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.

Design, build, and maintain scalable data pipelines, and optimize data transformations. Collaborate with teams on the data lifecycle and ensure data governance and quality assurance.

The Data Engineer will design and maintain data pipelines, optimize performance, enforce governance, and collaborate with AI teams for innovative solutions.

The Credit Risk Data Engineer drives technical activities, ensures compliance of batch engines, and liaises with analysts to implement functional requirements for credit risk models.

The Data Engineer will design and implement data migration solutions, develop pipelines and ensure data quality for audiology solutions.

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.

The role involves designing scalable data pipelines and architectures, integrating multiple data sources, and ensuring data quality and governance within the CMDB and Asset Intelligence platform.

As a Principal Big Data Engineer, you will design scalable solutions, develop data pipelines, create features, and collaborate with various teams to enhance Akamai's data platform.

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.

The role involves designing, building, and maintaining scalable data systems, optimizing data models, writing SQL queries, and ensuring data quality in collaboration with data teams.

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.