Senior Data Platform Engineer - AI-First & Cloud

Xebia Group; Polska; Vor Ort; PLN 180.000 - 320.000; Vollzeit

Zusammenfassung

Xebia Group is seeking a Data Platform Engineer to design and deliver tooling and pipelines on GCP, enabling scalable data products and AI-enabled workflows. You will build internal tooling, templates, and visualizations with Airflow/Cloud Composer, Backstage, and Terraform, while collaborating with data engineering, analytics, and ML teams.

The role requires strong Python, BigQuery, PySpark, and modern tooling expertise, plus fluent Polish and English.

Qualifikationen

• Strong experience with Python development.
• Hands-on experience with Google Cloud Platform (GCP).
• Practical experience with BigQuery and cloud-based data platforms.
• Experience with Apache Airflow, preferably Cloud Composer.
• Experience building platform engineering or internal self-service solutions.
• Knowledge of Infrastructure as Code and Terraform.
• Experience with GitOps and modern software delivery practices.
• Good understanding of data engineering and Data Product lifecycle management.
• Experience with PySpark and/or Apache Spark ecosystems.
• Familiarity with FastAPI, Pydantic, and modern Python tooling.
• Knowledge of CI/CD processes and source control best practices.
• Experience working in Agile development environments.
• Strong problem-solving skills and ability to work independently.
• Effective communication and cross-functional collaboration.
• Proficiency in Polish and English.

Aufgaben

• Design and develop tools that standardize, automate, and simplify Data Platform operations.
• Build and maintain internal CLI tools for platform and Data Product management tasks.
• Develop and evolve Data Product templates based on modern data engineering practices.
• Design and implement visualizations and operational insights within Backstage.
• Collect and analyze platform usage metrics, audit data, and adoption statistics.
• Design and implement Agentic AI workflows and developer-assistance capabilities.
• Develop reusable AI skills and automation components to standardize data products.
• Create mechanisms for distribution, lifecycle management, and monitoring of AI skills.
• Maintain and enhance a shared Apache Airflow platform (Cloud Composer).
• Build reusable libraries, operators, and components for Airflow DAG development.
• Develop and maintain infrastructure-as-code assets and Terraform modules.
• Contribute to GitOps adoption initiatives using Backstage, GitHub, ArgoCD, Crossplane.
• Collaborate with platform, data engineering, analytics, and ML teams to improve usability and efficiency.

Kenntnisse

Python

GCP

BigQuery

Apache Airflow

Terraform

GitOps

PySpark

FastAPI

CI/CD

Agile

Polish & English

Tools

Cloud Composer

Backstage

Dataproc

dbt

Jobbeschreibung

Xebia Group is seeking a Data Platform Engineer to design and deliver tooling and pipelines on GCP, enabling scalable data products and AI-enabled workflows. You will build internal tooling, templates, and visualizations with Airflow/Cloud Composer, Backstage, and Terraform, while collaborating with data engineering, analytics, and ML teams.

The role requires strong Python, BigQuery, PySpark, and modern tooling expertise, plus fluent Polish and English.