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- Tasks: Design and enhance a Data Lakehouse platform for advanced analytics in insurance.
- Company: Join a leading insurance firm focused on innovative data solutions.
- Benefits: Enjoy a competitive salary, bonus, and flexible hybrid working options.
- Why this job: Be part of a fast-paced team driving impactful data projects in the insurance sector.
- Qualifications: Must have hands-on experience with Azure technologies and insurance background.
- Other info: Collaborate with diverse teams and contribute to cutting-edge data initiatives.
The predicted salary is between 72000 - 108000 £ per year.
We’re looking for a Data Engineer with strong hands-on experience in data management and Azure technologies, ideally with a background in MGA or (re)insurance environments. You’ll help design, build, and enhance a strategic Data Lakehouse platform to support advanced analytics and decision-making. This is a fast-paced, agile role that requires attention to detail, the ability to manage multiple projects, and a collaborative approach to working with regional and group teams.
Key Responsibilities:
- Develop and maintain scalable data solutions on Azure (ADF, Databricks, Synapse, etc.)
- Maintain and enhance the integrity of the Data Lakehouse in partnership with regional and group data teams.
- Partner with analytical and reporting teams to ensure data is presented accurately for performance insights.
- Ensure best practices in data governance, quality, and security
- Collaborate with business analysts, data scientists, and stakeholders across underwriting, finance, and ops
- Contribute to solution design, development assurance, and platform evolution
- Support delivery of data models, APIs, ML integrations, and reporting tools
Key Skills:
- Hands on experience designing and delivering solutions using Azure services including Azure Data Factory, Azure Databricks, Azure Synapse, Azure Storage, Azure DevOps.
- Proven track record in Data Engineering and supporting the business to gain true insight from data.
- Experience in data integration and modelling including ELT pipelines.
- Strong SQL, Python/Scala/R; experience with ELT pipelines and Power BI
- Solid knowledge of data Lakehouse architecture and Azure services
- Insurance or MGA data experience preferred
- Strong communication, stakeholder engagement, and problem-solving skills
For a full consultation on this exciting new opportunity, contact ARC IT today!
Data Engineer, Insurance employer: ARC IT Recruitment
Contact Detail:
ARC IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, Insurance
✨Tip Number 1
Make sure to highlight your insurance experience during networking events or conversations. Connect with professionals in the insurance sector and discuss your background in data engineering, as this can lead to valuable referrals.
✨Tip Number 2
Familiarise yourself with Azure technologies relevant to the role, such as Azure Data Factory and Databricks. Consider joining online forums or local meetups focused on these tools to expand your knowledge and network with others in the field.
✨Tip Number 3
Engage with our company’s social media channels and participate in discussions. This not only shows your interest in StudySmarter but also helps you stay updated on our culture and values, which can be beneficial during interviews.
✨Tip Number 4
Prepare to discuss specific projects where you've implemented data solutions using Azure services. Be ready to explain your thought process and the impact of your work, as this will demonstrate your hands-on experience and problem-solving skills.
We think you need these skills to ace Data Engineer, Insurance
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your insurance experience in your CV and cover letter. Detail any specific projects or roles where you worked with data in an MGA or (re)insurance environment.
Showcase Technical Skills: Clearly outline your hands-on experience with Azure technologies such as Azure Data Factory, Databricks, and Synapse. Provide examples of how you've used these tools in previous roles to develop scalable data solutions.
Tailor Your Application: Customise your CV and cover letter to reflect the key responsibilities and skills mentioned in the job description. Use keywords from the listing to ensure your application stands out to hiring managers.
Demonstrate Collaboration Skills: Include examples of how you've successfully collaborated with cross-functional teams, such as business analysts and data scientists, to deliver data-driven insights. This will show your ability to work in a fast-paced, agile environment.
How to prepare for a job interview at ARC IT Recruitment
✨Showcase Your Insurance Experience
Since the role specifically requires insurance experience, be prepared to discuss your background in this area. Highlight any relevant projects or roles you've had in MGA or (re)insurance environments, and how they relate to data engineering.
✨Demonstrate Technical Proficiency
Make sure you can confidently talk about your hands-on experience with Azure technologies like ADF, Databricks, and Synapse. Be ready to provide examples of how you've used these tools to develop scalable data solutions.
✨Emphasise Collaboration Skills
This role involves working closely with various teams, so it's important to demonstrate your collaborative approach. Share examples of how you've successfully partnered with business analysts, data scientists, or other stakeholders in past projects.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially in relation to data governance and quality. Think of specific challenges you've faced in previous roles and how you overcame them, particularly in a fast-paced environment.
