Top Data Engineer Jobs in Krakow

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.

Lead technical delivery of data-driven solutions across the data lake and data center. Design, build, and document full-stack data systems, apply Master Data Management, improve data models, mentor engineers, collaborate with business stakeholders, and drive long-term data infrastructure strategy and operational efficiency.

Design, build, and maintain ETL/ELT pipelines and semantic data models in Microsoft Fabric and Azure. Develop complex SQL solutions and DAX logic for Power BI reporting. Implement CI/CD and DevOps practices, monitor and optimize pipeline performance, ensure data quality and governance, and collaborate with international stakeholders on data architecture and analytics solutions.

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

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

Design, build, and operate enterprise reporting and analytics platforms. Create scalable ELT/ETL pipelines, master data foundations, and lakehouse/warehouse semantic models. Deliver Power BI datasets and dashboards, implement data quality, governance, DevOps practices, and cost-management data solutions. Partner with finance and stakeholders and provide technical leadership across architecture, deployment, and run-state support.

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.

Build, maintain, and scale ELT data pipelines and dbt models on Google BigQuery. Write Python for data processing, ensure data quality, monitor pipelines, collaborate with analytics/product/game teams, and contribute to data architecture in a fast-paced startup.

Design, build, and maintain ELT pipelines; develop, test, and document dbt models; optimize and query Google BigQuery; write Python for data processing; ensure data quality and reliability; monitor and troubleshoot pipelines; collaborate with analytics, product, and game teams and influence data architecture.

Hands-on lead software engineer building scalable, testable data systems and pipelines using Python, Spark and AWS. Drive engineering excellence, influence architecture, coach engineers, and help evolve a modern lakehouse architecture while translating business problems into pragmatic technical solutions.

Design and implement decision-making logic for a price optimizer: translate pricing rules into mathematical models and production-ready Python code, refine simulation and optimization algorithms, validate model behavior using data, and collaborate with architects and data engineers for pipeline integration.

The Technical Support Engineer II will troubleshoot and resolve customer issues related to digital communications systems, while supporting internal/external communication and management of customer expectations.

The Senior Data Engineer will design and evolve the internal Data Platform, focusing on architecture, data engineering, and mentoring while ensuring standards for data quality and governance.

This role supports Supply Chain operations by improving data quality, managing data transformation, and designing data models for visualization.

Build and maintain high-throughput data pipelines, design schemas and data models, implement IaC and CI/CD, collaborate with Data Science/AI on feature stores and MLOps, monitor containerized systems, and advise stakeholders on data architecture.

Build and maintain Python-based data pipelines on Databricks, collaborate with product and domain experts, debug Tier-2 system issues, create documentation and onboarding processes, write integration tests, manage code in GitLab, and improve data quality and self-service tooling.

The Senior Data Engineer will manage data platform architecture in cloud environments, lead ETL processes, and ensure data governance and compliance.

Build and maintain real-time streaming data pipelines and feature stores to power low-latency model inference. Collaborate with ML and AI infra teams on data contracts, observability, and SLAs; drive batch-to-real-time migrations and evaluate emerging streaming/feature store technologies.

Design, build, and own streaming data pipelines and feature stores to enable low-latency inference and real-time model serving. Partner with ML and infra teams to define data contracts, ensure data quality, observability, and SLAs, and move batch pipelines toward real-time production. Evaluate streaming and feature store technologies and contribute to inference pipeline tooling.

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.

Build and operate large-scale data pipelines and orchestration for generative AI research, focusing on video/audio datasets, feature extraction, labeling, and dataset quality to improve model performance.

Design and develop cloud-native backend services in Rust to process terabytes of data daily. Build and operate data-intensive microservices on AWS and Kubernetes, integrate with distributed databases and messaging systems (Kafka/RabbitMQ), and collaborate across teams to deliver observability features.

The Principal Data Science Engineer will leverage statistical analysis and machine learning to optimize airline revenue performance and customer experience, collaborating with teams to develop data models and algorithms, and support product development cycles.

Lead design and delivery of modular, automated, event-driven data pipelines and data models on Google Cloud. Build resilient, testable ETL/ELT processes, embed quality-by-design, coach junior engineers, collaborate with engineering and QA, and ensure data governance and privacy alignment while driving DevOps and IaC adoption across the Data function.

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