Senior Data Engineer - Insurance - London/Hybrid - TWE42956

ZipRecruiter; London; On-site; GBP 65,000 - 90,000; Full time

Job summary

A leading global insurance company is seeking a Senior Data Engineer to develop advanced analytics solutions for their Portfolio Analytics team. You will work with data pipelines, collaborate with multiple teams, and ensure data integrity. The ideal candidate has strong experience with Azure Cloud Services and SQL Server in the insurance sector. This role offers opportunities for career progression within a collaborative and innovative environment.

Benefits

Collaborative environment

Cutting-edge technology projects

Supportive mentorship

Qualifications

• Hands-on experience with Azure Cloud Services (Data Factory, Databricks).
• Strong knowledge of SQL Server and database development.
• Experience in the insurance sector, ideally specialty or London Market.

Responsibilities

• Design and implement automated data pipelines.
• Develop business analytics solutions and data models.
• Collaborate with cross-functional teams to support business priorities.

Skills

Azure Cloud Services

SQL Server

Data warehousing methodologies

Python programming

Power BI

Stakeholder engagement

Tools

Databricks

Azure SQL

Key Vault

Job description

Overview

twentyAI is partnering with a leading global insurance company, recognised for its innovative risk solutions across sectors such as marine, professional liability, and trade credit. The company operates across multiple international markets, leveraging cutting-edge technology to provide top-tier insurance products and services. They are seeking a talented Senior Data Engineer for their Portfolio Analytics team who can develop business analytics solutions to improve underwriting processes.

THE ROLE

As a Senior Data Engineer, you will play a key part in developing advanced analytics solutions that support business growth and smart decision-making across the wholesale insurance market. You'll design and implement automated data pipelines, integrate new technologies, and deliver vital insights for underwriting, claims, and business operations.

• Work closely with data engineers and Power BI developers to create, transform, and visualise data for client and underwriting teams.
• Develop business analytics solutions and data models to empower data-driven decisions.
• Collaborate with cross-functional teams including IT, actuarial, and finance to support business priorities.
• Manage and enhance both on-premises and cloud-based data platforms using SQL Server, Databricks, and Azure.
• Ensure data integrity, quality, and governance across complex datasets, including those from insurance core systems.
• Contribute to the evolution of team processes, onboarding of new tech, and knowledge sharing.
• Opportunity to progress into a leadership role, taking over management of core data engineering functions.

YOUR BACKGROUND

• Hands-on experience with Azure Cloud Services (Data Factory, Databricks, Azure SQL, Key Vault).
• Strong knowledge of SQL Server, database development, and maintenance.
• Data warehousing methodologies (Kimball or Inmon).
• Python programming for data pipelines
• Experience in the insurance sector, ideally specialty or London Market.
• Familiarity with insurance data models and systems (e.g., Verisk Impact, Eclipse) is highly desirable.
• Proficiency in Power BI for dashboard and business intelligence development.
• Excellent stakeholder engagement and communication abilities.
• Experience with data architecture (advantageous).

WHY JOIN?

• Be part of a collaborative, forward-thinking data analytics team making a real impact in international insurance.
• Work on innovative projects with cutting-edge cloud and data technologies.
• Supportive environment focused on learning and sharing knowledge with experienced mentors.
• Exposure to both on-premises and cloud data management platforms.
• Make a meaningful difference within a vital area of the business with high demand for your expertise.

NEXT STEPS

If you’re ready to take the next step in your data engineering career and want to work in a dynamic, mission-driven team, we want to hear from you! Click apply or reach out to [e-mail]