Top Data Engineer Jobs in Poland

Develop and maintain a Customer Data Platform (CDP) by implementing, configuring, and integrating various data sources and analytical models in AWS.

Lead the design and optimization of scalable data solutions, overseeing data quality, mentoring team members, and collaborating with cross-functional partners to drive data products and ensure compliance with data regulations.

As a Data Engineer, you will enhance our data platform, build scalable architecture, optimize data transformations, and ensure data governance across teams.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

As a Senior/Expert ML/Data Engineer, you will build data pipelines and ML models, focusing on AI/ML innovations, mentoring, and optimizing data solutions.

Develop AI-powered data mapping recommendation platform, automate data extraction and validation, build scalable data pipelines, and manage data governance.

As a Data Engineer II, you will design scalable data pipelines in AWS, develop SQL transformations, and enhance MLOps workflows, focusing on analytics and machine learning initiatives.

Design, build, and maintain scalable GCP data pipelines and ETL/reverse ETL processes using Dataflow, Dataform, and BigQuery. Develop secure APIs for ingestion, optimize data models and Datastream integrations, implement monitoring, and ensure GDPR/CCPA-compliant data governance for player analytics and fraud detection.

The Data Engineer will build and maintain ETL pipelines, develop data workflows, ensure data quality, and integrate systems within a cloud environment.

Develop reusable data pipelines, optimize ETL processes, build data integrations, and improve data platform architecture while collaborating with cross-functional teams.

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

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

The Middle Data Engineer will design and maintain data pipelines, manage cloud-based solutions, and resolve data issues while collaborating with teams.

The Data Engineer will build and maintain the data platform, optimize data transformations, implement data governance, and collaborate on data assets to ensure data-driven decision making.

The Senior Data Engineer will develop data pipelines, maintain data products in Snowflake, ensuring data quality, and support the data delivery framework.

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

Design, build, and maintain ETL pipelines, data warehouses, and data models; integrate and monitor data sources; ensure data quality and lineage; collaborate with Data & Analytics stakeholders and provide documentation and training.

As a Data Engineer, you'll build and maintain a scalable data infrastructure using modern tools within an Agile team, impacting Kramp's data-driven future.

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 designing and implementing a data and analytics platform, building data pipelines, collaborating on data architecture, and supporting data-driven decision-making in the organization.

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

The Senior Data Analyst will optimize fleet utilization and operational efficiency by building ETL pipelines and analytical dashboards, managing data platforms, and partnering with stakeholders.

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.