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- Tasks: Develop and maintain data platforms to boost analytics and insights.
- Company: Join a leading insurance provider known for nurturing top talent.
- Benefits: Enjoy a competitive salary and flexible working arrangements.
- Why this job: Be part of a dynamic team making impactful decisions in the insurance sector.
- Qualifications: Experience with Azure services, SQL, Python, and a background in insurance required.
- Other info: Interviews are next week, so don’t miss out on this opportunity!
The predicted salary is between 54000 - 126000 £ per year.
Data Engineer London Insurance, 3 days in the office per week Up to £90,000 (DOE) Finitas are delighted to be working with a leading provider of insurance on a Data Engineer position. Reporting to the Group Lead Data Engineering, the role focuses on developing and maintaining strategic data platforms, especially Data Lakehouse, to enhance underwriting analytics and business insights. Key requirements Hands on experience designing and delivering solutions using Azure services including Azure Data Factory, Azure Databricks High proficiency in SQL and Python Insurance background If you are looking for a company who nurture and retain the best talent in the market then apply today. Interviews are happening next week, this role won’t be around for long!
Data Engineer employer: Finitas
Contact Detail:
Finitas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Make sure to brush up on your Azure services knowledge, especially Azure Data Factory and Azure Databricks. Being able to discuss specific projects where you've used these tools will show your hands-on experience and make you stand out.
✨Tip Number 2
Familiarise yourself with the insurance industry, particularly how data engineering impacts underwriting analytics. This will help you demonstrate your understanding of the business context during interviews.
✨Tip Number 3
Prepare to showcase your SQL and Python skills through practical examples. You might be asked to solve a problem or explain your thought process, so having clear examples ready can really impress the interviewers.
✨Tip Number 4
Network with professionals in the data engineering field, especially those with experience in insurance. Engaging with them can provide insights into the role and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with Azure services, SQL, and Python. Include specific projects or achievements that demonstrate your skills in these areas, especially related to data engineering.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your insurance background and how it aligns with the company's goals. Be sure to explain why you are a great fit for their team.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving Data Lakehouse or underwriting analytics, be sure to include them in your application. This will help demonstrate your practical experience and problem-solving abilities.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at Finitas
✨Showcase Your Technical Skills
Make sure to highlight your hands-on experience with Azure services, especially Azure Data Factory and Azure Databricks. Be prepared to discuss specific projects where you utilised these tools, as this will demonstrate your capability to deliver solutions effectively.
✨Demonstrate SQL and Python Proficiency
Since high proficiency in SQL and Python is a key requirement, be ready to answer technical questions or even solve problems on the spot. Brush up on common SQL queries and Python data manipulation techniques to impress your interviewers.
✨Understand the Insurance Sector
Having an insurance background is essential for this role. Familiarise yourself with industry-specific terminology and challenges. This knowledge will not only help you answer questions more effectively but also show your genuine interest in the sector.
✨Prepare Questions for Your Interviewers
Interviews are a two-way street, so prepare insightful questions about the company's data strategy and how they leverage data for underwriting analytics. This shows that you are engaged and serious about contributing to their goals.
