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- Tasks: Lead data engineering projects and optimise data pipelines using Databricks solutions.
- Company: A top global advisory firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible work environment, and career growth opportunities.
- Why this job: Join a dynamic team and make a significant impact in the Financial Services sector.
- Qualifications: Experience in data transformations and strong leadership skills required.
- Other info: Supportive culture that values professional development and collaboration.
The predicted salary is between 54000 - 84000 £ per year.
A leading global advisory firm in Greater London seeks a Senior Manager to develop data engineering capabilities, focusing on Databricks solutions. The ideal candidate must have experience in delivering data transformations in the Financial Services sector and demonstrate strong leadership skills.
Responsibilities include:
- Optimizing data pipelines
- Providing technical leadership
The role promises competitive remuneration and opportunities for career growth, alongside a supportive and flexible work environment.
Senior Databricks Architect & AI/Data Leader (FS) in London employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Databricks Architect & AI/Data Leader (FS) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the Financial Services sector and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Showcase your expertise! When you get the chance to chat with potential employers, make sure to highlight your experience with Databricks and data transformations. Share specific examples of how you've optimised data pipelines in past roles.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your leadership style and how you can drive data engineering capabilities within a team. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can give you a better shot at landing that dream job.
We think you need these skills to ace Senior Databricks Architect & AI/Data Leader (FS) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and data transformations in the Financial Services sector. We want to see how your skills align with what we’re looking for, so don’t be shy about showcasing your leadership abilities!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Manager role. Share specific examples of how you’ve optimised data pipelines and led teams in the past – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention any relevant technical skills or certifications you have. We’re keen on seeing your expertise in data engineering and how you can bring that to our team. Be clear and concise about your capabilities!
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 don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at EY
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge. Be ready to discuss specific projects where you've optimised data pipelines or led transformations in the Financial Services sector. Highlight your technical skills and how they can benefit the company.
✨Showcase Your Leadership Experience
Prepare examples that demonstrate your leadership abilities. Think about times when you’ve guided a team through complex data challenges or implemented new solutions. This will show them you’re not just technically savvy but also a great leader.
✨Understand Their Business
Research the advisory firm thoroughly. Understand their values, recent projects, and how they approach data engineering. This will help you tailor your answers and show that you’re genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of the interview. Inquire about their current data challenges or future projects involving Databricks. This shows your enthusiasm for the role and helps you gauge if the company is the right fit for you.
