Top Data Engineer Jobs in Poland

The role involves managing and transforming high volume data to solve business issues related to fraud and compliance, using big data technologies while working in Agile sprints and collaborating with various stakeholders.

Design and build analytics-ready datasets, enable self-service semantic layers, translate business questions into metrics, ensure data accuracy and freshness, implement testing and CI/CD for reporting and dashboards across Danaher operating companies.

Develop and maintain data quality rules, conduct code reviews, profile data, resolve production issues, and document work processes. Collaborate with teams across multiple time zones to iterate on rule development.

Develop data quality rules, lead code reviews, profile data, manage dashboards, resolve production issues, and participate in agile scrum meetings. Requires 4+ years of SQL and Databricks experience.

Design and build analytics-ready datasets and lakehouse solutions, enable self-service semantic layers and APIs, ensure data quality and freshness, implement testing and CI/CD, and partner with stakeholders to deliver accurate reporting and dashboards.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

The Senior Data Engineer will develop and maintain scalable data pipelines, model data for analytics, optimize performance, ensure quality, and lead engineering standards.

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

The Data Analytics Engineer will design and maintain data pipelines, automate workflows, develop BI tools, and collaborate with teams to deliver impactful analytics.

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

The Senior Data Engineer will design and maintain data pipelines, ensuring high data quality and performance. Responsibilities include ETL development, data transformation, and documentation.

The role involves enhancing cybersecurity reporting through data analytics, developing ETL capabilities, and collaborating with leaders to create management reports.

The Cybersecurity Data Analytics Engineer will enhance reporting capabilities, develop data pipelines, and partner with leaders on performance metrics in cybersecurity.

Design, build, and maintain backend services and APIs for reporting features, while collaborating with cross-functional teams and mentoring less experienced engineers.

The role involves delivering technologies for measuring cybersecurity performance, developing analytics-ready datasets, and creating reporting capabilities using tools like Power BI and SQL.

Seeking a Senior Data Support Engineer with 5-6 years of experience in Data Engineering, specifically utilizing Snowflake, Python, SQL, and AWS for data manipulation, warehousing, and testing processes.

The Data Platform Engineer will design and implement scalable cloud-based data infrastructure, build CI/CD pipelines, and establish observability for reliable data systems, collaborating with cross-functional teams.

As a Senior Data Engineer, you'll design and build high-performance systems for programmatic advertising, ensuring efficient processing of millions of ad transactions in real-time using AI technologies.

Data Engineers develop complex data pipelines and ETL processes, ensuring high quality and performance. They collaborate with teams, optimize solutions, and provide technical guidance, while documenting processes.

Design and build data architectures and pipelines, optimize data management, collaborate with AI teams, and implement best engineering practices.

Design, build, and maintain backend services and automation for data pipelines and internal tooling. Integrate AI/ML features, own CI/CD and observability, lead code reviews, and collaborate with cross-functional teams to ensure scalable, reliable production systems.

Maintain and expand a high-scale data platform: build and run data pipelines, implement DataOps, collaborate with analytics teams, ensure data quality and security, and design enterprise data models.

As a Python Software Engineer, you'll develop Python frameworks, optimize data processing pipelines, and participate in engineering discussions for NAVBLUE's aviation data analytics solutions.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

Design and maintain data pipelines, ensure data reliability, structure data systems, and manage software development processes while collaborating in a team.