Pricing/Actuarial - Data Engineering Manager

ZipRecruiter; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is looking for a Data Engineering Manager to spearhead a transformative data initiative in the insurance sector. This pivotal role involves leading the design of a centralized data analytics capability, collaborating with data science teams, and overseeing the development of ETL pipelines using cutting-edge technologies like Databricks. Ideal candidates will have a strong actuarial background or extensive data engineering experience, paired with advanced programming skills in Python and SQL. Join a forward-thinking organization where you can drive strategic value from data and make a significant impact on commercial decision-making.

Qualifications

• Actuarial background with a focus on data and transformation.
• Strong data engineering experience within the insurance sector.

Responsibilities

• Lead the design and build of a centralized data analytics capability.
• Collaborate with data science teams to deliver actionable insights.

Skills

Python

SQL

Data Engineering

Stakeholder Engagement

Analytical Skills

Education

Actuarial Science

Data Engineering

Tools

Databricks

Cloud Platforms

CI/CD Pipelines

Job description

Job Description

A leading insurance organisation is seeking a Data Engineering Manager to play a pivotal role in a large-scale pricing and underwriting transformation programme. This opportunity is particularly well-suited to actuarial professionals with a strong technical/data background who are moving into data engineering, or experienced data engineers with exposure to the commercial insurance sector.

This is a high-impact role within a central data function supporting pricing, underwriting, and broader commercial decision-making - ideal for someone who understands both the technical and strategic value of data in an insurance context.

Key Responsibilities:

• Lead the design and build of a centralised data analytics capability to support technical underwriting and pricing.
• Collaborate with data science and programme teams to deliver robust, accurate, and actionable insights.
• Oversee the development of ETL pipelines, reporting frameworks, and a new underwriting datamart built on Databricks.
• Champion data engineering best practices, automation, and cloud adoption across the function.
• Work closely with senior stakeholders to shape strategy and deliver value from data initiatives.

Ideal Candidate Profile:

• Actuarial background with a focus on data and transformation, or strong data engineering experience within the insurance sector.
• Advanced programming skills in Python and SQL.
• Experience with Databricks, cloud platforms, and CI/CD pipelines is highly desirable.
• Proven ability to manage teams and/or complex projects with a strong focus on stakeholder engagement.
• Exceptional communication and analytical skills, with the ability to simplify complexity and drive meaningful outcomes.