About the Role:
Do you have the desire and drive to work on the latest in data technologies and build enterprise solutions in the cloud? Liberty International Insurance is building a London based engineering team specializing in data and analytics for a fortune company. As a key member of this team, you will play a pivotal role in designing and implementing data warehousing solutions using Snowflake and AWS. You will help drive the evolution of our data architecture as we move our North Star from Redshift to Snowflake.
At Liberty, we deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the centre of everything we do is driving a transformational shift at Liberty. Operating as a tech startup within a Fortune company, we are leading a digital disruption that will redefine how people experience insurance.
Key Responsibilities:
•Design and implement scalable, secure, and cost-efficient data solutions on AWS, leveraging services such as Glue, Lambda, S3, Redshift, and Step Functions. • Lead the development of robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability. • Demonstrate proficiency in software engineering principles, contributing to the development of reusable libraries, APIs, and infrastructure-as-code components that support the broader data and analytics ecosystem. • Contribute to the evolution of the team’s data engineering standards and best practices, including documentation, testing, and architectural decisions. • Develop and maintain data models and data marts that support self-service analytics and enterprise reporting. • Drive automation and CI/CD practices for data workflows, ensuring reliable deployment and monitoring of data infrastructure. • Ensure data quality, security, and compliance with internal policies and external regulations. • Continuously optimize data processing workflows for performance and cost, using observability tools and performance metrics. • Collaborate cross-functionally with DevOps, analytical engineers, data analysts, and business stakeholders to align data solutions with product and business goals. • Mentor and support team members through code reviews, pair programming, and knowledge sharing, fostering a culture of continuous learning and engineering excellence.
Skills and Experience:
• Bachelor’s degree or higher in a technical discipline • Proven experience as a data engineer with strong hands-on programming skills and software engineering fundamentals, with experience building scalable solutions in cloud environments (AWS preferred) • Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway • Solid foundation in software engineering principles, including version control (Git), testing, CI/CD, modular design, and clean code practices. • • • •Experience developing reusable components and APIs is a strong plus.• Advanced SQL skills for complex data queries and transformations • Proficiency in at least one programming language, with Python strongly preferred for data processing, automation, and pipeline development • Strong acumen for application health through performance monitoring, logging, and debugging • AWS or Snowflake certifications are a plus
About Liberty Specialty Markets (LSM)
Liberty Specialty Markets is part of Global Risk Solutions and the broader Liberty Mutual Insurance Group, which is a leading global insurer. We offer a breadth of world-class insurance and reinsurance services to brokers and insureds in all major markets.
Our people are key to our success. That is why "Put People First" is one of the five Liberty values which unite us as a global organisation. We bring this to life for our colleagues through:
• Offering a vibrant and inclusive environment and committing to their career development. • Promoting diversity, equity and inclusion (DEI). Our Inclusion Matters framework and employee-led networks strengthen the diversity of our workforce and our inclusive environment. • Reinforcing that collaborating together to share our unique perspectives help us make better decisions, deliver innovative solutions and pursue our ambitious goals. • A supportive culture, which includes promoting a healthy work-life balance and working flexibly.
