we support the worlds largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models – driving efficient operations and maximizing utilization.
seeking a talented and experienced Senior Data Engineer to join our dynamic team. As a Senior Data Engineer , you will play a crucial role in optimizing and expanding our data services, driving advanced machine learning models and optimization algorithms. You will have the opportunity to work on diverse challenges such as data pipelines, optimization, prediction, modeling, transportation, and mapping.
We are looking for someone who is passionate about data engineering, with a strong background in backend development and experience in architecting and implementing data pipelines. You will collaborate with business teams and customers to understand their unique needs and requirements, and translate them into efficient and scalable data solutions. If you are a fast learner, independent, and enjoy tackling complex problems, we would love to hear from you!
Key Responsibilities:
Design and maintain production-level machine learning and data pipelines
Take full data ownership of existing and new features, including data extraction, manipulation, validation, and testing
Create, support, and maintain data marts with a focus on data integrity, performance, and long-term maintainability
Collaborate with business teams and customers to understand unique needs and requirement
4+ years of backend experience in a data engineering/development role
Strong knowledge of Python
Proven experience working with SQL and NoSQL databases, data warehouses, and data lakes
Experience in architecting and implementing data pipelines
Experience with spark
Practical experience in MLOps – big advantage
BSc/BA in computer science or engineering
Fast learner, independent, and able to multitask on several projects
Ability to identify and improve inefficient processes