At a Glance
- Tasks: Design and implement data solutions, guide clients, and influence product evolution.
- Company: Join Astronomer, a leader in DataOps and workflow orchestration.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact in the data industry while becoming an expert in cutting-edge technology.
- Qualifications: Experience in data engineering and strong communication skills are essential.
- Other info: Diverse and inclusive workplace with a focus on innovation and community impact.
The predicted salary is between 36000 - 60000 £ 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 800 of the world's leading enterprises, Astronomer lets businesses do more with their data.
As a 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.
What you get to do:
- Solve Real-World Problems: Design and implement proof-of-concept solutions that help customers tackle real data challenges, from concept to production.
- Be a Trusted Advisor: Conduct demos and provide technical guidance to engineering teams, showing them how our platform can transform their workflows.
- 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.
- 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.
- 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:
- Data Engineering Know-How: Familiarity with core data engineering concepts including orchestration, ELT, Git, and Role-Based Access Control (RBAC), with hands-on experience or working knowledge of Apache Airflow in a customer environment.
- Experience and Expertise: 2+ 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.
- Effective Communication: Strong verbal and written communication skills to simplify complex technical concepts for diverse audiences.
- Curiosity and Customer Empathy: A genuine desire to understand customer needs, patience, and empathy to support them through challenges.
- Drive to Innovate: Eagerness to learn and experiment with new technical concepts, tools, and approaches to stay ahead in the data industry.
Bonus points if you have:
- Hands-on Python scripting skills for data pipeline support.
- Experience with open-source data tools.
- Background in designing data workflows in a production environment.
- Customer-facing experience in a technical or consultative role.
- Experience working with Command Line Interfaces (CLI).
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.
Sales Engineer in London employer: Astronomer Inc.
Contact Detail:
Astronomer Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sales Engineer in London
✨Tip Number 1
Get to know the company inside out! Research Astronomer, its products, and the data challenges they tackle. This way, when you chat with them, you can show off your knowledge and how you can help solve their problems.
✨Tip Number 2
Practice your demo skills! Since you'll be conducting demos as a Sales Engineer, make sure you can clearly explain how the platform works and how it can transform workflows. A well-prepared demo can really impress potential employers.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Astronomer team.
We think you need these skills to ace Sales Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Sales Engineer role. Highlight your experience with data engineering concepts and any hands-on work with Apache Airflow. We want to see how your skills align with what we do at Astronomer!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data workflows and how you can help our clients tackle their challenges. Show us your curiosity and customer empathy right from the start.
Showcase Your Communication Skills: Since effective communication is key in this role, make sure your application reflects that. Keep your language clear and concise, and don’t hesitate to simplify complex concepts. We love seeing candidates who can communicate technical ideas effectively!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the Astronomer team!
How to prepare for a job interview at Astronomer Inc.
✨Know Your Data Engineering Basics
Before the interview, brush up on core data engineering concepts like orchestration, ELT, and Git. Familiarity with Apache Airflow is crucial, so be ready to discuss your hands-on experience or any projects you've worked on that involved these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled real-world data challenges in previous roles. Think about proof-of-concept solutions you've designed and how they benefited your clients. This will demonstrate your ability to solve complex problems effectively.
✨Communicate Clearly and Confidently
Practice simplifying complex technical concepts for a non-technical audience. During the interview, focus on clear communication, as you'll need to convey ideas to diverse stakeholders. Use relatable analogies if necessary to make your points more accessible.
✨Demonstrate Curiosity and Empathy
Be prepared to discuss how you approach understanding customer needs. Share instances where you've shown patience and empathy while supporting clients through challenges. This will highlight your customer-centric mindset, which is essential for a Sales Engineer role.