Staff Analytics Engineer

Travelers

Staff Analytics Engineer at Simply Business creating AI/ML ready data models and pioneering technical standards. Collaborating with teams to manage scalable architecture and real-time data processing.

Posted 7/18/2026full-timeLondon • 🇬🇧 United KingdomLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data modeling, transformation, and integration for machine learning pipelines, with a strong focus on building scalable architectures and advanced analytical features. Proficient in managing ELT pipelines and collaborating with cross-functional teams to drive analytics and machine learning initiatives.

Highest-signal resume keywords

Data ModelingMachine Learning PipelinesCloud Data Warehouse ExperienceELT Pipeline ManagementTool Evaluation for AI and ML

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData TransformationProgramming KnowledgeReal-Time ApplicationsAnalytics

Soft Skills

CollaborationProblem-Solving

Tools & Technologies

DbtSnowflakeDatabricksApache Flink

Industry Keywords

Insurance Domain Knowledge

Tech Stack

Tools & technologies

ApacheCloud

About the role

Key responsibilities & impact

Create and own key data models in data warehouse
Pioneer new tools and technologies for advanced analytical features
Integrate fresh data sources for machine learning pipelines
Collaborate with business and engineering teams for scalable architecture
Manage ELT pipelines for reporting systems
Guide product and engineering teams for analytics and ML requirements

Requirements

What you’ll need

5+ years of experience in analytics or data engineering
Strong technical background with a love for complex projects
Deep expertise in data modelling and transformation
Hands-on experience using tools like dbt
Cloud data warehouse experience using platforms like Snowflake or Databricks
Track record of building ML features for real-time applications
Strong tool-evaluation skills for AI and ML readiness
Broad programming knowledge
Exposure to real-time streaming frameworks like Apache Flink (insurance domain knowledge is a plus)

Benefits

Comp & perks

25 days annual leave (plus bank holidays)
Option to buy five more days of holiday
Flexible parental leave with six months full pay for primary caregiver
Four weeks full pay for secondary caregiver
Extra day of leave every two years for life events
Two week paid sabbatical after five years of service
Four weeks off after ten years of service
Private medical insurance through BUPA
Health cash plan covering everyday medical expenses
Competitive salary based on experience and market
Potential annual bonus based on performance
Access to personal development tools on dedicated learning platform
Mental health support with access to counselling
Pension matching up to five per cent
Tax-free life assurance sum four times basic salary (option to increase to ten times)
Salary sacrifice car scheme for new cars