Top Data Engineer Jobs in Poland

The Senior Software Engineer will lead engineering teams, mentor junior engineers, and ensure system reliability and performance while developing backend services.

The GIS Software Engineer will architect and implement scalable GIS solutions, collaborate with teams, and monitor production services while ensuring security and performance.

Design and operate scalable Java-based backend services, develop APIs, build data pipelines, and collaborate with cross-functional teams for personalized solutions.

As a Flink Data Engineer, you will develop real-time streaming pipelines, upgrade Flink environments, migrate datasets, and ensure data quality through automation and collaboration with teams.

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.

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 Full Stack Data Engineer will design and build scalable data pipelines, optimize Snowflake architecture, develop dashboards and analytics solutions, and collaborate with cross-functional teams to ensure data reliability and meet business requirements.

We are seeking a GCP Data Engineer to build ETL/ELT pipelines, maintain dbt models, optimize BigQuery performance, and support data access in an international, remote team.

The role involves designing, developing, and maintaining backend systems, collaborating with cross-functional teams, and supporting continuous operations and availability of services.

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.

Join Guesty as a Data Engineer to build and maintain scalable data systems, optimize ETL processes, and collaborate across teams for data-driven operations.

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.

Design and implement a scalable data infrastructure, develop data pipelines, and ensure data quality for self-service analytics on an AI-driven SaaS platform.

The Data Engineer will design and maintain data models, develop BI solutions, integrate data, and optimize data flows while collaborating with stakeholders.

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 Production Data Engineer oversees system analysis, strategic partnerships, risk management, and mentorship while ensuring compliance and business impact through technical leadership in data and cloud systems.

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

The Research Engineer will build and scale data infrastructure, architect multi-cluster orchestration, and enhance storage systems for AI training platforms.

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.

The Senior Data Engineer designs and maintains data infrastructures, pipelines, and architectures for data-driven initiatives, ensuring efficient data processing and quality.

Lead data platform governance by defining Policy-as-Code standards, automating checks (Governance-as-Code), auditing platform health and costs, reporting to leadership, and enabling engineering teams on secure, compliant platform usage.

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