Senior Data Engineer with Airflow
New
PLContractSenior
Salary170 - 180 PLN per hour
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Job Details
- Languages
- English
- Required Skills
- PythonApache AirflowKubernetesSnowflakeTerraformdbt
Requirements
- Strong hands-on knowledge of Apache Airflow, including DAG development, scheduling, and operational concepts
- Professional experience with Python
- Experience supporting or working with data engineering platforms in a customer-facing or advisory role
- Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery
- Ability to troubleshoot distributed systems and production issues
- Understanding of Kubernetes and containerized environments
- Experience working with managed cloud services
- Familiarity with at least one modern data stack (e.g. Snowflake, dbt, Terraform)
- Experience delivering technical workshops, training sessions, or enablement activities
- Ability to quickly learn new platforms and internal tooling
Responsibilities
- Providing hands-on assistance with Airflow configuration, DAG design, scheduling, and troubleshooting
- Acting as a technical advisor for customer data engineering teams using diverse technology stacks
- Helping customers integrate Airflow with their existing data ecosystem (e.g. cloud data warehouses, transformation tools, infrastructure as code)
- Supporting customers during initial platform adoption and production onboarding
- Troubleshooting complex Airflow-related issues and guiding customers toward stable, reliable solutions
- Collaborating with an internal project owner responsible for scope management, status tracking, and meeting facilitation
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