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For Companies At a Glance
- Tasks: Engineer data solutions and collaborate on exciting AI projects.
- Company: Leading AI consultancy in Greater London, backed by Accenture.
- Benefits: Competitive salary, flexible work environment, and growth opportunities.
- Why this job: Join a fast-growing team and make an impact across various sectors.
- Qualifications: Expertise in Python, SQL, TypeScript, and Palantir technologies preferred.
- Other info: Innovative culture with a focus on collaboration and smart business decisions.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI consultancy in Greater London is seeking Full stack Data Engineers of all levels. You will engineer data solutions, collaborate on AI projects, and shape workflows that drive smarter business decisions.
Ideal candidates have expertise in Python, SQL, and TypeScript, with a preferred background in Palantir technologies. Join a fast-growing team backed by Accenture, working on impactful projects across various sectors. This role emphasizes innovation and a culture of collaboration.
Client-Facing Full-Stack Data Engineer | AI & Palantir in London employer: Decho Group
Contact Detail:
Decho Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Client-Facing Full-Stack Data Engineer | AI & Palantir in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with AI and Palantir. 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 in Python, SQL, and TypeScript. This is your chance to shine and demonstrate how you can engineer data solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI and data engineering workflows. Be ready to discuss how you've collaborated on projects and driven smarter business decisions.
✨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 Client-Facing Full-Stack Data Engineer | AI & Palantir in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python, SQL, and TypeScript in your application. We want to see how your skills can contribute to our innovative projects, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the role. Mention any experience you have with Palantir technologies and how it relates to the work we do at StudySmarter. This shows us you’re genuinely interested!
Be Yourself: We love authenticity! Let your personality shine through in your written application. Share your passion for data engineering and how you approach problem-solving. We’re looking for team players who fit our collaborative culture.
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. We can’t wait to hear from you!
How to prepare for a job interview at Decho Group
✨Know Your Tech Stack
Make sure you brush up on your Python, SQL, and TypeScript skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to data engineering and AI solutions.
✨Familiarise with Palantir
If you have experience with Palantir technologies, be prepared to share specific examples of how you've leveraged them in your work. If not, do some research on how Palantir integrates with data workflows and be ready to discuss how you could apply that knowledge.
✨Showcase Collaboration Skills
Since this role emphasises collaboration, think of examples where you've successfully worked in a team. Highlight your communication skills and how you’ve contributed to group projects, particularly in fast-paced environments.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Practice articulating your thought process when faced with challenges in data engineering or AI projects, as this will demonstrate your innovative thinking and adaptability.
