Senior Data Engineer

At UVeye, we're 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 over $200M 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 Senior Data Engineer to join our Data team. In this role, you will lead and strengthen our Data Team, drive innovation, and ensure the robustness of our data/analytics platforms.

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

• Take charge of executing analytical projects, leading the development of data analysis, and decision support tools.
• Coordinate closely with the Business Intelligence and Sales teams for data integration and alignment, fostering cross-functional collaboration.
• Review code before delivery to maintain high-quality standards and ensure optimal performance of data pipelines.
  
  

• B.Sc. in computer science/information systems engineering
• 5+ years of experience in data engineering (Preferably from a startup company)
• Familiarity with data engineering tech stack, including ETL tools (Airflow, Spark, Flink, Kafka, Pubsub).
• Strong SQL expertise, working with various databases (relational and NoSQL) such as MySQL, FireStore, Redis, and ElasticSearch.
• Experience with cloud-based data warehouse solutions like BigQuery, Snowflake, and Oracle, and proficiency in working with public clouds (AWS/GCP).
• Coding experience with Python
• Experience with dashboard tools.
• Ability to communicate ideas and analyze results effectively, both verbally and in writing.