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Data Engineer with Airflow

1 month, 2 weeks ago
Europe, Bulgaria, Czech Republic, Hungary, Moldova, Poland, Romania
Full-time
Mid Level
Data Engineer
DevOps and Infrastructure
Apache Airflow AWS Azure Databricks dbt GCP Kubernetes Python Snowflake SQL Terraform
Apply Now
Xebia

Xebia

Xebia is a pioneering IT consultancy company specializing in Continuous Delivery, DevOps, Agile Consulting, and Digital Transformation Services, creating digital leaders through innovative solutions.

Internet Software & Services
1K-5K
Founded 2008
View All Jobs 16

Description

  • Provide hands-on support with Apache Airflow configuration, DAG development, scheduling, and troubleshooting.
  • Advise customer data engineering teams on Airflow best practices across different technology stacks.
  • Help customers integrate Airflow with data ecosystems such as 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 toward stable solutions.
  • Assist with operational challenges related to scheduling, dependencies, failures, and production workloads.
  • Deliver technical guidance, enablement, and knowledge sharing to customer engineering teams.
  • Collaborate with the internal project owner on scope, status tracking, priorities, and delivery activities.
  • Contribute to documentation and reusable guidance for common Airflow use cases and issues.
  • Work independently in a remote and distributed environment.

Requirements

  • 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 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 for 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 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 and a valid work permit are required.
  • Experience administering Apache Airflow in production environments (nice to have).
  • Experience with Infrastructure as Code technologies such as Terraform (nice to have).
  • Familiarity with SQL and analytical data workflows (nice to have).
  • Previous experience in customer support, Site Reliability Engineering, or platform engineering roles (nice to have).
  • Experience working with enterprise customers during onboarding, migration, or platform adoption phases (nice to have).
  • Experience integrating Airflow with cloud data warehouses, transformation platforms, or other modern data engineering tools (nice to have).

Interested in this position?

Apply directly on the company website

Apply Now

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