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- Tasks: Lead the design and optimisation of data systems for real-time AI applications.
- Company: Join a leading form builder company at the forefront of AI technology.
- Benefits: Enjoy a fully remote role with competitive pay and flexible working hours.
- Why this job: Make a significant impact by shaping the future of AI infrastructure.
- Qualifications: Expertise in large-scale data systems and tools like Terraform and Kafka required.
- Other info: Great opportunity for career growth in a dynamic, innovative environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading form builder company is seeking an Expert Data Platform Engineer with strong technical leadership skills in data and AI infrastructure. The ideal candidate will guide architectural decisions, optimize data systems and mentor engineers.
Responsibilities include:
- Translating AI requirements into platform capabilities
- Ensuring infrastructure reliability
A background in large-scale data systems and experience with tools like Terraform and Kafka are essential. This is a fully remote role available to candidates in the UK and other specified countries.
Remote Senior Data Platform Engineer for Real-Time AI in London employer: Typeform
Contact Detail:
Typeform Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Senior Data Platform Engineer for Real-Time AI in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Terraform and Kafka. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss how you've optimised data systems in the past and how you can mentor others.
✨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!
We think you need these skills to ace Remote Senior Data Platform Engineer for Real-Time AI in London
Some tips for your application 🫡
Show Off Your Technical Skills: Make sure to highlight your experience with data systems and tools like Terraform and Kafka. We want to see how you've used these in real-world scenarios, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your skills align with our needs, especially around architectural decisions and mentoring. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re the perfect fit for the team.
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 this exciting opportunity!
How to prepare for a job interview at Typeform
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like Terraform and Kafka. Brush up on your knowledge of large-scale data systems and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Leadership Skills
Since the role requires strong technical leadership, prepare examples of how you've guided architectural decisions or mentored other engineers. Think about specific challenges you faced and how you overcame them while leading a team.
✨Translate AI into Action
Be prepared to discuss how you would translate AI requirements into platform capabilities. Have a few ideas ready on how you can optimise data systems for real-time AI applications, as this will show your understanding of the role's core responsibilities.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data infrastructure and future projects. This not only shows your interest but also helps you gauge if the company aligns with your career goals.