Top Data Engineer Jobs in Warsaw

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.

As a Senior Software Engineer, you'll design and build scalable market data systems, improve API architecture, and enhance overall system performance, contributing to Alpaca's infrastructure for trading financial assets.

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.

Design and implement streaming and batch data pipelines, perform feature engineering and data exploration, build Gold data layer and KPIs, collaborate with business teams to standardize sensor data, and establish production-ready engineering practices (CI/CD, IaC, testing, documentation) for an anomaly detection PoC.

Lead a team of data platform engineers to design scalable data pipelines and analytical workflows while driving architectural decisions and ensuring software engineering best practices.

The Research Engineer will build and scale data infrastructure, architect multi-cluster orchestration, and enhance storage systems for AI training platforms.

Lead data platform governance by defining Policy-as-Code standards, automating checks (Governance-as-Code), auditing platform health and costs, reporting to leadership, and enabling engineering teams on secure, compliant platform usage.

We are seeking a GCP Data Engineer to build ETL/ELT pipelines, maintain dbt models, optimize BigQuery performance, and support data access in an international, remote team.

As a Senior Data Engineer, you'll design, implement, and maintain a Hadoop-based data platform, focusing on data pipelines, collaboration with international teams, and industry standards in data management.

Design and build real-time data pipelines using ClickHouse and Google Cloud. Focus on data quality and optimize financial datasets for analytics.

As a Data Engineer, you will lead the development of scalable data pipelines, manage production datasets, and mentor engineers while collaborating with Data Science and Analytics teams.

Design and build scalable real-time and batch data pipelines for programmatic advertising, ingesting and normalizing SSP/DSP/GAM data, maintaining warehouses, implementing ETL/ELT, ensuring data quality and privacy compliance, and supporting analytics and BI teams.

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

The Senior Data Engineer will design and maintain scalable data pipelines, develop real-time processing systems, and enhance the company's data architecture using AWS and other technologies.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

Develop and enhance BI solutions using SAP technologies, ensuring best practices in performance, data integration, and training users on SAP Data & Analytics.

The Senior Data Engineer will design, maintain, and optimize data pipelines using Azure Data Factory and dbt while ensuring data quality and integrity.

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.

Own and evolve a GCP-native data platform from ingestion to reporting. Lead architecture, reliability, observability, data quality, cost optimization, and AI-assisted engineering practices while mentoring engineers and collaborating with product and customer teams.

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 operate scalable, near-real-time data pipelines and backend services for a global payments platform. Model transactional ledger data for reconciliation, ensure data quality and observability, and own systems end-to-end in a remote-first environment.