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For Companies At a Glance
- Tasks: Deploy AI-driven data solutions for enterprise customers and collaborate with product teams.
- Company: Leading B2B SaaS company based in London with a focus on innovation.
- Benefits: Competitive salary, equity opportunities, and a hybrid work model.
- Why this job: Take ownership of impactful projects and enhance your skills in a dynamic environment.
- Qualifications: 2–4+ years of experience in Python and SQL with strong problem-solving abilities.
- Other info: Join a collaborative team and grow your career in the exciting field of AI.
The predicted salary is between 36000 - 60000 £ per year.
A leading B2B SaaS company in London is seeking a Forward Deployed Data Engineer. This hybrid role involves working directly with enterprise customers, adapting and deploying AI-enabled data solutions.
The ideal candidate will have 2–4+ years of experience, strong skills in Python and SQL, and a problem-solving mindset. With a focus on ownership, this position offers significant responsibility and collaboration with product and engineering teams, along with a competitive salary and equity opportunities.
Forward Deployed Data Engineer - AI for Enterprise employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Data Engineer - AI for Enterprise
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at companies you're interested in. A friendly chat can open doors and give you insider info on what they’re looking for.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your Python and SQL projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by practising common data engineering scenarios. Think about how you’d adapt AI solutions for different clients. We want you to demonstrate that problem-solving mindset they’re after!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Forward Deployed Data Engineer - AI for Enterprise
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these skills 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 problem-solving mindset aligns with our mission at StudySmarter and how you can contribute to deploying AI solutions for our enterprise customers.
Be Yourself: We love authenticity! Let your personality shine through in your written application. Share your passion for data engineering and how you approach challenges – it helps us get to know the real you.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity with StudySmarter.
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Business Context
Since this role involves working directly with enterprise customers, it’s crucial to understand their needs. Research the company’s products and think about how AI-enabled data solutions can benefit their clients. This will show that you’re not just a techie but also a strategic thinker.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to see your thought process and impact.
✨Emphasise Collaboration
This position requires working closely with product and engineering teams, so be ready to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked with cross-functional teams to deliver results.
