Senior Data Engineer with Airflow

In Vantage Compute we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. The client is a global technology company providing a managed, cloud‑native DataOps platform built on top of Apache Airflow. The organization supports hundreds of enterprise customers worldwide, enabling them to run mission‑critical data pipelines at scale. The client operates a fully distributed model and works closely with data engineering and platform teams across multiple industries. The project focuses on customer enablement and engineering for a managed Apache Airflow platform. Project information: Type of project: customer enablement and engineering for a managed Apache Airflow platform Remote work: 100% remote from PL Budget : 170 – 180 PLN/net/h + VAT Type of employment: B2B Contract length: Long – term Project language: English Project scope: 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 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 Nice to have: Experience with Airflow administration in production environments Exposure to infrastructure as code (Terraform or similar) Familiarity with SQL and analytical data workflows Previous experience in customer support, reliability engineering, or platform engineering roles Experience working with enterprise customers during onboarding or adoption phases Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches We offer: Unique opportunity to join an international team and lead innovation projects Full-time job agreement based on b2b Private medical care with dental care (covering 70% of costs). Family package option possible Multisport card (also for an accompanying person) Life insurance