Top Data Engineer Jobs in Krakow

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

The Senior Data Science Engineer will architect software solutions, drive AI research, design AI systems, and mentor junior engineers while focusing on innovative solutions in the travel domain.

The Data Engineer will design and implement scalable data solutions, optimize ETL processes, and ensure data quality and compliance for a logistics network.

As a Data Engineer at Xebia, you will design and maintain data platforms, implement cloud architectures on GCP, build ETL solutions, and manage data workflows using Apache Airflow and Spark, alongside CI/CD pipelines.

The Data Engineer will design and maintain data pipelines, optimize ETL processes, ensure data quality, and collaborate in an agile environment.

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 Data Engineer, you will architect intelligent data ecosystems, build ETL pipelines, mentor team members, and optimize data processes using AI technologies.

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

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, build, and scale Snowflake-based data products and pipelines using Matillion and dbt. Lead cross-team data initiatives, enforce best practices for modeling, testing, CI/CD, observability, and implement automated data quality, onboarding, and optimization for analytics and AI/ML.

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.

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.

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 Snowflake-based data products and pipelines using Matillion and dbt. Lead complex cross-team data initiatives, set modeling and observability best practices, implement data quality automation, and support cloud data ecosystems for analytics and AI/ML.

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.

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.

Design, build, and scale Snowflake-based data products and pipelines to support AI/ML, dashboards, and cross-OpCo analytics. Lead complex, cross-team initiatives, set data modelling and pipeline best practices, implement automated data quality and observability, and maintain uptime, optimization, and compliance.

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

The Data Quality Automation Engineer defines data quality rules, validates data in Databricks pipelines, monitors transformations, and builds automated quality checks with collaboration among data engineers and analysts.

The role involves designing, building, and maintaining scalable data systems, optimizing data models, writing SQL queries, and ensuring data quality in collaboration with data teams.

The Senior Data Engineer will develop data pipelines, design data models, build ETL/ELT solutions, and implement improvements to the Azure-based Data Analytics Platform.

Seeking a Senior Data Engineer to develop scalable data pipelines, manage AWS data services, optimize ETL processes, and enhance data quality.

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