Top Data Engineer Jobs in Poland

The Senior BI Data Engineer at Jamf leads data infrastructure creation, manages analytics projects, optimizes data quality, and enhances data systems, playing a pivotal role in the data landscape to inform business decisions.

The role involves managing and scaling BI data infrastructure, developing data pipelines, conducting data analysis, modeling data, and collaborating with stakeholders.

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.

Develop and maintain data pipelines using Python and SQL, build integrations, manage data storage solutions, and ensure data quality.

As a Data Engineer at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

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

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.

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.

As a Middle Data Engineer, you'll build and manage ELT/ETL pipelines using Snowflake and Airflow, ensuring data reliability while collaborating with BI teams and maintaining data integrity.

The Data Engineer will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.

The Data Engineer will develop, maintain, and optimize data pipelines using Apache Airflow, manage database performance, and support Elasticsearch integration. Responsibilities include building ETL scripts, handling Unix/Linux operations, and implementing CI/CD pipelines in GitLab.

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

Design and lead the development of data infrastructure and pipelines, ensuring operational excellence and data quality while mentoring teams.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

As an Azure Data Engineer, you'll design and implement cloud-native data platforms on Azure, focusing on secure data ingestion, transformation, and storage. You will leverage technologies like Terraform, Docker, and Azure DevOps to build infrastructures and ensure data quality.

The Data Engineer will build a creative intelligence pipeline, connecting ad data to ETL processes, enabling time-series queries, and documenting the setup for handoff.

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

As a Junior Data Engineer, you will support the development of data pipelines, maintain data quality processes, and collaborate with stakeholders to ensure reliable data infrastructure.

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

Design and implement customer data integrations, optimize SQL for analytics, and collaborate with teams to ensure data integration success.

The Senior Software Engineer will develop and optimize GPU and CPU accelerated software libraries, collaborate with teams, and lead technical projects.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The Senior Data Engineer will build scalable APIs, design and maintain ETL/ELT pipelines, and collaborate with ML Engineers to create robust data solutions.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.