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- Tasks: Join a dynamic team to create scalable data solutions for the insurance sector.
- Company: Be part of a forward-thinking insurance group in a vibrant city.
- Benefits: Enjoy competitive pay, remote work options, and a collaborative culture.
- Why this job: Make an impact with data while working in a fast-paced, innovative environment.
- Qualifications: Experience in SQL, ETL, and insurance reporting is essential.
- Other info: This role offers a chance to work with cutting-edge Microsoft technologies.
The predicted salary is between 48000 - 84000 £ per year.
This range is provided by ARC IT Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from ARC IT Recruitment
Delivery Consultant at ARC IT Recruitment
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.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Consulting
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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 during discussions.
✨Tip Number 2
Network with professionals in the insurance sector, especially those who work with data engineering. Engaging in conversations about industry trends and challenges can provide valuable insights and potentially lead to referrals.
✨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 the impact your solutions had on business performance.
✨Tip Number 4
Showcase your collaborative skills by highlighting past experiences where you worked closely with stakeholders. Emphasising your ability to communicate effectively and align technical delivery with strategic objectives will resonate well with the hiring 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 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 analytical skills and experience in delivering data solutions. Mention specific projects where you collaborated with stakeholders to solve complex data challenges.
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 build scalable data pipelines.
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 in a team 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 development, and Microsoft technologies. Highlight specific projects where you've built data pipelines or worked with Azure Data Factory and Databricks.
✨Understand the Insurance Sector
Since experience within insurance is essential, brush up on key concepts related to Insurance Operations, Credit Control, and Finance functions. This will help you relate your technical skills to the industry context.
✨Demonstrate Stakeholder Management
Prepare examples of how you've collaborated with stakeholders in previous roles. Discuss how you’ve analysed their needs and implemented solutions that drive performance and decision-making through data.
✨Emphasise Your Analytical Mindset
Be ready to showcase your analytical skills by discussing how you approach complex data challenges. Provide examples of how you've assessed the impact of changes on data models and maintained data integrity.
