Discovery – Insure

Telematics Engineer

About Discovery

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

About Discovery Insure

Discovery Insure is committed to creating a nation of great drivers through our innovative Shared-value Insurance model. Discovery Insure is South Africa’s fastest growing short-term insurance company with comprehensive products that provide protection against current and emerging risks facing clients in the motor and home insurance sectors. Vitality Drive, an internationally-recognised and award-winning programme, is a key differentiator in the market that incentivises and rewards clients for driving well. The Vitality Drive programme has been scaled to local and international markets which now include Europe and the Middle East. The company employs over 1 000 people who are committed to putting our customers and financial advisers first by providing unique and innovative solutions and cover.

About Discovery Insure’s Telematics Team

Discovery Insure core purpose is to create a nation of great drivers. It enables this through discovery’s shard value model which leverages telematics to encourage clients to drive well through a rich set of rewards.

The Telematics team within Discovery Insure is responsible for managing and innovating on our core telematics offerings and solutions which currently spans across M2M hard wired devices and our smartphone-based telematics offering.

The team consist of a number of engineers spanning various disciplines from cloud skillsets, develops, mobile, hardware/firmware and IoT and Data science leveraging a number of technologies.

The team is encouraged to continuously learn and evolve with changing technology trends and to cross skill between the various disciplines.

Key Purpose

To build on our current telematics reporting platform and enhance the features running with technical projects from end to end including design and implementation of the solutions. You will also be required to analyse large amounts of data to find key business value and insights.

Areas of responsibility may include but are not limited to

Develop and manage BI dashboards and reports to monitor our telematics systems’ performance and operational metrics.

Extract, analyse, and interpret complex engineering, software development, and operational data to support decision-making.

Collaborate with software developers and DevOps teams to develop and optimize data pipelines and automated reporting.

Ensure data security, integrity, accuracy, and accessibility for cross-functional teams.

Run with technical telematics projects from end to end

Work in a team environment

Communicate effectively and manage technical telematics supplier teams

Perform root cause analysis on malfunctioning systems

Skills

Drive to learn new skills and concepts

Ability to manage multiple projects simultaneously

Strong problem-solving skills and data-driven mindset

Strategic thinking with a keen ability to translate business needs into data insights and actionable plans

Education and Experience

Education:

Matric

BSc Engineering qualification

AWS Certification - Advantageous

MSc - Advantageous

Minimum Experience:

3+ years of experience in business intelligence and data analytics within an engineering or technology driven industry.

Strong technical project management skills with experience leading data-driven projects.

Understanding of software engineering principles and best coding practices.

Proficiency in QuickSight (AWS), Power BI, Tableau, SQL, Python (Pandas, Numpy), or similar data analytics tools.

Solid knowledge of relational and non-relational databases.

Hands-on experience with ETL processes, database management, and cloud-based analytics platforms.

Familiarity with cloud environments such as AWS, Azure, or Google Cloud, including CI/CD integration.

Experience with version control systems (Git) and automated deployment strategies.

Familiarity with Unix/Linux - Advantageous

AI and software disciplines - Advantageous