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For Companies At a Glance
- Tasks: Develop and maintain strategic data platforms to enhance analytics and insights.
- Company: Join a leading insurance provider focused on nurturing top talent.
- Benefits: Enjoy a competitive salary, flexible work options, and a supportive team culture.
- Why this job: Be part of an innovative team making a real impact in the insurance industry.
- Qualifications: Experience with Azure services, SQL, Python, and a background in insurance required.
- Other info: Interviews are happening soon, so don't miss out on this exciting opportunity!
The predicted salary is between 48000 - 72000 £ per year.
Overview
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.
Responsibilities
- Develop and maintain strategic data platforms, especially Data Lakehouse, to enhance underwriting analytics and business insights.
- Collaborate with stakeholders and report to the Group Lead Data Engineering.
Qualifications
- 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!
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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
Familiarise yourself with Azure services, 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
Brush up on your SQL and Python skills. Prepare to demonstrate your proficiency in these languages during the interview by discussing relevant projects or challenges you've tackled using them.
✨Tip Number 3
Research the insurance industry and understand how data engineering plays a role in underwriting analytics. This knowledge will help you connect your technical skills to the business needs of the company.
✨Tip Number 4
Network with professionals in the insurance sector or data engineering field. Engaging with others can provide insights into the company culture at Finitas and may even lead to referrals, increasing your chances of landing an interview.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Engineer at Finitas. Familiarise yourself with key technologies mentioned in the job description, such as Azure Data Factory and Azure Databricks.
Tailor Your CV: Highlight your hands-on experience with Azure services, SQL, and Python in your CV. Make sure to include any relevant projects or roles that demonstrate your expertise in these areas, especially within the insurance sector.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the job requirements. Emphasise your background in insurance and how it aligns with the company's goals in enhancing underwriting analytics.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. 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 SQL and Python to solve data-related challenges.
✨Understand the Insurance Industry
Since the role is within the insurance sector, having a solid understanding of industry-specific data needs and challenges will set you apart. Brush up on how data engineering impacts underwriting analytics and business insights in insurance.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about past experiences where you had to design or deliver data solutions and be ready to explain your thought process and the outcomes.
✨Ask Insightful Questions
At the end of the interview, ask questions that demonstrate your interest in the company and the role. Inquire about their current data initiatives or how they envision the evolution of their data platforms in the future.
