Analytics Engineer - Telematics

Analytics Engineer – Telematics

Location:

Leicester / Bexhill / London – Hybrid

Welcome to Hastings Direct We’re a digital insurance provider with a clear strategy to become the best and biggest player in the UK market. As a company, we’ve made huge investments in our technology, pricing, data and analytics capabilities over the past few years, along with nurturing our 4

Cs culture and substantial investment in our people. And as a Finance team, we’re doing exactly the same – building a market leading finance technology platform, investing in our team and our approach to leadership development, with a real focus on commercially adding value to the business.

The fact you’re now reading this job advert means we’ve tempted you to find out more about #lifeatHD. If you like what you see, we hope you'll consider joining our team. We have high standards and understand some people may not apply for jobs unless they feel they tick every box. If you’re excited about joining us and think you have some of what we are looking for, even if you’re not 100% sure, we would love to hear from you.

Role Purpose As an Analytics Engineer in the Telematics Engineering team, you’ll play a key role in transforming raw telematics data into high-quality, productionised features that power pricing, underwriting, and data science work streams. Sitting at the intersection of data engineering and analytics, you’ll design, build, and maintain scalable data models and pipelines that enable teams across Hastings to unlock value from telematics data.

You’ll work closely with Data Engineers, Analysts, and Data Scientists, within a modern data platform (Snowflake, Azure, dbt) to deliver high-impact data products. These features directly influence pricing accuracy, risk assessment and the fairness of outcomes for millions of customers.

• Build and maintain robust, scalable data pipelines to process telematics (sensor/driver behaviour) data
• Develop and manage feature pipelines to create curated datasets for pricing and modelling use‑cases
• Transform raw data into clean, reliable, and analytics‑ready data models using SQL and dbt
• Own datasets end‑to‑end, including testing, reliability and documentation
• Optimise performance of queries and data models within cloud data warehouse environments
• Support self‑service analytics and feature engineering through well‑designed data products
• Contribute to continuous improvement of the Telematics data ecosystem and feature engineering capabilities

• Advanced SQL skills (complex transformations, performance optimisation) and experience working with large‑scale datasets
• Hands‑on experience with dbt (or similar transformation frameworks)
• Experience with version control (Git)
• Strong problem‑solving skills and attention to data quality

• Experience working with telematics / IoT / event‑stream data
• Exposure to insurance, pricing, or risk modelling domains
• Experience with Python and CI/CD practices for data processing and pipeline development
• Familiarity with cloud data platforms (e.g. Snowflake, Azure, Databricks)

• Collaborate to enable teams across the business to build meaningful telematics‑derived features
• Work in an agile setup, contributing to both ad‑hoc and strategic initiatives
• Engage with stakeholders across the business to translate requirements into technical solutions
• Help shape best practices in analytics engineering within telematics

• Recruiter screening call
• Intro with Hiring manager
• Interview with hiring team – Case study

As a Disability Confident employer, we’re committed to ensuring our recruitment processes are fully inclusive – what this means to you is if you’re applying for a job with us, you’ll have fair access to support and adjustments throughout your recruitment journey. We also welcome applications through the Disability Confident Scheme (DCS). For more information on the DCS, please visit our inclusive business page on our careers website.

• Flexible working – we champion a flexible hybrid working approach – please speak to your recruiter to discuss in more detail
• Competitive bonus scheme - all…