data Engineer building and optimizing Snowflake/Snowpark/dbt data workflows and developing AI/GenAI solutions for a financial-sector client, on a hybrid basis in Poland.
Build and maintain cloud data pipelines, warehouses, and analytics solutions using Azure/GCP/AWS, SQL, PySpark, and BI tools for enterprise clients.
Data Engineer migrating and modernizing data and analytics processes using BigQuery, Dataform, SQL, and Python, with occasional on-site client work in Warsaw.
Mid/Senior Data Engineer at Xebia designing and maintaining scalable GCP/BigQuery data pipelines, building ETL/ELT frameworks, and supporting migration projects using Python, SQL, and orchestration tools like Airflow.
As a Senior Data Engineer, you will design, develop, and optimize ETL/ELT pipelines and data architectures for diverse international clients using Python, SQL, Snowflake, dbt, and orchestration tools like Airflow or Dagster. You will work within a remote-friendly, autonomous team environment focused on delivering high-quality data solutions across cloud platforms.
Senior Data Engineer on a Regulatory Reporting team within an investment bank, building scalable data pipelines and data-driven applications using SQL, Databricks, Python, Spark, and Azure.
Senior PostgreSQL Data Engineer working on a banking application's data warehouse and big data pipelines in a multi-cloud (AWS/GCP) environment, using PostgreSQL, Python, and log analysis.
The Expert Data Engineer will design, develop, and optimize ETL processes and data warehouse solutions using Microsoft SQL Server, SSIS, and Snowflake. The role involves collaborating with cross-functional teams to maintain high-performance data pipelines and database architectures.
Erste Bank Polska is seeking a Data Engineer to develop reporting environments and bridge the gap between business requirements and technical implementation. The role involves collaborating with IT teams to deliver data solutions in a hybrid work model.
This Senior Data Engineer role involves designing and implementing enterprise-scale data platforms and ETL/ELT pipelines on AWS for a global pharmaceutical client. The position focuses on building scalable data solutions, ensuring system performance, and collaborating with cross-functional teams to drive data strategy.
Build and maintain a marketing analytics platform by integrating data sources, ensuring quality, and automating pipelines using Azure Databricks, PySpark, and Power BI.
The Data Engineer will support reporting environments and manage large datasets by translating business needs into technical solutions within a banking context.
The Senior Data Engineer will design scalable data models and build robust ETL pipelines using Databricks and Azure Data Factory. The role involves ensuring data quality and security while collaborating in an international Scrum environment.
Data engineer designing and building cloud-based analytics platforms and pipelines for Procter & Gamble's retail execution, working with Python, Apache Spark, Databricks, and Azure in a hybrid model.
Builds and maintains data pipelines in Microsoft Fabric and Azure for a fintech client, transforming raw data into clean, auditable datasets using PySpark and SQL.
Design and implement data pipelines in Microsoft Fabric using Data Factory and PySpark notebooks for an insurance-industry project, working hybrid from Warsaw on a B2B basis.
Data Engineer designing and implementing data pipelines, PySpark notebooks, and data quality rules on Microsoft Fabric for an insurance-sector project, working hybrid from Warsaw.
Design and build scalable data pipelines on Azure Databricks and related Azure services to support analytics and reporting.
Design, build, and optimize scalable Snowflake data pipelines and multi-cloud solutions (AWS, Azure, GCP) for a pharmaceutical client, using DBT, Python, Tableau, and Terraform.
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