Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance data platforms and MLOps processes in a dynamic AgTech environment.
- Company: Leading AgTech company in London focused on innovation.
- Benefits: Competitive salary up to £90k and flexible hybrid working options.
- Why this job: Join a team driving engineering excellence and innovation in data engineering.
- Qualifications: Experience in analytics-heavy industries, especially AgTech or HealthTech.
- Other info: Collaborative culture with opportunities for professional growth.
The predicted salary is between 54000 - 90000 £ per year.
An AgTech company in London is seeking a Senior Data & Platform Engineer to enhance their data platforms and MLOps processes. This role involves building and maintaining production-grade applications, driving engineering excellence, and collaborating across teams.
The ideal candidate has experience in analytics-heavy industries, particularly AgTech or HealthTech, and is motivated to innovate in data engineering.
The position offers a competitive salary of up to £90k and a flexible hybrid working environment.
Senior Data & Platform Engineer - AI-Driven AgTech in London employer: Story Terrace Inc.
Contact Detail:
Story Terrace Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data & Platform Engineer - AI-Driven AgTech in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AgTech and HealthTech sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data platforms and MLOps. This is your chance to shine and demonstrate your engineering excellence.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions in data engineering. We recommend practicing with friends or using mock interview platforms to build your confidence.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data & Platform Engineer - AI-Driven AgTech in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially in analytics-heavy industries like AgTech or HealthTech. We want to see how your skills align with the role, 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 AgTech and how you can drive innovation in our data platforms. Let us know what excites you about this role and how you can contribute to our team.
Showcase Your Technical Skills: We’re looking for someone who can build and maintain production-grade applications. Be sure to mention any specific technologies or tools you’ve worked with that are relevant to MLOps processes. This is your moment to impress us with your technical prowess!
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 us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Story Terrace Inc.
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies and tools mentioned in the job description. Brush up on your experience with data platforms and MLOps processes, as you'll likely be asked to discuss specific projects where you've applied these skills.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in analytics-heavy industries like AgTech or HealthTech. Think about specific problems you faced, the solutions you implemented, and the impact they had on your team or project.
✨Collaboration is Key
Since this role involves working across teams, be ready to discuss your experience collaborating with others. Highlight instances where you’ve successfully worked with cross-functional teams to drive engineering excellence and innovation.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and future projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially regarding innovation in data engineering.
