Senior Data Engineer with Airflow

In Cyclad 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