Senior Data Platform Engineer

Damoov is a global API-first telematics and mobility platform powering innovative solutions in insurance, mobility, and logistics. They are seeking a Senior Data Platform Engineer to build and scale the data infrastructure that supports their platform, analytics, and mobility intelligence products.

Responsibilities:

• Design, build, and maintain scalable data infrastructure that supports Damoov’s platform and data products
• Develop reliable pipelines for ingesting, processing, transforming, and serving large-scale telematics and mobility datasets
• Build systems that support analytics, reporting, machine learning, and customer-facing intelligence products
• Improve platform performance, scalability, reliability, and operational efficiency
• Develop monitoring, observability, and data quality frameworks that ensure trusted data across the organization
• Optimize storage architectures, processing workflows, and data access patterns
• Collaborate with Data Science teams to support model development and production machine learning workflows
• Work closely with Product and Engineering teams to enable new platform capabilities and customer solutions
• Contribute to architectural decisions and long-term data platform strategy
• Help establish engineering best practices across data infrastructure, reliability, and operational excellence

Requirements:

• Experience in data engineering, platform engineering, backend engineering, or a related field
• Strong proficiency in SQL and at least one modern programming language such as Python, Java, Scala, or Go
• Experience building and maintaining large-scale data pipelines and distributed systems
• Strong understanding of cloud infrastructure and modern data architectures
• Experience working with structured, semi-structured, and event-based datasets
• Familiarity with data modeling, storage systems, and data lifecycle management
• Strong analytical and problem-solving capabilities
• Ability to collaborate effectively across engineering, data, and product teams
• Comfortable operating in a fast-moving, entrepreneurial environment
• Experience working with telematics, mobility, transportation, logistics, geospatial, IoT, or location intelligence data
• Experience with streaming architectures and real-time data processing
• Familiarity with machine learning infrastructure and MLOps workflows
• Experience with cloud-native data platforms and modern analytics ecosystems
• Understanding of large-scale event processing and behavioral analytics
• Experience working in a startup or scaling technology company