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Build and maintain Azure-based data platforms with Microsoft Fabric and PySpark pipelines for a European remote team.
SoftServe is looking for a Senior Data Engineer to develop and optimize scalable batch and streaming ETL pipelines using the Databricks Lakehouse platform on Azure. The role involves designing data processing solutions with PySpark, Python, and SQL while managing cluster configurations and data governance via Unity Catalog.
The Senior Data Engineer will design and maintain enterprise-scale data solutions for the financial sector using Python, PySpark, SQL, and Google BigQuery. This is a hybrid role based in Warsaw requiring collaboration on data pipelines and CI/CD processes.
The Data Engineer will design and implement data pipelines and PySpark notebooks within Microsoft Fabric for an insurance industry client. The role focuses on data integration, quality validation, and performance optimization while adhering to strict security and privacy standards.
Builds scalable data pipelines and infrastructure for an e-commerce client using Python, JVM, PySpark, and SQL to automate tooling and support data-driven products.
Design and maintain data solutions in Microsoft Fabric, building architectures with OneLake, Lakehouse, Data Warehouse and Data Factory, implementing Medallion architecture and star models using PySpark, T-SQL, and Delta Lake.
This Data Engineer role involves designing and implementing data pipelines using Microsoft Fabric, PySpark, and SQL to support analytics and data integration. The position requires experience with cloud data platforms and a focus on data quality, CI/CD, and performance optimization.
The Data Engineer will work on a financial infrastructure project, assessing existing applications and collaborating with architects to design target data architectures and models using Python and PySpark.
The Senior Big Data Engineer will design and maintain scalable batch and streaming ETL pipelines on the Databricks Lakehouse platform within Azure environments. The role involves optimizing data processing, implementing data governance with Unity Catalog, and collaborating with stakeholders to deliver production-ready data solutions.
The Data Engineer will design and implement data pipelines using Microsoft Fabric, Data Factory, and PySpark notebooks. The role involves onboarding data sources and performing technical data validation in a hybrid work environment.
The Data Engineer will build data pipelines using Microsoft Fabric, Data Factory, and PySpark, while managing data onboarding, transformation, and validation. The role involves implementing CI/CD practices and collaborating with risk teams to ensure data compliance in a hybrid work environment.
Build and maintain cloud data pipelines, warehouses, and analytics solutions using Azure/GCP/AWS, SQL, PySpark, and BI tools for enterprise clients.
Build and maintain a marketing analytics platform by integrating data sources, ensuring quality, and automating pipelines using Azure Databricks, PySpark, and Power BI.
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.
Senior Data Engineer on a 100% remote AML project for a financial-sector client, building and migrating ETL pipelines and data architectures using Python, SQL (Teradata), and PySpark/Databricks.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and platforms using Python, PySpark, and GCP technologies. This role involves collaborating with cross-functional teams to automate data processes and implement modern software engineering practices.
The Data Engineer will migrate and modernize ETL processes and Oracle data structures to Azure using Microsoft Fabric. The role involves building analytical models in PowerBI, optimizing performance, and maintaining data pipelines.
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