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- Tasks: Join a dynamic team to build scalable data pipelines and enhance modern Lakehouse architecture.
- Company: Be part of a fast-evolving (re)insurance business at the heart of the Lloyd's market.
- Benefits: Enjoy a competitive salary, bonus, and benefits with hybrid work options.
- Why this job: Contribute to a major data transformation and support smarter decision-making across the business.
- Qualifications: Experience with Databricks, PySpark, Azure, and a background in financial services is a plus.
- Other info: This is a hands-on role in a collaborative environment with opportunities for growth.
The predicted salary is between 51000 - 85000 £ per year.
A Data Engineer is required for a fast-evolving (re)insurance business at the heart of the Lloyd's market, currently undergoing a major data transformation. With a strong foundation in the industry and a clear vision for the future, they are investing heavily in their data capabilities to build a best-in-class platform that supports smarter, faster decision-making across the business.
As part of this journey, they are looking for a Data Engineer to join their growing team. This is a hands-on role focused on building scalable data pipelines and enhancing a modern Lakehouse architecture using Databricks, PySpark, and Azure. The environment is currently hybrid cloud and on-prem, with a strategic move towards Microsoft Fabric - so experience across both is highly valued.
- Building and maintaining robust data pipelines using Databricks, PySpark, and Azure Data Factory.
- Working across both cloud and on-prem environments, supporting the transition to Microsoft Fabric.
- Collaborating with stakeholders across Underwriting, Actuarial, and Finance to deliver high-impact data solutions.
- Support DevOps practices and CI/CD workflows in Azure.
- Experience in Financial Services or Lloyd's market is a plus.
Data Technology Performance Engineer employer: Pioneer Search
Contact Detail:
Pioneer Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Technology Performance Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Databricks, PySpark, and Azure. Consider building a small project or contributing to open-source projects that utilise these tools to demonstrate your hands-on experience.
✨Tip Number 2
Network with professionals in the Lloyd's market or financial services sector. Attend industry meetups or webinars to connect with potential colleagues and learn more about the data transformation initiatives happening in the field.
✨Tip Number 3
Showcase your understanding of hybrid cloud environments and Microsoft Fabric by discussing relevant case studies or experiences during interviews. This will highlight your ability to adapt to the company's evolving data strategy.
✨Tip Number 4
Prepare to discuss your experience with CI/CD workflows and DevOps practices in Azure. Being able to articulate how you've implemented these processes in past roles will set you apart as a candidate who can contribute to their data engineering goals.
We think you need these skills to ace Data Technology Performance Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with Databricks, PySpark, and Azure. Use specific examples of projects where you've built data pipelines or worked in hybrid cloud environments to demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your understanding of their data transformation journey and how your background aligns with their needs, particularly in financial services or the Lloyd's market.
Showcase Technical Skills: Clearly outline your technical skills related to Azure Data Factory, CI/CD workflows, and Microsoft Fabric. Consider including a section in your CV that lists these skills prominently to catch the hiring manager's attention.
Highlight Collaboration Experience: Since the role involves working with various stakeholders, include examples of past collaborations in your application. Describe how you’ve successfully partnered with teams in underwriting, actuarial, or finance to deliver impactful data solutions.
How to prepare for a job interview at Pioneer Search
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Databricks, PySpark, and Azure in detail. Highlight specific projects where you've built scalable data pipelines or worked with hybrid cloud environments, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Research the (re)insurance industry and the Lloyd's market before your interview. Understanding how data impacts decision-making in these sectors will help you articulate how your skills can contribute to their data transformation journey.
✨Emphasise Collaboration
Since the role involves working with various stakeholders, be ready to share examples of how you've successfully collaborated with teams across different functions, such as Underwriting or Finance. This will show your ability to deliver high-impact data solutions.
✨Familiarise Yourself with Microsoft Fabric
As the company is transitioning towards Microsoft Fabric, make sure you understand its role in enterprise data platforms. Being able to discuss its features and benefits will demonstrate your proactive approach and alignment with their strategic goals.
