At a Glance
- Tasks: Manage data infrastructure and coordinate development processes within the Finance Data team.
- Company: Global insurance firm with a focus on innovation and quality.
- Benefits: Competitive salary and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in finance data management.
- Qualifications: Experience in data warehousing, Agile methodologies, and problem-solving skills.
The predicted salary is between 36000 - 60000 £ per year.
A global insurance firm is seeking a Senior Data Developer to manage data infrastructure within their Finance Data & Reporting team. In this Mid-Senior level role, you will coordinate development processes, engage with stakeholders, and ensure quality standards are met.
Ideal candidates will have experience in data warehousing, Agile methodologies, and effective problem-solving skills. This full-time position offers a competitive salary and opportunities for professional growth.
Senior Data Warehouse Engineer - Finance Data in London employer: Tokio Marine HCC International
Contact Detail:
Tokio Marine HCC International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Warehouse Engineer - Finance Data in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and data warehousing space. LinkedIn is your best mate here – connect with current employees at the company you're eyeing and ask for insights or even a referral.
✨Tip Number 2
Prepare for those interviews by brushing up on Agile methodologies and data warehousing concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Showcase your problem-solving skills! During interviews, be ready to discuss specific challenges you've faced in past roles and how you tackled them. Real-life examples will make you stand out.
✨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 take that extra step to engage with us directly.
We think you need these skills to ace Senior Data Warehouse Engineer - Finance Data in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data warehousing and Agile methodologies. 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 the perfect fit for our Finance Data & Reporting team. Share specific examples of how you've tackled challenges in previous roles.
Showcase Problem-Solving Skills: In your application, give us a glimpse of your problem-solving abilities. We love candidates who can think on their feet, so include instances where you’ve successfully navigated complex data issues.
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 during the process!
How to prepare for a job interview at Tokio Marine HCC International
✨Know Your Data Warehousing Inside Out
Make sure you brush up on your data warehousing concepts and practices. Be ready to discuss your previous experiences with data infrastructure, especially in finance. Prepare examples of how you've managed data quality and met standards in past roles.
✨Familiarise Yourself with Agile Methodologies
Since the role involves Agile processes, it’s crucial to understand Agile principles and how they apply to data development. Think of specific instances where you've used Agile in your projects and be prepared to share how it improved your workflow.
✨Engage with Stakeholders
This position requires coordination with various stakeholders, so practice articulating how you’ve successfully engaged with different teams in the past. Prepare to discuss how you’ve gathered requirements and communicated technical information to non-technical audiences.
✨Problem-Solving Scenarios
Expect to face some problem-solving questions during the interview. Think of challenging situations you've encountered in data management and how you resolved them. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.