Top Data Engineer Jobs in Poland

Design, build, and maintain data pipelines and ETL processes; model and optimize data storage; ensure data quality and governance; collaborate with data scientists and analysts to deliver analytics-ready datasets and document data systems.

As a Data Engineer, you will develop and support big data processing pipelines, build cloud-based infrastructure, and provide visualization solutions for data assets.

As a Data Engineer, you will design and maintain data pipelines, automate workflows, and resolve issues in complex systems. You will collaborate with teams to enhance operational efficiency and ensure data accuracy.

As a Data Engineer, you will develop and optimize data pipelines, implement advanced analytics, and collaborate with stakeholders to enhance data systems.

Design and maintain scalable data pipelines, optimize performance, and collaborate with teams to improve data quality and governance.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

Develop and maintain a Customer Data Platform (CDP) by implementing, configuring, and integrating various data sources and analytical models in AWS.

Lead the design and optimization of scalable data solutions, overseeing data quality, mentoring team members, and collaborating with cross-functional partners to drive data products and ensure compliance with data regulations.

As a Data Engineer, you will enhance our data platform, build scalable architecture, optimize data transformations, and ensure data governance across teams.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

As a Senior/Expert ML/Data Engineer, you will build data pipelines and ML models, focusing on AI/ML innovations, mentoring, and optimizing data solutions.

Develop AI-powered data mapping recommendation platform, automate data extraction and validation, build scalable data pipelines, and manage data governance.

As a Data Engineer II, you will design scalable data pipelines in AWS, develop SQL transformations, and enhance MLOps workflows, focusing on analytics and machine learning initiatives.

The Senior Data Engineer will design RESTful APIs, contribute to targeting and segmentation pipelines, ensure system stability, and innovate in Data Platform architecture.

Design, build, and maintain scalable GCP data pipelines and ETL/reverse ETL processes using Dataflow, Dataform, and BigQuery. Develop secure APIs for ingestion, optimize data models and Datastream integrations, implement monitoring, and ensure GDPR/CCPA-compliant data governance for player analytics and fraud detection.

The Data Engineer will build and maintain ETL pipelines, develop data workflows, ensure data quality, and integrate systems within a cloud environment.

The Junior Big Data Engineer will assist in building and maintaining scalable data pipelines in a supportive team, focusing on ETL workflows and collaborating with data scientists.

The role involves designing and developing complex software features, improving system stability, and integrating AI infrastructure for performance. Requires 8+ years of experience in software engineering.

As a Software Senior Engineer, you will develop software features, troubleshoot existing components, and optimize algorithms while integrating AI frameworks.

As a Senior Software Principal Engineer, you'll design software architectures, lead replication feature development, and integrate AI tools while mentoring peers and influencing technical direction.

Design and implement data systems for investment decisions, integrate data from multiple sources, and build robust data pipelines.

The Junior Python Software Engineer will develop data pipelines, write Python code, and master the Skywise data platform, contributing to aviation data analytics.

As a Python Software Engineer, you'll develop Python frameworks, optimize data processing pipelines, and participate in engineering discussions for NAVBLUE's aviation data analytics solutions.

The Data Governance Developer will develop DQ rules, support data quality programs, conduct data profiling, and manage QA processes across various regions.