Top Data Engineer Jobs in Poland

The role involves developing and maintaining data pipelines and backend APIs using Python, while collaborating with teams to integrate AWS services.

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

Responsible for designing database schemas, optimizing SQL queries, managing cloud data performance, and leading backend development in a microservices environment.

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 Junior Data Processing Engineer will assist in data pipeline operations, troubleshooting, and collaborating with stakeholders while gaining hands-on experience in data processing on Azure.

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

The Senior Data Engineer will design and maintain data pipeline architecture, build ETL infrastructure, and ensure high-quality data for analytics supporting business decisions.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

Lead a data engineering team, develop AI self-service portal and data pipelines, interface with internal teams, and ensure software engineering best practices.

The role involves building and operating scalable distributed systems, developing RESTful services, and supporting data movement needs across Netflix.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

The Senior Data Engineer designs and develops data architectures, optimizes data pipelines, and collaborates with stakeholders to enhance data management practices.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

The Senior Data Science Engineer will develop and deploy machine learning solutions focused on demand forecasting and optimization for a fleet management platform, ensuring reliability and impact, while working with various stakeholders.

As a Senior Data Engineer, you will architect intelligent data ecosystems, build ETL pipelines, mentor team members, and optimize data processes using AI technologies.

The Senior Data Engineer will design and maintain data models and pipelines, ensure data quality, and collaborate with teams to deliver data solutions using Snowflake and DBT.

Design, implement, and deploy ML and AI solutions; architect AI systems; build and oversee data pipelines; collaborate with engineering teams; translate business needs to data problems; present results to stakeholders; follow Agile practices.

Lead design and delivery of end-to-end ML/AI solutions: architect systems, implement and validate models, oversee data pipelines, coordinate cross-functional teams, mentor engineers, liaise with clients, and ensure timely Agile delivery.

As a Lead Python Engineer, you will build a multitenant data platform and data ingestion pipelines on AWS, collaborating with various teams and improving processes.

As a Senior Principal Software Engineer, you will develop data recovery software, integrating AI capabilities, leading technical decisions, and mentoring junior engineers.

The Staff Data Platform Engineer will build and optimize data pipelines, manage data processing workflows, and ensure scalability and reliability of backend platforms using Python, Spark, and Databricks.

Design and maintain scalable data pipelines, improve data processes, collaborate on algorithms, and ensure reliable delivery of internal data products.