Top Data Engineer Jobs in Warsaw

As a Junior Associate Engineer in Data, you'll design, build, and maintain data systems and pipelines to process and analyze large volumes of data, ensuring data quality and integration from diverse sources, while collaborating with analysts and stakeholders.

The Senior Data Engineer will design and maintain data systems, build data pipelines, optimize ETL processes, and ensure data quality, collaborating with various teams to facilitate data-driven decision making.

The Data Engineering Lead is responsible for designing and optimizing data architectures, overseeing data systems, mentoring team members, and ensuring high-performance data processes that align with business goals.

As a Web Scraping Engineer, you will develop tools for processing big and unstructured data, ensuring accuracy and compliance through extensive testing and maintenance of scrapes.

As a Data Engineer, you'll design robust data pipelines, optimize data architectures, ensure data quality, and support analytics efforts while collaborating with stakeholders.

Design and optimize databases and data processing systems, collaborate with developers, gather user requirements, and provide user support.

As a Senior Robotics Data Engineer, you will manage vision system data streams, ensure data quality for AI training, and collaborate on innovative robotics solutions.

Design and develop cloud-based data pipelines, automate testing, and ensure security and performance while collaborating with teams to deliver efficient solutions.

Design and implement scalable batch and streaming data pipelines on Databricks and cloud platforms; build data transformations, CI/CD and MLOps practices; collaborate with data scientists; create data governance, monitoring, and Power BI visualizations; translate business requirements into performant technical solutions.

Build and maintain scalable batch and streaming data pipelines using Databricks, Spark, Airflow/Dagster and DBT; implement CI/CD and DevOps practices; support ML projects and Power BI reporting; translate business requirements into performant data solutions.

Design, build, and maintain scalable data pipelines and platforms for batch and streaming data using Spark, Airflow, Iceberg, and cloud services. Optimize ingestion, processing, and storage, collaborate with stakeholders, monitor platform performance, and write high-quality Python/Java/Scala code to support enterprise reporting and analytics.

As a Data Engineer, you will lead data initiatives, build scalable ETL pipelines, ensure data quality, and collaborate with teams to drive data-driven decisions.

The Senior Data Engineer will design, build, and maintain data systems, pipelines, and infrastructure for data processing and analysis, collaborating with stakeholders and ensuring data quality.

The Analytics Engineer will design and implement data integration solutions (ETL) for data analytics, build data models, and improve data infrastructure.

Design and deliver data solutions including data marts and dashboards, optimizing performance, implementing governance frameworks, and mentoring team members.

The role involves developing software for road features, improving data processing pipelines, monitoring performance, and implementing security best practices.

Design and maintain data pipelines while optimizing data warehouses, collaborating with analysts and scientists, and ensuring data integrity through quality measures.

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.

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.

Develop scalable software, collaborate on design and architecture, conduct code reviews, and mentor new team members in a high-performance environment.

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.