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For Companies At a Glance
- Tasks: Guide clients in deploying data workflows and solve complex data challenges.
- Company: Join Astronomer, the leader in DataOps, trusted by over 700 enterprises worldwide.
- Benefits: Enjoy a hybrid work model, travel opportunities, and a culture that values diverse experiences.
- Why this job: Make a visible impact while becoming an expert in workflow orchestration and Apache Airflow.
- Qualifications: 5 years in Sales Engineering or similar roles, with Python scripting skills and data engineering knowledge.
- Other info: We welcome unconventional backgrounds and value diversity in our team.
The predicted salary is between 43200 - 72000 £ per year.
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 700 of the world\’s leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.
Your background may be unconventional; as long as you have the essential qualifications, we encourage you to apply. While having \”bonus\” qualifications makes for a strong candidate, Astronomer values diverse experiences. Many of us at Astronomer haven\’t followed traditional career paths, and we welcome it if yours hasn\’t either.
About this role:
As a Senior Sales Engineer at Astronomer, you’ll be a key partner to our clients, guiding them in deploying powerful data workflows to accelerate their business outcomes. You\’ll have the chance to work with cutting-edge technology, help customers solve complex data challenges, and influence 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.
This is a hybrid role requiring a minimum of 3 days per week onsite, and includes up to 40% travel for business and customer needs.
What you get do:
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Solve Real-World Problems: Design and implement proof-of-concept solutions that help customers tackle real data challenges, from concept to production.
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Be a Trusted Advisor: Conduct demos and provide technical guidance to engineering teams, showing them how our platform can transform their workflows.
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Drive Community Impact: Contribute to the Apache Airflow community by creating technical content and best practices, positioning Astronomer as a thought leader in workflow orchestration.
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Influence Product Direction: Act as a liaison by gathering field insights and providing critical feedback to the Product team to shape the future of our platform.
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Develop and Grow: Become an expert in Airflow, workflow orchestration, and the data engineering landscape as you collaborate across departments and work on impactful projects.
What you bring to the role:
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5 years in a Sales Engineering, Solutions Engineering, Consulting or similar role within the data space, ideally with experience in modern data tools like Snowflake, Databricks, Fivetran, or Tableau.
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Hands-on Python scripting skills for data pipeline support.
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Familiarity with core data engineering concepts such as orchestration, ELT, Git, and Role-Based Access Control (RBAC).
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Strong verbal and written communication skills to simplify complex technical concepts for diverse audiences.
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A genuine desire to understand customer needs, patience, and empathy to support them through challenges.
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Eagerness to learn and experiment with new technical concepts, tools, and approaches to stay ahead in the data industry.
Bonus points if you have
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Experience with Apache Airflow or other open-source data tools.
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Background in designing data workflows in a production environment.
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Experience working with Command Line Interfaces (CLI).
#LI-Hybrid
#LI-Fulltime
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. Astronomer is a remote-first company.
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Senior Sales Engineer - EMEA, London employer: Midwest Startups
Contact Detail:
Midwest Startups Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Sales Engineer - EMEA, London
✨Tip Number 1
Familiarise yourself with Apache Airflow and other modern data tools mentioned in the job description. Having hands-on experience or even a solid understanding of these technologies will help you stand out during discussions with the hiring team.
✨Tip Number 2
Prepare to demonstrate your problem-solving skills by thinking of real-world data challenges you've faced in previous roles. Be ready to discuss how you approached these issues and the impact of your solutions, as this aligns closely with the responsibilities of the role.
✨Tip Number 3
Engage with the Apache Airflow community online. Contributing to forums or writing about your experiences can showcase your expertise and passion for the field, making you a more attractive candidate.
✨Tip Number 4
Highlight your communication skills by preparing to explain complex technical concepts in simple terms. This is crucial for the role, as you'll need to act as a trusted advisor to clients and engineering teams alike.
We think you need these skills to ace Senior Sales Engineer - EMEA, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Sales Engineering or similar roles, especially with modern data tools like Snowflake or Databricks. Emphasise your hands-on Python scripting skills and familiarity with data engineering concepts.
Craft a Compelling Cover Letter: In your cover letter, express your genuine desire to understand customer needs and how your background aligns with the role. Mention any unique experiences that showcase your problem-solving abilities and adaptability in the data space.
Showcase Technical Skills: Be specific about your technical skills related to workflow orchestration and data pipelines. If you have experience with Apache Airflow or other open-source tools, make sure to highlight this prominently.
Prepare for Interviews: Anticipate questions about your approach to solving real-world data challenges and your ability to communicate complex concepts. Be ready to discuss how you've influenced product direction in previous roles through client feedback.
How to prepare for a job interview at Midwest Startups
✨Understand the Product
Before your interview, make sure you have a solid understanding of Astronomer's Astro platform and how it integrates with Apache Airflow. Familiarise yourself with its features and benefits, as well as any recent updates or case studies that highlight its impact on data workflows.
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Python scripting and modern data tools like Snowflake or Databricks. You might be asked to solve a technical problem or explain a past project, so think about how you can demonstrate your expertise in data engineering concepts.
✨Emphasise Communication Skills
As a Senior Sales Engineer, you'll need to simplify complex technical concepts for clients. Practice explaining your previous projects or technical challenges in a way that's easy to understand. Highlight your ability to communicate effectively with both technical and non-technical audiences.
✨Demonstrate Customer Empathy
Astronomer values a genuine desire to understand customer needs. Prepare examples of how you've supported clients through challenges in the past, showcasing your patience and empathy. This will help illustrate your commitment to being a trusted advisor.
