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For Companies At a Glance
- Tasks: Join a dynamic team to deliver scalable data solutions in the insurance sector.
- Company: Be part of a thriving city-based insurance group focused on innovation.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth.
- Why this job: Make an impact by driving performance and decision-making through data.
- Qualifications: Experience in SQL, ETL, and insurance MI is essential; strong analytical skills required.
- Other info: Work closely with stakeholders and technical teams in a fast-paced setting.
The predicted salary is between 48000 - 84000 £ per year.
Job Description
SQL, ETL, Azure
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 insurance MI or reporting—experience within an MGA or insurance carrier 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 insurance 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.
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 tools and technologies mentioned in the job description, such as Azure Data Factory and Databricks. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Network with professionals in the insurance industry, especially those who work with data. Attend industry meetups or webinars to connect with potential colleagues and learn more about the challenges they face, which can help you tailor your approach.
✨Tip Number 3
Prepare to discuss real-world examples of how you've built and maintained data pipelines. Be ready to explain your thought process and the impact of your solutions on business performance, as this will demonstrate your practical experience.
✨Tip Number 4
Showcase your understanding of insurance operations and how data plays a role in decision-making. Being able to speak the language of the industry will help you connect with stakeholders and demonstrate your value to the team.
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, and Microsoft technologies. Emphasise any previous roles in insurance MI or reporting, particularly within an MGA or insurance carrier.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and how your skills align with the company's needs. 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 Azure Data Factory, Azure Databricks, and Python. Provide examples of how you've used these tools 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.
How to prepare for a job interview at ARC IT Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, ETL, and Microsoft Azure technologies in detail. Highlight specific projects where you've built data pipelines or worked with Azure Data Factory and Databricks, as this will demonstrate your hands-on expertise.
✨Understand the Insurance Sector
Since the role is within the insurance industry, brush up on key concepts related to MI and reporting in this field. Be ready to discuss how your previous experience in an MGA or insurance carrier has equipped you to handle the unique challenges of this sector.
✨Prepare for Stakeholder Interaction
Expect questions about how you collaborate with stakeholders. Prepare examples of how you've successfully communicated complex data solutions to non-technical teams, ensuring that you can illustrate your strong communication and influencing skills.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss specific data challenges you've faced and how you approached solving them. This could involve detailing your thought process, the tools you used, and the outcomes, showcasing your analytical mindset and ability to work methodically.
