Top Data Engineer Jobs in Poland

The role involves creating commerce intelligence solutions using AI to enhance decision-making processes in a digital commerce environment.

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

As a Senior Data Engineer, you will build and optimize data pipelines, enhance AWS data infrastructure, and collaborate with teams to deliver reliable data solutions.

The Senior Data Engineer will develop tools for the Data Platform, maintain streaming data pipelines, support teams, and ensure software engineering best practices.

Analyze user behavior on websites and apps, focusing on KPIs and data visualization. Build dashboards, run A/B tests, and communicate findings to 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.

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.

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

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.

The Senior Data Engineer will develop data pipelines using AWS services, optimize SQL processes, and automate data platform functionalities while ensuring performance and quality standards are met.

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.

The Senior Data Engineer will design and build data pipelines on GCP, ensuring high data quality and reliability for analytics and ML products. Responsibilities include mastering ETL processes, managing workflows with Airflow, and collaborating closely with ML engineers.

The Principal Data Platform Engineer will design and implement scalable data platforms, lead engineering initiatives, mentor teams, and ensure data governance and discoverability.

As a Senior Data Engineer, you will develop and manage ETL/ELT pipelines, integrate data from various sources into Snowflake, optimize performance, and collaborate with teams for data delivery and lifecycle management.

The Lead Data Engineer will develop enterprise-level data pipelines, oversee data lifecycle management, and provide technical leadership while ensuring data security and compliance.

Lead design and implementation of a cloud-native enterprise platform: architect core services, data flows, APIs, and deployment automation. Build scalable distributed systems, improve observability and CI/CD, and collaborate across product and operations to ensure performance, reliability, and security.

Lead architecture and development of scalable, hybrid/cloud-native data security and SaaS platforms. Drive platform vision, mentor engineers, ensure compliance-ready designs, and standardize CI/CD and DevSecOps practices across products.

Lead design and ownership of on‑prem Kubernetes deployment, installers, packaging, and upgrade workflows. Ensure operability, security, and reliability in enterprise and restricted environments while mentoring engineers and partnering with Support.

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

Design, develop, and maintain software for asset monitoring solutions. Conduct code reviews, resolve defects, and collaborate within an agile team.

As a Senior Data Engineer, you will develop data pipelines, design data models, implement ETL solutions, optimize data processes, and work with event-driven architecture in an Azure-based platform.

Design and build analytics-ready datasets and lakehouse solutions, enable self-service semantic layers and APIs, ensure data accuracy and freshness, implement testing and CI/CD for reporting and dashboards, and partner with stakeholders to translate business questions into metrics that drive measurable outcomes.

The Senior Data Engineer will own end-to-end data pipeline work, maintain production pipelines, integrate new data sources, and collaborate with data scientists.

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.