Data Engineering Team Lead

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI.

With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone.

As our Data Engineering Team Lead, you'll own the strategy, infrastructure, and people behind every data-driven decision our business makes, and shape how a growing data function scales.

A day in the life and how you’ll make an impact:

• Set the technical roadmap for data engineering, aligning it directly with business priorities

• Champion the complete data lifecycle - from ingestion and infrastructure through analysis and automated reporting - to maximize the strategic value of data across the company

• Design, build, and evolve scalable, high-performance data pipelines that keep pace with a growing, diversifying business

• Lead continuous optimization of the data analytics platform and infrastructure - balancing performance, scalability, and cost

• Build and enforce a strong data governance framework - data quality, monitoring, and security - and take full accountability for data integrity across the org

What you bring:

• 5+ years in Data Engineering (startup experience a plus), with proven work designing scalable, analytics-ready data models and cloud data warehouses (BigQuery, Snowflake, or similar)

• 3+ years in a leadership role, with a track record of building and guiding high-performing teams

• Hands-on expertise with modern orchestration and transformation frameworks (Airflow, DBT)

• Strong database fundamentals — schema design, query optimization — plus familiarity with NoSQL use cases

• Solid grasp of cloud data services (AWS or GCP) and streaming platforms (Kafka, Pub/Sub)

• Fluent in Python and SQL, with backend experience (services, APIs, CI/CD)

• Strong communicator, able to translate complex technical concepts for non-technical stakeholders

• Genuine interest in applying AI and automation to improve engineering efficiency

• B.Sc. in Computer Science, Engineering, or equivalent

Why UVeye:

Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections.

Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale.

Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships