Top Data Engineer Jobs in Poland

The Lead Data Engineer will architect and maintain data pipelines, optimize SQL Server models, develop Python scripts, and mentor junior engineers, ensuring efficient and scalable data workflows.

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.

The Senior Data Engineer will design and implement scalable data pipelines, collaborate with teams to ensure data quality, and mentor less experienced engineers, focusing on machine learning and performance optimization.

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 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.

Lead architecture and hands-on implementation of a cloud-native, distributed enterprise platform. Design scalable data services, APIs, orchestration, and CI/CD/infrastructure-as-code. Drive Kubernetes-based deployments, observability, and developer tooling while mentoring engineers and aligning architecture with business goals.

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 implement data-aware full-stack systems: authenticated Next.js/React frontends, FastAPI backends, secure OAuth2/OIDC access, data integrations, PoCs to production, infra-as-code on AWS, and tooling to enable data scientists and analysts.

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.

Design, build, and maintain complex data pipelines and ETL processes; collaborate with product, design, and data science teams; ensure performance, quality, testing, documentation, and mentor junior engineers.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

As a Senior Software Principal Engineer, you'll design software architectures, lead replication feature development, and integrate AI tools while mentoring peers and influencing technical direction.

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

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 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.

As a Software Engineer Intern, you will design, develop, and test web applications, contribute to research, and collaborate in an Agile team.

The Senior Data Engineer will design and maintain data pipelines, ensuring high data quality and performance. Responsibilities include ETL development, data transformation, and documentation.

The Software Engineer will build scalable, distributed data infrastructure, lead cross-functional initiatives, and contribute to open-source communities.

The Software Principal Engineer will develop data recovery software, design new features, create documentation, and debug issues in a team-oriented environment.