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- Tasks: Engineer data solutions and collaborate on exciting AI projects.
- Company: Leading AI consultancy in Greater London, backed by Accenture.
- Benefits: Competitive salary, innovative projects, and a collaborative culture.
- Why this job: Shape workflows that drive smarter business decisions and make an impact.
- Qualifications: Expertise in Python, SQL, TypeScript, and preferably Palantir technologies.
- Other info: Join a fast-growing team with opportunities across various sectors.
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 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
✨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 and give you insights that job descriptions 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 demonstrate your expertise and creativity, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data engineering and AI. Practice explaining your thought process clearly; it’s all about collaboration and communication in this role.
✨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 and engaged with our platform.
We think you need these skills to ace Client-Facing Full-Stack Data Engineer | AI & Palantir
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 align with the role, so don’t hold back on showcasing your experience!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your experience with Palantir technologies if you have it, and explain how you can contribute to our innovative projects.
Be Yourself: We’re all about collaboration and culture here at StudySmarter. Let your personality shine through in your written application. Share your passion for data engineering and AI, and why you want to join our team!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to connect and start the conversation about your future with us!
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 Yourself 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 Your Collaboration Skills
Since this role emphasises collaboration, think of examples where you've successfully worked in a team. Highlight your ability to communicate effectively and how you contribute to a positive team dynamic, especially in fast-paced environments.
✨Prepare Questions About Innovation
Demonstrate your interest in the company's culture by preparing thoughtful questions about their approach to innovation. Ask about recent projects or initiatives that showcase their commitment to driving smarter business decisions through AI.
