Data Engineer with Airflow
RemoteBulgaria
Job Summary
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 and help integrate the platform with existing data ecosystems, including cloud data warehouses and Infrastructure as Code solutions. Support customers during initial platform adoption and production onboarding while troubleshooting complex distributed system issues to guide them toward stable, reliable solutions. Deliver technical guidance, enablement, and knowledge sharing to customer engineering teams, collaborating with the internal project owner on scope, status tracking, and delivery activities. Contribute to documentation and reusable technical guidance for common Airflow use cases. Work independently in a remote and distributed environment.
Required Qualifications
- strong hands-on experience with Apache Airflow, including DAG development, scheduling, dependencies, and operational concepts
- professional experience with Python
- commercial experience working with data engineering platforms or data infrastructure
- experience in a customer-facing, consulting, advisory, support, or technical enablement role
- strong troubleshooting skills with distributed systems and production environments
- ability to understand complex technical issues and translate them into practical solutions
- strong communication and customer empathy, particularly when providing technical training and support
- ability to work independently and take ownership of technical issues
- experience working effectively in remote and distributed international teams
- practical understanding of Kubernetes and containerized environments
- experience working with managed cloud services
- familiarity with at least one modern data technology stack such as Snowflake, dbt, or Terraform
- experience delivering technical workshops, training sessions, or customer enablement activities
- ability to quickly learn new platforms, technologies, and internal tooling
- Work from the European Union region
- a work permit
Desired Qualifications
- experience administering Apache Airflow in production environments
- experience with Infrastructure as Code technologies such as Terraform
- familiarity with SQL and analytical data workflows
- previous experience in customer support, Site Reliability Engineering, or platform engineering roles
- experience working with enterprise customers during onboarding, migration, or platform adoption phases
- experience integrating Airflow with cloud data warehouses, transformation platforms, or other modern data engineering tools
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