Senior Data Engineer with Airflow

Czym będziesz się zajmować? 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 Kogo poszukujemy? Key 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) 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 Czego wymagamy? 5 lat doświadczenia na podobnym stanowisku Znajomości: Airflow DAG Python Data Engineering AI-powered assistants Mile widziane: Kubernetes Cloud data warehouses Snowflake DBT Terraform SQL Języki: Angielski Jakie warunki i benefity otrzymasz? 28.6k–30.2k PLN netto/m (B2B) B2B - Elastyczne godziny pracy (100%) Praca zdalna: W całości Pakiet medyczny, Ubezpieczenie, Pakiet sportowy Kim jesteśmy? In the vibrant sphere of international consulting, Cyclad distinguishes itself with deep specialization in the IT/ICT sectors. Our commitment to excellence propels us to deliver a broad array of outsourcing services, spanning HR and IT domains. Catering to diverse industries such as Banking, Aviation, Travel, Cybersecurity, and BPO, Cyclad's offerings are as varied as the clients we serve. This diversity not only demonstrates our versatility but also our capability to tailor solutions to the unique challenges and opportunities within each sector. Central to Cyclad’s philosophy is a commitment to delivering services of unmatched quality while nurturing enduring relationships with our clients and our team. We believe that the foundation of our success lies in a blend of innovative technologies and the profound value we place on human connections and dedication.