Data Engineer with Airflow

Xebia is a global AI-first, digital transformation, and engineering partner with over 25 years of experience and a team of 5,000 professionals across 16 countries. They specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products. In the CEE region, they deliver modern applications, data platforms, and AI solutions for notable clients using technologies including AWS, Azure, GCP, Databricks, and Snowflake.

• Strong hands-on experience with Apache Airflow, including DAG development, scheduling, dependencies, and operational concepts
• Professional experience with Python
• Commercial experience with data engineering platforms or infrastructure
• Experience in customer-facing, consulting, advisory, support, or enablement roles
• Strong troubleshooting skills with distributed systems and production environments
• Ability to understand complex technical issues and translate into practical solutions
• Strong communication and customer empathy, especially in technical training and support
• Ability to work independently and take ownership of technical issues
• Experience working in remote and distributed international teams
• Practical understanding of Kubernetes and containerized environments
• Experience with managed cloud services
• Familiarity with modern data technology stacks such as Snowflake, dbt, or Terraform
• Experience delivering technical workshops, training sessions, or customer enablement
• Ability to quickly learn new platforms, technologies, and tooling

Nice to have:

• Experience administering Apache Airflow in production
• Experience with Infrastructure as Code technologies such as Terraform
• Familiarity with SQL and analytical data workflows
• Previous roles in customer support, Site Reliability Engineering, or platform engineering
• Experience working with enterprise customers during onboarding, migration, or platform adoption phases
• Experience integrating Airflow with cloud data warehouses and transformation platforms

• Provide hands-on support with Apache Airflow configuration, DAG development, scheduling, and troubleshooting
• Advise customer data engineering teams on best practices for using Airflow across different technology stacks
• Help customers integrate Airflow with their data ecosystems, including cloud data warehouses, transformation tools, and Infrastructure as Code solutions
• Support customers during platform adoption and production onboarding
• Troubleshoot complex Airflow and distributed system issues and guide customers to reliable solutions
• Assist customers with operational challenges related to scheduling, dependencies, failures, and production workloads
• Deliver technical guidance, enablement, and knowledge sharing to customer engineering teams
• Collaborate with internal project owner on scope, tracking, priorities, and delivery
• Contribute to documentation and reusable technical guidance for common Airflow use cases and issues
• Work independently in a remote and distributed environment

Work from the European Union region and a work permit are required.