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Design and implement data governance processes on GCP—including data catalog development, metadata management, data lineage, and data quality frameworks—as part of migrating analytical environments to Google Cloud for a digital services organization.
Data Platform Engineer specializing in Apache Kafka and Java, designing and developing event-driven solutions, working with backend Java/Spring Boot, and integrating with MongoDB and GraphQL.
Designs and implements event-driven services using Apache Kafka and Spring Boot to build modern data platform solutions for European clients.
Sii in Poland is seeking a Senior Data Migration Engineer to join our delivery team focusing on SQL Server to Snowflake migrations for a global client in the tobacco sector. You will contribute to Matillion pipelines,…
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 implement data models and ETL pipelines using Azure Data Factory, Databricks, and Python to support financial data management. The role involves collaborating with cross-functional teams to ensure data quality and performance within an international Scrum environment.
Lead Data Engineer shaping scalable data pipelines for a mobile RPG, ensuring product insights and LiveOps while collaborating with cross-functional teams in Kraków, Poland.
This role involves developing and enhancing a cloud-based risk platform using Java, Spring Boot, and GCP technologies. The engineer will build and maintain scalable data pipelines and microservices while collaborating in an agile environment.
The Data Engineer will work on ETL migration projects to Azure, data modeling, and report creation using PowerBI. The role requires proficiency in SQL, Python, and DAX, and operates in a hybrid model in Warsaw.
The Senior SAP Datasphere Data Engineer will design data flows, create CDS views on S/4HANA, and manage the migration of BW to SAP Datasphere for a pharmaceutical client.
The Marketing Analytics Data Engineer will build and maintain a marketing analytics platform by integrating data sources, developing Power BI reports, and implementing data quality frameworks using Azure Databricks.
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 Junior Data Engineer will develop and maintain data pipelines using Microsoft Fabric and Azure Data Factory. The role involves collaborating on data solutions, troubleshooting processes, and documenting technical specifications.
The Senior BI/Data Engineer will manage ETL migration and modernization, build data models and Power BI reports, and maintain data pipelines within the Azure environment.
The Senior Data Engineer will develop and maintain a central data and analytics platform for the public sector, focusing on BI, data warehousing, integration, and AI projects using OpenShift.
The Data Engineer will migrate and modernize data processes to Google Cloud Platform, utilizing BigQuery, Dataform, and Python. The role involves designing data pipelines and collaborating with cross-functional teams to deliver scalable analytical solutions.
The Senior Snowflake Data Engineer will design and optimize scalable data pipelines across multi-cloud environments to support AI initiatives in the pharmaceutical industry. The role involves building data models, ensuring data governance, and maintaining infrastructure using tools like Snowflake, DBT, Python, and Terraform.
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.
Senior Data Engineer building and optimizing ETL/ELT pipelines using Snowflake and dbt for client projects across various sectors, collaborating with analysts in a distributed team.
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.
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