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12 дней назад

Sales Engineer (Apache Airflow)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Sales Engineer (Apache Airflow): Leading technical sales engagements and building tailored data workflow demonstrations and proofs of concept with Python, Airflow, and related tools, with an accent on DataOps, cloud-native architectures, and customer-focused solution design. Focus on guiding enterprise customers through orchestration, observability, automation, and scalable data engineering architectures.

Location: Hybrid in London, with regular travel to France

Company

hirify.global develops Astro, a unified DataOps platform powered by Apache Airflow for building reliable data products, analytics, AI solutions, and data-driven applications.

What you will do

  • Lead the technical sales process with Account Executives, including discovery, demonstrations, proof-of-concepts, and architecture discussions.
  • Understand customer challenges and translate them into technical solutions connected to business value.
  • Build and deliver tailored demonstrations and proofs of concept using Python, Airflow, and related tools.
  • Guide customers through DataOps strategies covering orchestration, observability, and automation.
  • Provide product feedback, collaborate across functions, and contribute to go-to-market strategy.

Requirements

  • Business-level French and strong communication skills with technical and business stakeholders.
  • Fluency in Python, comfort with command-line interfaces, and experience with tools such as Docker.
  • Familiarity with cloud-native data architectures on AWS, GCP, or Azure.
  • Understanding of orchestration, ELT/ETL, DAGs, and CI/CD workflows.
  • Exposure to Airflow, Snowflake, Databricks, BigQuery, dbt, or similar platforms.
  • 3–10 years of total experience, including at least 2 years in a customer-facing technical role such as Sales Engineering or Solutions Architecture.

Nice to have

  • Experience with observability, Kubernetes, or scaling modern data stacks.
  • Proactive, adaptable, and comfortable working in a fast-moving startup environment.

Culture & Benefits

  • Work on the DataOps layer of the modern data stack and help make Apache Airflow enterprise-ready, secure, and scalable.
  • Contribute to a platform trusted by data-forward organizations and leading enterprises.
  • Join a team that values clarity, ownership, high standards, and collaboration without ego.
  • Work in an environment committed to diversity and equal opportunity.

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