Analytics Engineer – Telematics

• Transform raw telematics data into high-quality, productionised features for pricing, underwriting, and data science workstreams


• Design, build, and maintain scalable data models and pipelines


• Build and maintain data pipelines processing telematics sensor and driver-behaviour data


• Develop and manage feature pipelines for pricing and modelling use cases


• Transform raw data into clean, reliable, analytics-ready models using SQL and dbt


• Own datasets end-to-end, including testing, reliability, and documentation


• Optimise query and data-model performance in cloud data warehouses


• Support self-service analytics and feature engineering through data products


• Contribute to continuous improvement of the Telematics data ecosystem


• Collaborate with Data Engineers, Analysts, and Data Scientists


• Translate stakeholder requirements into technical solutions


• Work in an agile setup on ad-hoc and strategic initiatives


• Help shape analytics-engineering best practices within telematics

Requirements

• Advanced SQL skills, including complex transformations and performance optimisation


• Experience working with large-scale datasets


• Hands-on experience with dbt or similar transformation frameworks


• Experience with version control using Git


• Strong problem-solving skills and attention to data quality


• Desirable: experience with telematics, IoT, or event-stream data


• Desirable: exposure to insurance, pricing, or risk-modelling domains


• Desirable: experience with Python and CI/CD practices for data processing and pipeline development


• Desirable: familiarity with cloud data platforms such as Snowflake, Azure, or Databricks


• Willingness to complete the employer’s referencing process, including credit and criminal record checks


• Sponsorship is not available for this position

Core Competencies

Demonstrates expertise in transforming telematics data into production-ready features, optimizing data models and pipelines, and ensuring data quality through advanced SQL and dbt. Collaborates effectively with cross-functional teams to support analytics and feature engineering in a cloud environment.

Highest-signal resume keywords

• Advanced SQL Skills


• Data Pipeline Development


• Experience with dbt


• Cloud Data Platforms


• Version Control with Git

ATS Optimization Keywords

Hard Skills

• SQL


• Data Transformation


• Data Modelling


• Feature Engineering


• Data Quality Assurance


• Performance Optimisation


• Data Pipeline Processing


• Analytics-Ready Models


• Complex Transformations


• Large-Scale Datasets

Soft Skills

• Problem-Solving


• Attention to Detail


• Collaboration

Industry Keywords

• Telematics


• IoT


• Event-Stream Data


• Insurance


• Pricing


• Risk-Modelling

Tools & Technologies

• Dbt


• Git


• Snowflake


• Azure


• Databricks