Pricing/Actuarial - Data Engineering Manager

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

Job summary

An established industry player is seeking a Data Engineering Manager to drive a transformative pricing and underwriting initiative. This pivotal role demands a blend of actuarial expertise and technical prowess, particularly in data engineering. The successful candidate will lead the design of a centralized data analytics capability, collaborate with data science teams, and champion best practices in automation and cloud adoption. If you have a strong background in the insurance sector and are passionate about leveraging data for strategic decision-making, this is an exciting opportunity to make a significant impact.

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 centralised data analytics capability.
• Collaborate with teams to deliver actionable insights.

Skills

Python

SQL

Data Engineering

Stakeholder Engagement

Communication Skills

Education

Actuarial Science

Data Engineering

Tools

Databricks

Cloud Platforms

CI/CD Pipelines

Job description

Pricing/Actuarial - Data Engineering Manager

3 weeks ago Be among the first 25 applicants

This range is provided by Invecta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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About Invecta

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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology, Engineering, and Other

Industries

Insurance

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