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- Tasks: Design and deliver scalable data solutions while managing data integration across systems.
- Company: Join a global fintech leader driving innovation in data management.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be part of a dynamic team making an impact in the fintech industry.
- Qualifications: Experience in data-driven products, coding in Python and TypeScript/JavaScript.
- Other info: Ideal for those with a background in financial services or insurance.
The predicted salary is between 60000 - 80000 £ per year.
A global fintech leader is looking for a Data/AI Engineer to design and deliver scalable data solutions. The successful candidate will manage data integration across multiple systems, focusing on KPI delivery and operational optimization.
The role requires strong experience in data-driven products, coding in Python and TypeScript/JavaScript, and knowledge of AI solutions. Candidates with a background in financial services or insurance are preferred.
This position offers the chance to work in a dynamic team to drive innovation in data management.
Global Data & AI Engineer for KPIs & Automation employer: ACRISURE
Contact Detail:
ACRISURE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global Data & AI Engineer for KPIs & Automation
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working with data and AI. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data-driven projects, especially those involving Python and TypeScript/JavaScript. This will give potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of KPIs and operational optimisation. Be ready to discuss how you've tackled similar challenges in the past and how you can bring that experience to their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Global Data & AI Engineer for KPIs & Automation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data-driven products and coding in Python and TypeScript/JavaScript. 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 data solutions and how your background in financial services or insurance makes you a great fit for us. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges in data integration or operational optimisation. We love seeing how you think critically and creatively to drive innovation in data management.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at ACRISURE
✨Know Your Data Inside Out
Make sure you’re well-versed in data integration techniques and scalable solutions. Brush up on your experience with KPI delivery and operational optimisation, as these will likely be hot topics during the interview.
✨Show Off Your Coding Skills
Be prepared to discuss your coding experience in Python and TypeScript/JavaScript. You might even face a coding challenge, so practice writing clean, efficient code that demonstrates your problem-solving skills.
✨Highlight Relevant Experience
If you have a background in financial services or insurance, make it known! Share specific examples of how your previous roles have prepared you for this position, especially in relation to data-driven products and AI solutions.
✨Demonstrate Team Spirit
This role is all about collaboration, so be ready to talk about your experiences working in dynamic teams. Share how you’ve contributed to innovation in data management and how you can bring that energy to their team.