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Astronomer

Sales Engineer, EMEA

London
Posted about 19 hours ago
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About this role:

Astronomer is on a mission to make DataOps a first-class discipline in every modern data organization. As the driving force behind Apache Airflow, we're powering mission-critical pipelines at scale for companies like Condé Nast, Rappi, Sonos, and more. As a Sales Engineer at Astronomer, you’ll be a key partner to our prospects and customers, guiding them in deploying powerful data workflows to accelerate their business outcomes. You'll work with cutting-edge technology, help customers solve complex data challenges, and have a voice in influencing our product’s evolution through client feedback. This role is ideal for someone who wants to make a visible impact while growing into an expert in workflow orchestration and Apache Airflow.

✈️ Location: The position is based in London but requires regular travel to France, aligned with business needs.

🎯 What You Get to Do:

  • Lead the technical sales motion in partnership with Account Executives - discovery, demos, proof-of-concepts, and architecture discussions
  • Understand customer pain and translate it into high-impact technical solutions tied to business value
  • Build and deliver tailored demos and POCs using Python, Airflow, and related tools
  • Guide customers through modern DataOps strategies - from orchestration to observability and automation
  • Influence product feedback loops, collaborate cross-functionally, and contribute to go-to-market strategy

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

✅ What you bring to the role:

  • You’re technically sharp, customer-obsessed, and energized by solving real problems with data teams. We’re not looking for a perfect checklist match - but here’s what a strong candidate would possess:
    • Business level French language skills
    • Python fluency, CLI comfort, and experience building with tools like Docker
    • Familiarity with cloud-native data architectures (AWS, GCP, or Azure)
    • Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD
    • Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar
    • 3–10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.)
    • Strong communication skills across technical and business stakeholders
    • Startup-friendly mindset: proactive, adaptable, fast-moving

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⭐️ Bonus points if you have:

  • Experience with observability, Kubernetes, or helping teams scale modern data stacks.

Why Astronomer?

  • We’re defining the DataOps layer of the modern data stack - not just orchestration
  • Airflow is the standard - we’re making it enterprise-ready, secure, and scalable
  • Backed by top-tier investors and trusted by data-forward organizations
  • You’ll work with a team that values clarity, ownership, and high standards - without ego

At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Location

London, England, United Kingdom

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