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Analytics Engineer – Telematics
Hastings DirectAnalytics Engineer transforming telematics data into productionised features for Hastings Direct’s digital insurance business. Building SQL/dbt pipelines that support pricing, underwriting, and data science across the UK.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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 SkillsData Pipeline DevelopmentExperience with dbtCloud Data PlatformsVersion Control with Git
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData TransformationData ModellingFeature EngineeringData Quality AssurancePerformance OptimisationData Pipeline ProcessingAnalytics-Ready ModelsComplex TransformationsLarge-Scale Datasets
Soft Skills
Problem-SolvingAttention to DetailCollaboration
Tools & Technologies
DbtGitSnowflakeAzureDatabricks
Industry Keywords
TelematicsIoTEvent-Stream DataInsurancePricingRisk-Modelling
Tech Stack
Tools & technologiesAzureCloudIoTPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Benefits
Comp & perks- Flexible hybrid working approach
- Competitive bonus scheme; all colleagues are eligible for the annual 4Cs performance bonus
- 4x salary life assurance cover
- Income protection at no extra cost
- Matched pension contributions up to 10%
- Discounts and cashback
- Free independent mortgage advice
- Free access to financial wellbeing support
- Thrive mental health app
- Colleague assistance programme available 24/7
- In-house mental health first aiders
- Support groups and dedicated wellbeing support team
- 25 days annual leave plus bank holidays
- Option to buy or sell one week of annual leave
- Health care cashback plans
- Dental plans
- Discounted health assessments
- Cycle to work scheme
- Tech schemes
- Discounted and free onsite facilities
- Social events throughout the year
- Support, training and development