Top Data Engineer Jobs in Poland

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.

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.

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 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 Full-stack Developer will design, maintain data pipelines, develop web frontends for analytics, translate business requirements, and support production troubleshooting. They will work with global teams on data integration and utilize ITSM and DevOps tools.

As a Full Stack Engineer, you will develop features for business data analytics platforms using Java and TypeScript, focusing on high-impact data pipelines and backend services.

The Middle Data Engineer designs and implements data pipelines across multi-cloud environments, develops integration workflows, and collaborates with teams to deliver data solutions efficiently, ensuring data governance and compliance.

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

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.

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

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.

The Data Warehouse Operations Senior Engineer is responsible for monitoring, maintaining, and optimizing the enterprise data warehouse, ensuring ETL stability, performance, and supporting SOX compliance. This role requires collaboration with stakeholders to resolve data integrity issues and manage operational activities.

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 role involves designing, building, and maintaining data pipelines using Python, collaborating with international teams, and managing data solutions on Databricks.

The Data Engineer will design and optimize data pipelines, manage relational databases, and collaborate with data analysts to ensure data accessibility and compliance. Responsibilities include building ETL processes using Python and AWS, maintaining data lineage, and ensuring performance efficiency.

As a Data Engineer, you will build ingestion pipelines, develop applications, support cloud services, and ensure quality engineering in Agile environments.

As a Data Engineer, you will design metrics, build reports, analyze data trends, and collaborate with cross-functional teams to enhance data-driven decision-making.

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.

The Data Engineer will design and maintain data pipelines and infrastructure, support analytics and automation, and collaborate on ML/GenAI projects.

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 Lead Data Engineer, you will design and optimize scalable data solutions, ensure data quality, mentor engineers, and collaborate across teams to deliver impactful data products.