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- Tasks: Lead data engineering initiatives and optimise data architectures in a dynamic team.
- Company: Join a leading global advisory firm with a focus on innovation.
- Benefits: Enjoy a competitive salary, flexible working options, and career development opportunities.
- Why this job: Make an impact in AI and analytics within the Financial Services sector.
- Qualifications: Strong background in Databricks and Financial Services, plus leadership skills.
- Other info: Be part of a forward-thinking team driving cutting-edge data solutions.
The predicted salary is between 54000 - 84000 £ per year.
A leading global advisory firm is seeking a Senior Manager, Databricks Architect, to join their Financial Services AI & Data team in London. The ideal candidate will lead data engineering initiatives, optimize data architectures, and drive AI and analytics strategies. Candidate should have a strong background in Databricks and Financial Services, alongside impressive leadership skills. This role offers a competitive remuneration package, flexible working options, and significant opportunities for career development.
Senior Databricks Architect & AI Data Lead (FS) in London employer: Ernst & Young Advisory Services Sdn Bhd
Contact Detail:
Ernst & Young Advisory Services Sdn Bhd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Databricks Architect & AI Data Lead (FS) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the Financial Services sector, especially those who work with Databricks. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or examples of your work with data architectures and AI strategies, make sure to share them during interviews. It’s all about proving you can lead those initiatives.
✨Tip Number 3
Prepare for the interview by brushing up on the latest trends in AI and data engineering. We want to see you not just as a candidate, but as a thought leader who can drive our strategies forward.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Databricks Architect & AI Data Lead (FS) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and Financial Services. We want to see how your skills align with the role, so don’t be shy about showcasing your leadership achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our team. Share specific examples of how you've led data engineering initiatives and driven AI strategies in the past.
Showcase Your Technical Skills: We’re looking for someone with a strong technical background. Be sure to include any relevant certifications or projects that demonstrate your expertise in data architecture and analytics. This is your moment to impress us!
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. Don’t miss out!
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge. Be prepared to discuss specific projects where you've used Databricks to optimise data architectures or drive AI strategies. Highlight your experience in Financial Services, as this will be crucial for the role.
✨Showcase Your Leadership Skills
As a Senior Manager, you'll need to demonstrate strong leadership capabilities. Think of examples where you've led teams or initiatives successfully. Be ready to discuss how you motivate and guide others, especially in high-pressure situations.
✨Prepare for Technical Questions
Expect some technical questions related to data engineering and AI analytics. Brush up on the latest trends and best practices in these areas. It’s also a good idea to prepare a few case studies that showcase your problem-solving skills and innovative thinking.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! This shows your interest in the role and the company. Inquire about their current data initiatives, team dynamics, or future projects in AI and analytics. It’ll help you gauge if the company is the right fit for you too.
