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