Top Data Engineer Jobs in Poland

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 role involves building and maintaining scalable data systems for analytics, ensuring data quality, and collaborating with teams to optimize data usage.

Seeking a Senior Software Engineer to design scalable solutions, optimize performance, and collaborate with cross-functional teams to enhance data management and analytics.

The Senior Data Engineer will design and develop ETL pipelines, ensure data quality and integration, and mentor junior engineers.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The role involves developing innovative Data & Analytics products, enhancing existing solutions, and creating Tableau dashboards while ensuring data integrity and compliance in collaboration with finance stakeholders.

The Semantic Data Engineer will maintain and enhance RDF models, optimize SPARQL queries, and ensure data consistency while collaborating with backend teams.

The Lead AWS Software Data Engineer will design and develop scalable data pipelines using Python and AWS tools, collaborate with business teams, and enhance data quality and observability while applying modern software engineering practices.

Manage and optimize the database layer, improve SQL performance, and engage with customers to troubleshoot data issues. Requires strong expertise in Microsoft SQL Server and TypeScript.

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

As a Data Engineer, you will analyze data, utilize Python and SQL for data extraction and manipulation, and create reports to communicate findings.

As a Data Engineer, you will design and manage telemetry systems, support data pipelines, ensure data integrity, and collaborate with various teams for analytics.

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.

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.

Design, build, and maintain complex data pipelines and ETL processes; collaborate with product, design, and data science teams; ensure performance, quality, testing, documentation, and mentor junior engineers.

As a Data Engineer II, you'll design and maintain data infrastructure, build data pipelines, and ensure data quality and performance while collaborating with cross-functional teams.

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

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 and implement scalable Databricks-based ETL/ELT pipelines (batch and streaming), build Lakehouse/Medallion data models, develop PySpark/Spark SQL transformations, integrate cloud data sources, apply DevOps/DataOps practices (Git, CI/CD), and collaborate with architects, analysts and data scientists to deliver production-grade data products.

The Data Engineer will design and implement scalable data solutions, optimize ETL processes, and ensure data quality and compliance for a logistics network.

The GIS Software Engineer will architect and implement scalable GIS solutions, collaborate with teams, and monitor production services while ensuring security and performance.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

Assist in the migration of users from a data analytics platform, providing technical support and collaborating with cross-functional teams. Responsibilities include troubleshooting issues, documenting processes, and contributing to risk tracking.