Top Data Engineer Jobs in Poland

Design and develop data pipelines and Lakehouse architectures using Azure Databricks, PySpark, SQL, and Azure Data Factory. Ensure data quality and support BI teams.

The Data Engineer will design and develop data pipelines and Lakehouse architectures using Azure Databricks, optimize data transformations, and integrate data from various sources, ensuring quality and performance.

As a Data Engineer, you will enhance our data platform, build scalable architecture, optimize data transformations, and ensure data governance across teams.

The Senior Data Engineer will design and implement data solutions, focusing on scalable data models and pipelines, while collaborating with analytics teams.

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 Data Engineer will design, optimize, and implement data pipelines and solutions using Apache Airflow, Snowflake, and Kafka, ensuring data accessibility and reliability.

Design and maintain data pipelines and ML systems, implement MLOps practices, and collaborate with teams to address client challenges in AI and data projects.

Design, build, and maintain data pipelines and infrastructure while optimizing processes for scalability, ensuring data quality, and collaborating with teams to support business needs.

The Senior Data Engineer will design, build, and maintain data pipelines and infrastructure, ensuring reliability and efficiency across cloud-native solutions and orchestration frameworks.

Design, build, and maintain data pipelines and infrastructure. Optimize processes, ensure data quality, work with cloud solutions, and manage orchestration frameworks.

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

As a Senior Data Engineer, you'll design, implement, and maintain a Hadoop-based data platform, focusing on data pipelines, collaboration with international teams, and industry standards in data management.

The Senior Data Engineer will optimize data integrations for Retail, design ETL workflows, enhance BigQuery performance, and maintain data quality in a collaborative, growth-driven environment.

As a Data Engineer, you will lead the development of scalable data pipelines, manage production datasets, and mentor engineers while collaborating with Data Science and Analytics teams.

This role involves designing and developing a big data processing engine with a focus on ETL pipelines, geo-location analysis, and distributed systems architecture across cloud and on-prem environments.

The Senior Data Engineer will design and optimize ETL/data pipelines, automate workflows, integrate data sources, and translate business needs into data solutions using Azure tools.

The Lead Data Engineer at Roche will design and build scalable data solutions, mentor team members, and ensure high-quality delivery of data engineering projects, while collaborating on AI-enabled ecosystems.

The Data Flow Engineer is responsible for designing, developing, and maintaining complex data flows using Apache NiFi, ensuring reliable and high-performance data movement. Responsibilities include optimizing data pipelines, implementing integrations, enforcing data security, and collaborating with cross-functional teams on requirements and architectures.

The Senior Data Engineer leads teams to deliver data products, oversees data pipeline operations, mentors engineers, and advocates for data-driven decision making.

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 role involves developing and managing a metadata management platform and data quality environment, integrating with various data solutions while ensuring data standards and quality are met.

This role involves designing data architecture, building data transformation pipelines, and maintaining Power BI and Azure solutions. You will ensure data quality and support business intelligence reporting.

The intern will support the development and deployment of data pipelines and AI solutions, collaborate with various teams, and contribute to monitoring capabilities.

The Data Quality Automation Engineer defines data quality rules, validates data in Databricks pipelines, monitors transformations, and builds automated quality checks with collaboration among data engineers and analysts.

The Senior Data Science Engineer will architect software solutions, drive AI research, design AI systems, and mentor junior engineers while focusing on innovative solutions in the travel domain.