Data Engineer, WARSZAWA WARSAW

To work successfully on projects you need:



  • 3+ years of hands-on experience creating and maintaining data architectures, pipelines, and models

  • Proven experience of working with Azure data services—e.g., Azure Synapse, Databricks, Data Factory, Azure SQL, Power BI—to deliver scalable, reliable solutions

  • Proficiency with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for automating deployments and infrastructure changes

  • Familiarity with Agile methodologies (Scrum/Kanban) and ability to maintain clear documentation of processes, sprints, and user stories

  • Basic understanding or exposure to Data Science techniques, including Generative AI concepts, ensuring data readiness for ML/AI workloads

  • Strong communication skills to gather requirements from both technical and non-technical stakeholders and translate them into actionable data solutions

  • Understanding of data governance principles (e.g., privacy, compliance) and security best practices on Azure

  • Ability to monitor and optimize performance of ETL/ELT jobs, storage layers, and analytics workloads

  • At least B1+ level of English


Will be a plus:



  • Experience building or maintaining enterprise-grade data platforms, including cross-cloud integrations

  • Microsoft Certifications (e.g., Azure Data Engineer Associate) or other relevant credentials

  • Experience with Terraform, Bicep, or ARM for infrastructure-as-code

  • Familiarity with containerization and orchestration (Docker, Kubernetes)

  • Knowledge of metadata management and data cataloging tools (e.g., Purview, Collibra)

  • Familiarity with modern AI tools and practical experience applying them to security operations

Requirements: Python, Azure, CI/CD, Agile, Data science, AI, Data governance, ETL, Terraform, Bicep, Docker, Kubernetes
Data publikacji: 2026-05-15
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