Telematics Data Engineer
Telematics Data Engineer
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1 Vacancy
Job Description
We are seeking a highly skilled and motivated Telematics Data Engineer to join our team. This role requires expertise in telematics IoT and commercial auto lines coupled with strong analytical and coding abilities. The successful candidate will be responsible for designing developing and maintaining scalable data pipelines analyzing telematics datasets and providing thought leadership in leveraging telematics data for business outcomes. You will collaborate with crossfunctional teams and work with data from aggregators and IoT sources to deliver actionable insights.
Key Responsibilities
- Data Engineering & Development
- Build and maintain robust data pipelines for ingesting processing and storing telematics data from IoT devices and thirdparty aggregators.
- Develop efficient ETL processes to ensure highquality data integration into analytics platforms.
- Write clean reusable and optimized code to handle largescale datasets.
- Data Analysis & Insights
- Analyze telematics datasets to uncover patterns trends and actionable insights related to commercial auto lines fleet performance and driver behavior.
- Collaborate with data scientists to develop predictive models and risk assessment tools.
- Present insights to stakeholders through visualizations and reports using tools like Tableau or Power BI.
- Thought Leadership
- Provide expertise on best practices in telematics data utilization for the commercial auto line industry.
- Stay ahead of emerging trends in IoT and telematics to recommend innovative solutions.
- Act as a subject matter expert in discussions on telematics data integration and application.
- IoT Integration & Data Aggregation
- Work with IoT devices and communication protocols to ingest realtime telematics data (e.g. GPS accelerometers fuel sensors).
- Integrate data from multiple sources including thirdparty aggregators into centralized platforms for seamless analysis.
- Evaluate data aggregator offerings to ensure accuracy reliability and alignment with business needs.
- Collaboration & Stakeholder Engagement
- Partner with underwriting claims and fleet management teams to address business challenges using telematics data.
- Collaborate with architects and analysts to align engineering solutions with organizational objectives.
- Support adhoc data requests and provide technical expertise to enhance decisionmaking.
Qualifications & Skills
Education
- Bachelors or Masters degree in Computer Science Data Science Engineering or a related field.
Experience
- 5 years of experience in data engineering with at least 2 years focused on telematics or IoT.
- Proven track record in the commercial auto line or fleet management domain is highly desirable.
Technical Skills
- Strong programming skills in Python SQL and Scala (or equivalent languages).
- Experience with data pipeline tools such as Apache Kafka Apache Spark or Airflow.
- Proficiency with cloud platforms (AWS Azure or GCP) including IoTrelated services (e.g. AWS IoT Core Azure IoT Hub).
- Knowledge of databases including relational (e.g. PostgreSQL) and timeseries databases (e.g. TimescaleDB).
- Familiarity with IoT protocols like MQTT CAN bus or CoAP.
Analytical & Business Skills
- Strong problemsolving and analytical skills for interpreting large datasets.
- Experience with visualization tools like Tableau or Power BI
- Understanding of data governance security and compliance standards in telematics.
Soft Skills
- Excellent communication and presentation skills for technical and nontechnical stakeholders.
- Demonstrated ability to provide thought leadership and guide strategic decisions.
- Proactive selfdriven and eager to learn new technologies and methodologies.
Preferred Qualifications
- Experience in machine learning or predictive modeling for telematics data.
- Understanding of insurance risk assessment and fleet management operations.
- Certification in cloud platforms (e.g. AWS Certified Data Analytics Azure Data Engineer).
Employment Type
Full Time
