Senior Data Engineer

An excellent opportunity has arisen for a Senior Data Engineer to join a respected, international insurance and analytics organisation. In this role, you will design, develop, and maintain data solutions that enhance underwriting and claims decision-making, support operational improvements, and drive data-driven strategies across multiple specialty lines.

This position is ideal for an experienced data engineering professional with strong insurance sector knowledge, looking to make a significant impact in a high-profile analytics function.

About the Team

The data and analytics team works across multiple international specialty lines, including cyber, energy, equine, marine, professional and financial risks, trade credit, political risk and surety, and international casualty. Its remit covers:

• Data engineering and analytics

The team is embedded within underwriting operations and plays a key role in achieving profitability and performance targets.

What You’ll Bring

• A collaborative, proactive, and solutions-focused mindset.
• Ability to influence and engage with stakeholders to ensure data solutions meet business needs.
• Willingness to learn new technologies and act as a subject matter expert within the team.
• Commitment to delivering high-quality outputs that drive strategic and operational decisions.

Values

• People First – Empowering and supporting colleagues and customers.
• Winning Together – Sharing ideas, respecting opinions, and achieving goals collaboratively.
• Striving for Better – Pursuing excellence and continuous improvement.
• Enjoying the Everyday – Bringing positivity and humour to work.
• Thinking Further – Building a lasting impact for customers, partners, and communities.

Key Responsibilities

• Develop and deliver business analytics solutions across all divisions, enabling data-driven decision-making in support of the Data, Analytics & Insights function.
• Design, implement, and maintain automated data solutions, streamlining processes and improving efficiency.
• Build, refine, and optimise data models to enhance underwriting and claims processes.
• Maintain high standards of data quality, integrity, and governance across all systems.
• Collaborate with IT to integrate new systems and technologies into the existing data ecosystem.
• Source, standardise, and consolidate datasets to create unified views within cloud-based analytics platforms.
• Act as a representative for the data function in cross-functional projects with actuarial, IT, finance, compliance, reinsurance, delegated authorities, and underwriting support teams.

Key Skills & Experience

• Proven track record in data engineering within the insurance sector, ideally with London Market experience.
• Strong knowledge of insurance data models, including policy, claims, and risk-related structures.
• Expertise in Azure Cloud Services (Data Factory, Databricks, Key Vault, Azure SQL) and data warehousing methodologies (Kimball, Inmon).
• Proficiency in T-SQL for data transformation and summarisation, with Python skills for building data pipelines.
• Advanced Excel skills for manipulating and analysing large, complex datasets.
• Experience delivering process automation and driving continuous improvement initiatives.
• Excellent stakeholder engagement, communication, and influencing skills.
• Highly organised, adaptable, and confident in managing multiple priorities in a fast-paced environment.

If you have the skills, experience, and drive to excel in this role, we’d love to hear from you.