Top Data Engineer Jobs in Poland

The Data Engineer will manage a logging infrastructure related to security, assess risks, develop strategies, and communicate security compliance effectively.

As a Junior Associate Engineer in Data, you'll design, build, and maintain data systems and pipelines to process and analyze large volumes of data, ensuring data quality and integration from diverse sources, while collaborating with analysts and stakeholders.

As a Data Engineer, you will enhance the Enterprise Data Hub, support AWS Redshift, and implement data delivery solutions based on business needs.

The Senior Data Engineer will design and develop ETL pipelines, ensure data quality and integration, and mentor junior engineers.

The role involves building and maintaining scalable data systems for analytics, ensuring data quality, and collaborating with teams to optimize data usage.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

Seeking a Senior Software Engineer to design scalable solutions, optimize performance, and collaborate with cross-functional teams to enhance data management and analytics.

The role involves designing ingestion and transformation pipelines, integrating external data, optimizing warehouse performance, and managing secure access to data for analytics.

The Semantic Data Engineer will maintain and enhance RDF models, optimize SPARQL queries, and ensure data consistency while collaborating with backend teams.

As a Data Engineer, you will design and manage telemetry systems, support data pipelines, ensure data integrity, and collaborate with various teams for analytics.

Manage and optimize the database layer, improve SQL performance, and engage with customers to troubleshoot data issues. Requires strong expertise in Microsoft SQL Server and TypeScript.

The Analytics Engineer will design and implement data integration solutions (ETL) for data analytics, build data models, and improve data infrastructure.

As a Data Engineer, you will analyze data, utilize Python and SQL for data extraction and manipulation, and create reports to communicate findings.

The Lead AWS Software Data Engineer will design and develop scalable data pipelines using Python and AWS tools, collaborate with business teams, and enhance data quality and observability while applying modern software engineering practices.

Develop scalable software, collaborate on design and architecture, conduct code reviews, and mentor new team members in a high-performance environment.

Assist in the migration of users from a data analytics platform, providing technical support and collaborating with cross-functional teams. Responsibilities include troubleshooting issues, documenting processes, and contributing to risk tracking.

Responsible for designing and implementing a data and analytics platform, building data pipelines, collaborating on data architecture, and supporting data-driven decision-making in the organization.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

The role involves developing innovative Data & Analytics products, enhancing existing solutions, and creating Tableau dashboards while ensuring data integrity and compliance in collaboration with finance stakeholders.

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

The Senior Data Engineer will design and maintain data systems, build data pipelines, optimize ETL processes, and ensure data quality, collaborating with various teams to facilitate data-driven decision making.

The Data Engineering Lead is responsible for designing and optimizing data architectures, overseeing data systems, mentoring team members, and ensuring high-performance data processes that align with business goals.

The Senior ML Data Engineer will enhance data workflows, collaborate with teams to build datasets, influence data strategies, and implement pipelines for effective data usage in AI/ML products.

The Marketing Data Engineer will architect and build data systems, develop integrations, advance analytics, automate workflows, and ensure data quality.

The AI/NLP/Data Engineer will develop ML and AI models, enhance NLP systems, and build supporting infrastructure while collaborating with teams on deployment and documentation.