Top Data Engineer Jobs in Warsaw

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

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

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

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, develop, and optimize Informatica PowerCenter mappings, workflows, and PowerExchange integrations across Oracle, DB2, Snowflake, Linux, and mainframe systems. Perform SQL/PLSQL development, database and ETL performance tuning, shell scripting for automation, and support production operations and incident management while translating business requirements into scalable data integration solutions.

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.

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 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.

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 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.

Build, maintain, and scale ELT data pipelines and dbt models on Google BigQuery. Write Python for data processing, ensure data quality, monitor pipelines, collaborate with analytics/product/game teams, and contribute to data architecture in a fast-paced startup.

Design, build, and maintain ELT pipelines; develop, test, and document dbt models; optimize and query Google BigQuery; write Python for data processing; ensure data quality and reliability; monitor and troubleshoot pipelines; collaborate with analytics, product, and game teams and influence data architecture.

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 design and maintain data models, develop BI solutions, integrate data, and optimize data flows while collaborating with stakeholders.

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

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.

This role supports Supply Chain operations by improving data quality, managing data transformation, and designing data models for visualization.

Design and maintain scalable data pipelines, optimize performance, and collaborate with teams to improve data quality and governance.

Build and maintain Python-based data pipelines on Databricks, collaborate with product and domain experts, debug Tier-2 system issues, create documentation and onboarding processes, write integration tests, manage code in GitLab, and improve data quality and self-service tooling.