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- Tasks: Design and develop a cutting-edge data platform for AI and ML capabilities.
- Company: Leading fintech company in Greater London with a focus on innovation.
- Benefits: 25 days holiday, private medical and dental insurance, and pension scheme.
- Why this job: Join a dynamic team and make an impact in the fintech industry.
- Qualifications: Experience in data engineering and a passion for collaboration.
- Other info: Flexible work locations with strong team dynamics and ownership.
The predicted salary is between 43200 - 72000 £ per year.
A leading fintech company in Greater London is looking for skilled data engineers to join their team. The role focuses on designing and developing the core data platform, collaborating with a team of Data Engineers and Data Scientists, and ensuring AI and ML capabilities enhance the value of the FoundryOS platform. It offers flexible work locations and a strong emphasis on team dynamics and ownership of deliveries.
Competitive benefits include:
- 25 days holiday
- Private medical and dental insurance
- Workplace pension scheme
Data Engineer - Remote AI & FinTech Platform employer: FoundryOS
Contact Detail:
FoundryOS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Remote AI & FinTech Platform
✨Tip Number 1
Network like a pro! Reach out to current employees at the fintech company on LinkedIn. A friendly chat can give us insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your data engineering projects. This is a great way to demonstrate your expertise and passion for the role.
✨Tip Number 3
Ace the interview! Research common data engineering interview questions and practice your answers. We want to show them how you can contribute to their AI and ML capabilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals to join our team!
We think you need these skills to ace Data Engineer - Remote AI & FinTech Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering and any relevant AI or ML projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our team dynamics. Keep it personal and engaging – we love a bit of personality!
Showcase Your Team Spirit: Since we value collaboration, mention any experiences where you’ve worked in a team setting. Highlight how you contributed to group projects and how you can bring that same energy to our Data Engineers and Data Scientists.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our awesome team!
How to prepare for a job interview at FoundryOS
✨Know Your Data
Make sure you brush up on your data engineering skills and the specific technologies mentioned in the job description. Familiarise yourself with data platforms, AI, and ML concepts, as well as any tools the company uses. This will help you speak confidently about your experience and how it aligns with their needs.
✨Show Your Team Spirit
Since the role emphasises team dynamics, be prepared to discuss your experiences working in teams. Share examples of how you've collaborated with others, tackled challenges together, and contributed to a positive team environment. This will demonstrate that you value teamwork, which is crucial for this position.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data platform and its future direction. Inquire about how they integrate AI and ML into their processes. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
✨Highlight Ownership and Deliveries
The job mentions ownership of deliveries, so be ready to discuss projects where you took the lead. Talk about how you managed timelines, overcame obstacles, and ensured successful outcomes. This will illustrate your ability to take responsibility and deliver results, which is key for this role.
