Top Data Engineer Jobs in Poland

Design, build, and maintain scalable data pipelines. Optimize performance, oversee cost management, and ensure data quality while collaborating with teams.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

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

The DataOps Engineer will build a modern data platform focusing on infrastructure, automation, and observability, supporting data systems for banks and fintechs.

Lead and mentor the data engineering team while overseeing data pipelines, models, and governance to ensure scalable and compliant solutions.

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

The Senior Data Engineer will design and implement batch and streaming data pipelines, evolve AWS data lake architecture, and mentor peers while ensuring optimal performance and cost efficiency.

The Data Governance Developer will develop DQ rules, support data quality programs, conduct data profiling, and manage QA processes across various regions.

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

The Data Engineering Application Engineer manages Network Control projects, implements data handling solutions, configures databases, analyzes customer data, and supports technical issues with a focus on customer satisfaction.

As a Senior Software Engineer, you will develop and maintain data recovery software, contribute to design and architecture, and implement testing procedures.

The Senior Data Engineer will redesign and simplify the data warehouse infrastructure, improve system stability, optimize data pipelines, and oversee infrastructure performance. Responsibilities include conducting audits, making architectural proposals, and supporting ML/AI workflows.

Design and maintain data platforms using modern technologies for analytics. Develop scalable data pipelines, ensure data reliability, and implement best practices for data governance and performance optimization.

As a Senior Data Engineer, you'll design and maintain data pipelines and infrastructure for analytics and operational systems, ensuring reliable data delivery and supporting strategic growth.

Design and maintain big data architecture, implement data processing pipelines using Kafka, optimize search capabilities, and ensure system reliability.

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

Lead a team of data platform engineers to design scalable data pipelines and analytical workflows while driving architectural decisions and ensuring software engineering best practices.

Design and maintain data pipelines and ML systems, implement MLOps practices, and collaborate with teams to address client challenges in AI and data projects.

The Junior Big Data Engineer will assist in building and maintaining scalable data pipelines in a supportive team, focusing on ETL workflows and collaborating with data scientists.

The Senior Data Engineer will optimize data integrations for Retail, design ETL workflows, enhance BigQuery performance, and maintain data quality in a collaborative, growth-driven environment.

Develop and deliver data pipelines, manage deployments, ensure data quality, and support troubleshooting within the data delivery team.

As a Software Senior Principal Engineer, you will design and develop complex systems, contribute to software specifications, and implement test strategies for storage solutions.

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

The Data Quality and Governance Developer will develop and implement data quality rules, support the JLL Data Quality Program, and resolve production issues. Responsibilities include data profiling, code reviews, and participation in agile methodologies.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.