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- Tasks: Join a dynamic team to deliver scalable data solutions for an insurance group.
- Company: Be part of a thriving city-based insurance group focused on innovation.
- Benefits: Enjoy a collaborative environment with opportunities for professional growth.
- Why this job: Make a real impact by driving performance and decision-making through data.
- Qualifications: Experience in SQL, ETL, and insurance is essential; strong analytical skills required.
- Other info: Work closely with stakeholders and promote teamwork in a fast-paced setting.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Engineer is required to join a forward-thinking data team within a thriving city-based insurance group. This role will see you playing a critical role in delivering reliable, scalable and business-focused data solutions. With a strong focus on Microsoft technologies and cloud-based tools, you’ll work directly with key business stakeholders, MI teams and technical teams to drive performance and decision-making through data. The ideal candidate here will have a strong background in MI or reporting—experience within insurance is essential. Key Responsibilities Deliver data solutions and changes that support evolving business requirements. Build and maintain robust, scalable data pipelines using SQL and ETL best practices. Collaborate with stakeholders to analyse, define and implement solutions to complex data challenges. Proactively assess the impact of changes on the broader data model and ensure integrity is maintained. Work alongside the MI/reporting team to ensure data is accurately reflected in dashboards and reporting tools. Consult with business analysts, system owners and architects to align technical delivery with strategic objectives. Build deep knowledge of internal systems and promote collaboration across teams. Key Skills & Experience: Significant experience with SQL and ETL development. Strong experience with MS SQL Server, T-SQL, Azure Data Factory, Azure Databricks, Python, Data Lake. Strong background in MI or reporting—experience within an MGA or insurance carrier is essential. A sharp analytical mind with the ability to work quickly, efficiently and methodically. Strong communication skills with excellent stakeholder management and influencing skills. Solid understanding of Insurance Operations, Credit Control, and Finance functions. A team player who thrives in an agile, fast-moving, and highly collaborative environment. For a full consultation on this pivotal role, send your CV to ARC IT Recruitment today.41bf1e1f-b16b-4260-a40a-17c77a06fd15
Senior 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 Senior Data Engineer, Insurance
✨Tip Number 1
Familiarise yourself with the specific Microsoft technologies mentioned in the job description, such as Azure Data Factory and Azure Databricks. Having hands-on experience or projects showcasing these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the insurance industry, especially those who work with data engineering. Attend relevant meetups or webinars to gain insights and potentially get referrals that could help you land the job.
✨Tip Number 3
Prepare to discuss your experience with MI and reporting in detail. Be ready to share specific examples of how you've tackled complex data challenges and collaborated with stakeholders to deliver impactful solutions.
✨Tip Number 4
Showcase your understanding of insurance operations during interviews. Being able to articulate how data solutions can drive performance and decision-making in this sector will demonstrate your fit for the role.
We think you need these skills to ace Senior Data Engineer, Insurance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, ETL development, and Microsoft technologies. Emphasise any previous roles in insurance or MI/reporting to align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the insurance industry and your ability to deliver data solutions. Mention specific projects where you've built scalable data pipelines or collaborated with stakeholders.
Highlight Relevant Skills: In your application, clearly outline your proficiency with tools like Azure Data Factory, Azure Databricks, and Python. Provide examples of how you've used these skills to solve complex data challenges.
Showcase Communication Skills: Since strong communication and stakeholder management are key for this role, include examples in your application that demonstrate your ability to work collaboratively and influence decision-making within teams.
How to prepare for a job interview at ARC IT Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, ETL development, and Microsoft technologies. Highlight specific projects where you've built data pipelines or worked with Azure Data Factory and Databricks, as this will demonstrate your technical expertise relevant to the role.
✨Understand the Insurance Landscape
Since experience within insurance is essential, make sure you can speak knowledgeably about industry-specific challenges and how your skills can address them. Familiarise yourself with key terms and concepts in insurance operations to show that you’re not just technically proficient but also understand the business context.
✨Prepare for Stakeholder Interaction
Given the collaborative nature of the role, be ready to discuss how you've successfully worked with stakeholders in the past. Prepare examples that showcase your communication skills and ability to influence decision-making, as these are crucial for aligning technical delivery with strategic objectives.
✨Demonstrate Analytical Thinking
The role requires a sharp analytical mind, so be prepared to solve hypothetical data challenges during the interview. Practice articulating your thought process clearly and methodically, as this will help interviewers see how you approach complex problems and maintain data integrity.
