Senior Data Engineering, Vehicle Data Operations

job description vacancy status: this posting is for an existing vacancy within the organization and is open to new applications.

ai disclosure: as part of the application process, artificial intelligence will be used in the hiring process for this role.

work arrangement: this role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum.

the senior data engineering candidate will build, operate, and improve software and data solutions that make vehicle data operations more reliable, observable, and scalable. This position involves continuously monitoring data product quality alongside vehicle software performance and its behaviour. This role partners with vehicle data engineering, software application teams, program management, systems engineering, and quality engineering to turn operational needs into reliable pipelines, monitoring, dashboards, alerts, and support processes.

The successful engineering candidate is a hands-on technical professional who can work across the full solution lifecycle: understand the problem, define requirements, map data and system relationships, build and test the solution, deploy it, monitor it in production, document it, and improve its reliability, performance, scalability, and cost.

• define technical requirements, metrics, acceptance criteria, monitoring needs, and operational response paths.
• design, execute, and refine scalable data pipelines, automated workflows, monitoring dashboards, system alerts, analytics queries, testing frameworks, and governance standards.
• monitor vehicle data campaigns, package propagation, and eligible vehicle populations across operational systems.
• lead and support data investigations to ensure accurate data capture and high data quality/integrity.
• create logging, metrics, dashboards, and alerts that enhance operational observability and overall fleet software behaviour.
• use data from multiple systems to understand vehicle lifecycle states, campaign status, package delivery, and operational outcomes.
• define requirements and acceptance criteria for external and dependent teams; document data flows, data lineage, operating procedures, and support guidance.
• communicate technical findings, risks, limitations, and recommendations to both technical and non-technical audiences.
• contribute reusable patterns, engineering best practices, design guidance, and mentoring within the team and broader organization.
• work effectively in a fast-paced, collaborative environment and contribute positively to team culture.

deliver committed data engineering and observability capabilities with clear acceptance criteria, validation evidence, and production-support plans. Improve visibility into vehicle data campaigns, package propagation, vehicle populations, and operational system health. Support data related production investigations and resolutions. Improve the reliability, performance, scalability, usability, and cost of existing data operations and observability solutions. Reduce manual effort, speed up issue investigation, improve launch readiness, and support earlier risk mitigation.

Strengthen engineering governance through documented definitions, data quality checks, lineage, testing, and repeatable operating practices.

• 5+ years of experience building, deploying, or supporting software, data engineering, platform, or observability solutions.
• bachelor’s degree in engineering, computer science, data science, or a related field; equivalent practical experience may be considered.
• hands‑on experience with building and optimizing end-to-end data pipelines in databricks,…