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- Tasks: Design and implement innovative data workflows to solve complex client challenges.
- Company: Pioneering data solutions company based in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a meaningful impact in the evolving data engineering landscape.
- Qualifications: Over two years of experience with modern data tools like Apache Airflow or Snowflake.
- Other info: Join a dynamic team focused on cutting-edge data solutions.
The predicted salary is between 36000 - 60000 £ per year.
A pioneering data solutions company in Greater London seeks a Sales Engineer to help clients deploy data workflows and address complex challenges. This role involves designing proof-of-concept solutions, providing technical guidance, and influencing product development.
Candidates should have over two years of experience in a related field and be familiar with modern data tools like Apache Airflow, Snowflake, or Databricks. Join to make a meaningful impact in the data engineering landscape.
Data Workflow Architect & Solutions Engineer employer: Astronomer
Contact Detail:
Astronomer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Workflow Architect & Solutions Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering space on LinkedIn or at local meetups. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your proof-of-concept solutions and any projects you've worked on with tools like Apache Airflow or Snowflake. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Research common questions for Sales Engineer roles and practice your responses. We recommend focusing on how you’ve tackled complex challenges in the past, as this will resonate with hiring managers.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Workflow Architect & Solutions Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data tools like Apache Airflow, Snowflake, or Databricks. We want to see how your skills align with the role of a Data Workflow Architect & Solutions Engineer.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data solutions and how you can help clients tackle their challenges. Be specific about your past experiences and how they relate to the job.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've designed proof-of-concept solutions or provided technical guidance in previous roles. We love seeing candidates who can think critically and creatively!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Astronomer
✨Know Your Data Tools
Make sure you brush up on your knowledge of modern data tools like Apache Airflow, Snowflake, and Databricks. Be ready to discuss how you've used these tools in past projects and how they can solve specific challenges for clients.
✨Prepare Your Proof-of-Concept
Since the role involves designing proof-of-concept solutions, think about a project where you successfully implemented a data workflow. Prepare to walk through your thought process, the challenges you faced, and how you overcame them.
✨Showcase Your Technical Guidance Skills
Be prepared to demonstrate your ability to provide technical guidance. Think of examples where you've helped clients or colleagues understand complex data concepts. This will show your communication skills and your ability to simplify technical jargon.
✨Understand the Company’s Impact
Research the company’s mission and recent projects. Be ready to discuss how you can contribute to their goals and make a meaningful impact in the data engineering landscape. Showing genuine interest in their work will set you apart.
