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- Tasks: Develop and modernise data solutions using R, Python, and Power BI.
- Company: Hannover Re, a leading company in the insurance sector.
- Benefits: Great professional development opportunities and a collaborative team culture.
- Other info: Exciting role with potential for career growth in a regulated environment.
- Why this job: Join a dynamic team and make an impact on modern analytics.
- Qualifications: Bachelor’s degree in STEM and strong coding skills required.
The predicted salary is between 45000 - 55000 £ per year.
Hannover Re in Greater London is seeking a Data & Systems Developer to maintain and modernise the data landscape. Responsibilities include developing solutions using R, Python, and Power BI, supporting data provisioning, and engaging with stakeholders to enhance reporting.
Candidates should possess a Bachelor’s degree in a STEM subject and have strong coding knowledge along with experience in a regulated environment. The role fosters a collaborative team culture and offers numerous benefits for professional development.
Data & Systems Engineer: Build Modern Analytics Platform employer: Hannover Re
Contact Detail:
Hannover Re Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Systems Engineer: Build Modern Analytics Platform
✨Tip Number 1
Network like a pro! Reach out to current employees at Hannover Re on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your work with R, Python, and Power BI. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get together with friends or fellow job seekers to conduct mock interviews. This will help us refine our answers and boost our confidence before the real deal.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can keep track of our application status easily!
We think you need these skills to ace Data & Systems Engineer: Build Modern Analytics Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with R, Python, and Power BI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data & Systems Engineer role and how your background in a regulated environment makes you a great fit for us.
Showcase Your Collaborative Spirit: Since we value teamwork, mention any experiences where you’ve worked closely with stakeholders or contributed to team projects. This will help us see how you can enhance our collaborative culture.
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 from our team!
How to prepare for a job interview at Hannover Re
✨Know Your Tech Stack
Make sure you’re well-versed in R, Python, and Power BI. Brush up on your coding skills and be ready to discuss specific projects where you've used these tools. It’s a great way to show your technical prowess and how you can contribute to modernising the data landscape.
✨Understand the Business Context
Familiarise yourself with Hannover Re and their operations. Knowing how your role as a Data & Systems Developer fits into their overall strategy will help you engage more effectively with stakeholders during the interview. It shows that you’re not just a techie but also understand the bigger picture.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills in a regulated environment. Think of examples where you’ve had to navigate challenges while ensuring compliance. This will demonstrate your ability to maintain high standards while developing solutions.
✨Show Your Collaborative Spirit
Since the role emphasises a collaborative team culture, be prepared to discuss how you’ve worked in teams before. Share experiences where you’ve successfully engaged with colleagues or stakeholders to enhance reporting or data provisioning. This will highlight your fit within their team-oriented environment.