Top Data Engineer Jobs in Poland

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.

Join a team to develop and maintain a Customer Data Platform, implementing solutions for data integration, pipeline building, and analytical model creation. Collaborate across teams while utilizing AWS and open-source technologies.

As an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.

The Data Engineer will develop and optimize data pipelines, improve architectural solutions, and collaborate across teams to deliver data-driven insights.

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

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

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.

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

Design, build, and maintain data pipelines using Python, collaborate on scalable data solutions, conduct system analysis, and create documentation.

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

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

Design and maintain data platforms using modern technologies for analytics. Develop scalable data pipelines, ensure data reliability, and implement best practices for data governance and performance optimization.

As an Advanced Data Platform Engineer, you will design scalable data platforms, implement complex data pipelines, and optimize performance using modern technologies like Spark and Delta Lake to enable advanced analytics.

Lead a team of data platform engineers to design scalable data pipelines and analytical workflows while driving architectural decisions and ensuring software engineering best practices.

The Senior Data Protection Engineer will design and implement data protection solutions, manage insider threat detection, and lead data classification efforts, ensuring the security of sensitive data assets company-wide.

The role involves designing and developing complex software features, improving system stability, and integrating AI infrastructure for performance. Requires 8+ years of experience in software engineering.

As a Senior/Expert ML/Data Engineer, you will build data pipelines and ML models, focusing on AI/ML innovations, mentoring, and optimizing data solutions.

Lead the design and implementation of scalable cloud-based data pipelines and architectures, ensuring best practices, compliance, and data quality.

The Senior Data Engineer will design and operate data platforms, focusing on ETL/ELT processes, data quality, and mentoring other engineers.

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 Data Engineer will develop and maintain ETL/ELT pipelines, implement monitoring systems, establish data quality checks, and document data structures.

The Senior Observability Engineer will lead engineering services for the MeshIQ Observability platform, focusing on Data Middleware products, architecture, automation, and performance monitoring.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.