Job Title Analytics Engineer

Division Technology

Reports to Head of Reporting and Analytics

Location London

Website www.amwinsglobalrisks.com

Amwins Global Risks

At Amwins Global Risks, we succeed together. We’re not ‘just another London broker’ placing risks and signing contracts. We’re forging relationships that are built to last. With over 600 employees around the world and a global footprint across more than 150 countries, we’ve cemented our place as a top 10 contributor to Lloyd’s.

Insurance is a relationship-based business, and achieving success means hiring the best talent in the industry. When you join us, we will encourage and support your professional and personal development as we invest in you and your learning to help you succeed and grow.

We believe in a flat organisational structure that prizes expertise and relationships equally. Unlike most of our competitors, we don’t have an executive team sitting on top of the business. We’ve built a workplace where talent, collaboration and inclusivity are valued, and our commitment to diversity, equity and inclusion helps cultivate an open, welcoming workplace where everyone who works with us can be themselves.

Introduction

In this role, you will design, build, and maintain analytic applications that powers our organisation's data and analytical ecosystem. You'll be responsible for developing robust data pipelines, optimising data storage solutions, generating analytical insight and ensuring data availability and reliability across systems.

Responsibilities

Design, develop, and implement scalable data pipelines to ingest, transform, and load data from diverse sources
Build and maintain data infrastructure components including databases, data lakes, and data warehouses
Create and optimise analytics-focused data models that enable efficient reporting and insight generation
Optimise data systems for performance, reliability, and scalability
Implement data quality controls and monitoring to ensure data accuracy and consistency
Support and enable others within the Data & Analytics functions in their utilisation of data engineering principles
Create and maintain documentation for data systems and processes
Troubleshoot and resolve data infrastructure issues
Implement security protocols to protect sensitive data
Stay current with emerging technologies and best practices in data engineering

Competencies/Knowledge/Qualifications

Bachelor's degree in Computer Science, Engineering, or related technical field
Solid foundation of practical experience in data engineering
Strong programming skills in languages such as Python, Java, or Scala
Experience with SQL and database systems (relational and NoSQL)
Experience with data pipeline tools and ETL frameworks (Airflow, Kafka, Spark, etc.)
Knowledge of cloud platforms (AWS, Azure, GCP) and their services
Understanding of data modelling concepts and techniques
Experience with Azure DevOps Pipelines and understanding of CI/CD principle

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