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Lead Data Platform Engineer

XebiaUnia EuropejskaUnia Europejska

Źródło:solid.jobs
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano7 sierpnia 2026
Wykryte przez nas
Wykryte przez nas19 września 2026
Zarobki
Zarobki30 200 - 42 000 PLN
Czym będziesz się zajmować? Design and develop tools that standardize, automate, and simplify Data Platform operations. Build internal CLI tools, Data Product templates, and reusable AI automation components. Create Backstage visualizations and operational insights; analyze platform usage, audit, and adoption data. Design Agentic AI workflows, developer-assistance capabilities, and lifecycle management for AI skills. Maintain the Apache Airflow platform on Cloud Composer and build reusable DAG libraries and operators. Develop infrastructure-as-code assets and Terraform modules. Support GitOps adoption with Backstage, GitHub, ArgoCD, and Crossplane. Collaborate with platform, data engineering, analytics, and machine learning teams. Kogo poszukujemy? Key requirements: Strong commercial Python development experience. Hands-on experience with GCP, BigQuery, cloud data platforms, Apache Airflow, and preferably Cloud Composer. Experience with platform engineering, developer tooling, or internal self-service solutions. Knowledge of infrastructure as code, Terraform, GitOps, CI/CD, source control, data engineering, and Data Product lifecycle management. Experience with PySpark or Apache Spark, FastAPI, Pydantic, and Agile development. Strong problem-solving, independent work, communication, and cross-functional collaboration skills. Professional proficiency in Polish and English. Work from the European Union region and a valid work permit are required. Nice to have: Vertex AI or other GenAI platforms, GitHub Copilot, and AI-assisted development solutions. Agentic AI workflows, Backstage plugin development, Dataproc, dbt, Kedro, ArgoCD, Crossplane, observability, telemetry, or platform analytics. Experience in large-scale data environments supporting analytics and machine learning workloads. Czego wymagamy? 5 lat doświadczenia na podobnym stanowisku Znajomości: Python GCP BigQuery Airflow Terraform GitOps Data Engineering IaC Mile widziane: PySpark Fast API Pydantic CI/CD Języki: Angielski Polski Jakie warunki i benefity otrzymasz? 30.2k–42k PLN netto/m (B2B) B2B - Elastyczne godziny pracy (100%) Praca zdalna: W całości Kim jesteśmy? Xebia is a global, award-winning, AI-first consulting, software engineering, and training company. We shape tomorrow with AI today—helping organizations turn AI strategy into production-ready solutions that drive real transformation, faster. Xebia operates as a single global team, designed for speed, scale, and impact, bringing together deep human expertise and the power of AI in everything we deliver. Our flexible delivery model combines client-facing teams in the US and Europe with nearshore capacity across Poland and Latin America, as well as a large-scale offshore hub in India working as a single, integrated network. The result is a sophisticated hybrid model that combines local expertise with global reach. For our clients, this means faster time-to-value, easier access to highly specialized digital and AI talent, and the flexibility to scale solutions at the speed of business. With round-the-clock delivery, built-in scalability, cultural alignment, and a strong focus on attracting and retaining the best global talent, we help global organizations build, scale, and innovate with confidence.

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