Data Engineering Team Leader

At UVeye, we are on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector.

With close to $400 million in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.

We are looking for an experienced Data Engineering Team Leader.

In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data and analytics platforms.

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

• Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
• Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
• Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
• Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
• Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.
  
  

• 5+ years of Data Engineering experience (preferably in a startup), with a focus on designing and implementing scalable, analytics-ready data models and cloud data warehouses (e.g., BigQuery, Snowflake).
• Minimum 3 years in a leadership role, with a proven history of guiding teams to success.
• Expertise in modern data orchestration and transformation frameworks (e.g., Airflow, DBT).
• Deep knowledge of databases (schema design, query optimization) and familiarity with NoSQL use cases.
• Solid understanding of cloud data services (e.g., AWS, GCP) and streaming platforms (e.g., Kafka, Pub/Sub).
• Fluent in Python and SQL, with a backend development focus (services, APIs, CI/CD).
• Excellent communication skills, capable of simplifying complex technical concepts.
• Experience with, or strong interest in, leveraging AI and automation for efficiency gains.
• Passionate about technology, proactively identifying and implementing tools to enhance development velocity and maintain high standards.
• Adaptable and resilient in dynamic, fast-paced environments, consistently delivering results with a strong can-do attitude.
• B.Sc. in Computer Science / Engineering or equivalent.