Lead Data Engineer

Founded in Tel Aviv in 2016, UVeye is a computer vision and data company that creates automatic vehicle inspection systems to encourage road safety and increase transparency across the automotive industry. With key partnerships including General Motors, Volvo, and CarMax among others, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, security checkpoints, and more.

Want to be an important part of setting the standard for safety in the auto industry? Check out the description below to see if you’re a great fit!

UVeye is looking for an experienced Lead Data Engineer to join our Data team

As our Lead Data Engineer, you will be in charge of leading and strengthening our Data Team, driving innovation, and ensuring the robustness of our data/analytics platforms.

Here’s what you’ll be doing:

• 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.
• Lead and supervise the data engineering team, fostering a collaborative and high-performance culture.
• 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, including team leadership.
• 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).
• 3+ years of coding experience with Python
• Experience with dashboard tools like Looker, enhancing data visualization capabilities.
• Ability to communicate ideas and analyze results effectively, both verbally and in writing.