Top Data Engineer Jobs in Poland

The Senior Data Engineer will design and maintain data pipelines, ensuring high data quality and performance. Responsibilities include ETL development, data transformation, and documentation.

The Software Engineer will build scalable, distributed data infrastructure, lead cross-functional initiatives, and contribute to open-source communities.

The Software Principal Engineer will develop data recovery software, design new features, create documentation, and debug issues in a team-oriented environment.

The Senior QA Engineer develops test strategies, automation, and tools for AI-enhanced software, focusing on data recovery systems and software quality improvement.

Design, build, and maintain backend services and automation for data pipelines and internal tooling. Integrate AI/ML features, own CI/CD and observability, lead code reviews, and collaborate with cross-functional teams to ensure scalable, reliable production systems.

Maintain and expand a high-scale data platform: build and run data pipelines, implement DataOps, collaborate with analytics teams, ensure data quality and security, and design enterprise data models.

As a Senior Data Engineer, you will design and implement core systems for data science, create data platforms and pipelines, and leverage AI solutions to aid data-driven decision making.

Lead the design and delivery of scalable cloud-native data platforms, build pipelines and lakehouses, mentor engineers, contribute to architecture, support pre-sales, and engage with stakeholders.

Develop tools and infrastructure for data analysis, automate systems, ensure trading performance, and support CI/CD workflows in a low-latency trading environment.

The Data Platform Lead will design, build, and maintain the data warehouse for a digital bank, ensuring data quality and compliance.

As a Data Engineer, you will develop and maintain ETL data pipelines, ML data pipelines using Temporal, and backend services in Go while ensuring high performance and reliability.

Develop and manage scalable backend platform for analytical models using Python and MLFlow, ensuring data validation and model traceability while collaborating with teams.

The Data Engineer will focus on infrastructure automation, reliability, and cost optimization. Responsibilities include designing Infrastructure-as-Code, managing CI/CD pipelines, establishing observability standards, and collaborating with teams to improve platform resilience.

Design and maintain data pipelines, ensure data reliability, structure data systems, and manage software development processes while collaborating in a team.

Seeking a mid-level Backend Engineer to design and implement scalable backend services and APIs with a focus on cloud infrastructure and data pipelines.

The Data Engineering Application Engineer manages Network Control projects, implements data handling solutions, configures databases, analyzes customer data, and supports technical issues with a focus on customer satisfaction.

Develop software for risk data pipelines, collaborating with trading teams to manage trade data, improve capital efficiency, and automate operations.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Pre-Sales Engineer will provide technical expertise in AI and data platforms, support clients during pre-sales engagements, and help design AI solutions aligning with business goals.

Design and deploy scalable database solutions, migrate services to Kubernetes, and manage high-availability infrastructure for Telnyx's cloud platform.

As a Staff Data Engineer, you'll design and implement distributed data processing systems, build data pipelines, and optimize performance using various technologies.

Execute manual testing of data pipelines and SQL queries, design automated test cases, collaborate with teams, and ensure data accuracy.

Develop and enhance BI solutions using SAP technologies, ensuring best practices in performance, data integration, and training users on SAP Data & Analytics.

As a Senior Data Engineer, you will design, implement, and maintain a Hadoop-based data platform, build data pipelines, and enhance data strategies while collaborating with an international team.

Join a data transformation project to migrate analytics to GCP, build data architecture, and implement data governance and security. Collaborate with teams and automate operational processes.