Senior Data Platform Engineer – AI-Driven DevOps & Airflow

Xebia; Poland; On-site; PLN 304,000 - 434,000; Full time

Job summary

Xebia seeks a data platform engineer to design and build scalable data products, tooling, and templates in a modern cloud environment.

You will collaborate with platform, data engineering, analytics, and ML teams to evolve Airflow/Cloud Composer pipelines, IaC modules, and developer tooling, while ensuring quality and observability.

Proficiency in Polish and English, strong Python and GCP experience, and EU work eligibility are required; remote work within the EU is supported.

Qualifications

• Strong Python development experience in a cloud data setting.
• Practical Google Cloud Platform experience and BigQuery
• Hands-on with Apache Airflow or Cloud Composer
• IaC practices with Terraform and GitOps mindset
• Knowledge of CI/CD and modern software delivery
• Understanding of data engineering concepts and data product lifecycle
• Experience with PySpark or Spark ecosystem
• Familiarity with FastAPI and modern Python tooling
• Proficient Polish and English communication skills
• Experience in Agile development environments

Responsibilities

• Designing and developing tools that standardize and automate Data Platform operations.
• Building and maintaining internal CLI tools for platform and Data Product management.
• Developing and evolving Data Product templates using best practices.
• Designing and implementing visualizations and insights within Backstage.
• Collecting platform usage metrics, audit data, and adoption statistics.
• Designing Agentic AI workflows and developer-assistance capabilities.
• Developing reusable AI skills and automation components for data products.
• Creating distribution, lifecycle management, and monitoring for AI skills.
• Maintaining a shared Apache Airflow platform on Cloud Composer.
• Building reusable libraries, operators, and components for Airflow DAGs.
• Developing and maintaining IaC assets and Terraform modules.
• Contributing to GitOps adoption using Backstage, GitHub, ArgoCD, Crossplane.
• Collaborating with platform, data engineering, analytics, and ML teams to improve usability.

Skills

Python development

GCP

BigQuery

Airflow / Cloud Composer

Terraform / IaC

GitOps

CI/CD

Agile development

Polish language

English language

Data engineering concepts

PySpark

FastAPI / Python tooling

Tools

Cloud Composer

Backstage

Terraform

GitHub

ArgoCD

Crossplane

Dataproc

dbt

Kedro

Job description

Xebia seeks a data platform engineer to design and build scalable data products, tooling, and templates in a modern cloud environment.

You will collaborate with platform, data engineering, analytics, and ML teams to evolve Airflow/Cloud Composer pipelines, IaC modules, and developer tooling, while ensuring quality and observability.

Proficiency in Polish and English, strong Python and GCP experience, and EU work eligibility are required; remote work within the EU is supported.