Top Data Engineer Jobs in Poland

As a Junior Associate Engineer in Data, you'll design, build, and maintain data systems and pipelines to process and analyze large volumes of data, ensuring data quality and integration from diverse sources, while collaborating with analysts and stakeholders.

The role involves designing, developing, and maintaining backend systems, collaborating with cross-functional teams, and supporting continuous operations and availability of services.

Design and maintain scalable data pipelines, optimize performance, and collaborate with teams to improve data quality and governance.

The Data Engineer will build and maintain data pipelines and transformation workflows, supporting data quality and collaboration across teams using dbt, SQL, and Databricks.

The Data Engineer is responsible for building and maintaining data infrastructure, pipelines, and architectures to support data-driven initiatives, ensuring data integrity and collaboration with stakeholders.

As a Data Engineer, you'll design, build, and optimize data pipelines, collaborate with teams, and ensure data quality and usability for business operations and analytics.

The Senior Data Engineer will design, build, and maintain data systems, pipelines, and infrastructure for data processing and analysis, collaborating with stakeholders and ensuring data quality.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

The Data Engineer will manage deployments of core infrastructure components, contribute to CI/CD pipelines, and support data engineering standards focusing on reliability and scalability.

As a Junior Data Engineer, you'll assist with migration from BigQuery to Snowflake, optimize SQL queries, and ensure data pipeline reliability while collaborating with engineers and analysts.

As a Leading Data Engineer, you will manage a team delivering customer data solutions using Snowflake, ensure platform reliability and compliance, and drive engineering best practices.

As a Data Engineer, you will build and maintain ELT data pipelines, develop dbt models, and work with cross-functional teams to ensure data quality and reliability.

The AI Data Engineer will develop and maintain AI data pipelines, ensure system reliability, and innovate within AI technologies.

The AI Data Engineer will design and build AI data pipelines, ensuring reliability and quality for predictive intelligence in the Large Market Model.

The AI Data Engineer will develop and maintain data pipelines for the Large Market Model, focusing on feature engineering, system reliability, and innovation in AI solutions.

The AI Data Engineer will design and implement workflows for automating data reporting, using AI to enhance the telemedicine platform's analytics.

Design and develop data pipelines and Lakehouse architectures using Azure Databricks, PySpark, SQL, and Azure Data Factory. Ensure data quality and support BI teams.

The Data Engineer will design and develop data pipelines and Lakehouse architectures using Azure Databricks, optimize data transformations, and integrate data from various sources, ensuring quality and performance.

Design, build, and maintain scalable data pipelines on GCP; optimize data models; ensure data quality; support legacy data migration; collaborate with teams; implement monitoring; contribute to data governance best practices.

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

The role involves designing scalable data pipelines and architectures, integrating multiple data sources, and ensuring data quality and governance within the CMDB and Asset Intelligence platform.

As a Data Engineer, you'll design and maintain scalable data pipelines and analytics solutions in GCP, focusing on LLM usage analytics, data transformation, and collaboration with teams to ensure high-quality data processing.

As a Principal Big Data Engineer, you will design scalable solutions, develop data pipelines, create features, and collaborate with various teams to enhance Akamai's data platform.

The role involves designing and implementing large-scale data pipelines on GCP, maintaining production-grade data solutions, and collaborating with engineers on data foundations.

The Data Engineer will design, build, and maintain data pipelines, manage workflows using Apache Airflow, troubleshoot incidents, and collaborate on data delivery and validation processes.