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- Tasks: Automate data workflows and enhance data management processes using AWS and SQL.
- Company: Leading learning technology company in the UK with a focus on innovation.
- Benefits: Competitive salary, remote-first work environment, and opportunities for professional growth.
- Other info: Be part of a forward-thinking company that values data agility and collaboration.
- Why this job: Join a dynamic team impacting over 10 million users through innovative data solutions.
- Qualifications: 5+ years in DevOps with expertise in automation and database management.
The predicted salary is between 84000 - 90000 £ per year.
A leading learning technology company in the UK seeks a DataOps Engineer to streamline data management and implementation processes. This pivotal role focuses on automating data workflows using AWS and SQL, ensuring data quality and reliability for over 10 million users.
The ideal candidate has over 5 years’ experience in DevOps with strong skills in automation and database management, and will contribute to innovative projects supporting data agility across the organization.
A competitive salary ranging from $140,000 to $150,000 is offered.
DataOps Engineer — Remote-First, Automate the Golden Path employer: Panopto
Contact Detail:
Panopto Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DataOps Engineer — Remote-First, Automate the Golden Path
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your automation projects and data management successes. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with AWS and SQL, and think about how you can demonstrate your problem-solving abilities in real-time scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace DataOps Engineer — Remote-First, Automate the Golden Path
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in DevOps, automation, and database management. We want to see how your skills align with the role of a DataOps Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data management and how you can contribute to our mission at StudySmarter. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since this role involves AWS and SQL, make sure to mention any specific tools or technologies you’ve worked with. We’re looking for someone who can hit the ground running, so highlight your technical prowess clearly.
Apply Through Our Website: We encourage you to apply directly through our website. 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 our team!
How to prepare for a job interview at Panopto
✨Know Your Tech Stack
Make sure you’re well-versed in AWS and SQL, as these are crucial for the DataOps Engineer role. Brush up on your automation skills and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Experience
With over 5 years in DevOps, you’ll want to highlight your relevant experience. Prepare examples of how you've streamlined data management processes or improved data quality in previous roles to demonstrate your impact.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities. Think about challenges you've faced in automating data workflows and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Inquire about the team’s current data challenges or how they measure success in data agility. This shows your genuine interest in the role and the company.