Who We Are
Solera is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience. In addition, we provide products and services to protect life’s other most important assets: our homes and digital identities. Today, Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our 6,500 team members foster an uncommon, innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers, insights, algorithms and automation. For more information, please visit solera.com.
The Role
The Lead Data Engineer is responsible for designing, building, and optimizing data pipelines and platforms that enable scalable, reliable, and high-performance data processing. This role involves developing end-to-end data solutions using cutting‑edge technologies while ensuring efficient ETL/ELT workflows to support analytics, reporting, and data‑driven decision‑making. The engineer will analyze complex data requirements, model data structures, and implement data integration solutions across diverse systems. Strong expertise in streaming, performance tuning, and big data frameworks is essential, along with the ability to document, automate, and operationalize data pipelines for production use. The position also requires close collaboration with cross‑functional teams—including data analysts, data scientists, and application developers—to ensure data quality, consistency, and availability. The Lead Data Engineer is expected to apply best practices in data engineering, cloud optimization, and governance, contributing to the continuous improvement and modernisation of the data ecosystem.
ESSENTIAL RESPONSIBILITIES AND DUTIES
- Translate business requirements into conceptual solution architecture and high‑level project estimates.
- Develop, modify, and implement SaaS‑hosted applications according to business requirements using Data Warehousing, IE, SQL, No‑SQL, Data Governance/Patterns, and AI.
- Logical data modelling, database definition and manipulation, and data synchronization.
- Object‑oriented design, coding, performance tuning, and unit testing.
- Research, extraction and analysis of complex data.
- Author and review technical requirements to ensure compliance with business requirements.
- Perform proper unit testing and software code writing, including automated unit testing.
- Follow applicable standards and techniques used during the Software Development Life Cycle (SDLC, security). Apply them appropriately.
- Participate in the testing process through test review and analysis, test witnessing and certification of software.
- Participate in peer code reviews and mentor others to develop their skill levels.
- May work on multiple tasks/projects simultaneously with various team members and/or other groups both internally and externally.
- Engage effectively in self‑directed time management and prioritisation of workload.
- Perform other duties as may be assigned by management.
- Be available to work during Omnitracs corporate business hours.
QUALIFICATIONS
- Bachelor’s degree in Computer Science, Computer Engineering, or Equivalent.
- 8+ years of applicable software development experience.
KNOWLEDGE, SKILLS & ABILITIES
- Experience in data warehousing, SQL, No‑SQL, data governance/patterns and AI.
- Experience with database management systems.
- Excellent interpersonal, written, and oral English skills.
- Strong knowledge of logical data modelling and database management systems.
- Proficient with Python development environments and processes.
- Versed in industry‑standard SDLC processes and Agile methodologies such as SCRUM.
- Knowledge of Agile practices.
- Knowledge of software design patterns.
- Knowledge of open‑source technologies.
- Transportation industry knowledge desired but not required.
- Experience mentoring less experienced developers.
- Experience leading data teams.
- Approaches software development using industry‑standard concepts, practices, and procedures.
- Ability to work on multiple tasks simultaneously with various team members and/or other groups both internally and externally.
- Ability to effectively engage in self‑directed time management and prioritisation of workload.
- Ability to work independently to develop new skills as needed to support new products and applications.
- Ability to coordinate and oversee parallel efforts for multiple developers.