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- Tasks: Guide clients in deploying data workflows and solve complex data challenges.
- Company: Join Astronomer, the leader in DataOps, empowering businesses with data-driven insights.
- 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 skills and data engineering knowledge.
- Other info: We welcome unconventional backgrounds and value diversity in our team.
The predicted salary is between 48000 - 84000 £ 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 .
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 - UK, London employer: Astronomer
Contact Detail:
Astronomer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Sales Engineer - UK, London
✨Tip Number 1
Familiarise yourself with Apache Airflow and other modern data tools like Snowflake and Databricks. Understanding these technologies will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Network with current or former employees of Astronomer on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial during your interview.
✨Tip Number 3
Prepare to discuss real-world examples where you've solved complex data challenges. Being able to articulate your problem-solving process will showcase your expertise and align with the responsibilities of the Senior Sales Engineer role.
✨Tip Number 4
Stay updated on the latest trends in data engineering and workflow orchestration. Showing that you're proactive about learning and adapting to new technologies will resonate well with the hiring team at Astronomer.
We think you need these skills to ace Senior Sales Engineer - UK, 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 experience you have with Apache Airflow or designing data workflows, as this will strengthen your application.
Showcase Communication Skills: Since strong verbal and written communication skills are essential for this role, consider including examples of how you've simplified complex technical concepts for diverse audiences in your application materials.
Highlight Your Learning Mindset: Astronomer values eagerness to learn and experiment. In your application, mention any recent projects or experiences where you embraced new technical concepts or tools, demonstrating your commitment to staying ahead in the data industry.
How to prepare for a job interview at Astronomer
✨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 showcase its impact on businesses.
✨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 during the interview, so practice explaining your thought process clearly and concisely.
✨Demonstrate Your Problem-Solving Ability
Astronomer values candidates who can tackle real-world data challenges. Prepare examples from your past experiences where you've successfully designed and implemented solutions for complex data issues, highlighting your role in the process.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice simplifying complex technical concepts for a non-technical audience. During the interview, focus on being clear and engaging, ensuring that your passion for helping customers shines through.
