Top Data Engineer Jobs in Poland

The role involves building data pipelines, collaborating with stakeholders, and ensuring the delivery of high-quality data for analytics and decision-making.

As an SRE Engineer, you will maintain data analytics platforms, ensuring system reliability, monitoring, and support major incidents while facilitating the transition to Google Cloud.

Design, build, and maintain scalable data pipelines. Optimize performance, oversee cost management, and ensure data quality while collaborating with teams.

Lead and mentor the data engineering team while overseeing data pipelines, models, and governance to ensure scalable and compliant solutions.

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 Engineer will redesign and simplify the data warehouse infrastructure, improve system stability, optimize data pipelines, and oversee infrastructure performance. Responsibilities include conducting audits, making architectural proposals, and supporting ML/AI workflows.

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.

Design and maintain big data architecture, implement data processing pipelines using Kafka, optimize search capabilities, and ensure system reliability.

As a Senior Data Engineer, you'll design and maintain data pipelines and infrastructure for analytics and operational systems, ensuring reliable data delivery and supporting strategic growth.

As a Senior Software Engineer, you will develop and maintain data recovery software, contribute to design and architecture, and implement testing procedures.

As a Software Senior Principal Engineer, you will design and develop complex systems, contribute to software specifications, and implement test strategies for storage solutions.

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.

Design and implement data systems for investment decisions, integrate data from multiple sources, and build robust data pipelines.

Lead design and delivery of Databricks-based Lakehouse solutions and end-to-end data engineering projects. Build and optimize ETL, streaming and batch pipelines, integrate cloud and on-prem systems, mentor team members, support pre-sales, and ensure governance, security, and platform performance.

The Junior Data Processing Engineer will assist in data pipeline operations, troubleshooting, and collaborating with stakeholders while gaining hands-on experience in data processing on Azure.

As a Senior Data Engineer, you'll design scalable ML pipelines, collaborate with teams, ensure data quality, and mentor junior engineers.

As a Senior Data Engineer, you will design and maintain ML applications, manage workflows, build data pipelines, and mentor junior engineers within a global team.

The Data Engineer will construct data pipelines, manage ETL processes, optimize SQL queries, and ensure data integrity, utilizing various tools such as Airflow, Python, and SQL.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.