Senior Data Engineer

Autofleet is looking for a Senior Data Engineer to design, implement, and maintain robust data pipelines and own the backend data infrastructure that powers their platform.

Requirements

• Design, implement, and maintain robust, scalable data pipelines for batch and real-time processing
• Own the backend data infrastructure, including ingestion, transformation, validation, and orchestration of large-scale datasets
• Leverage Google Cloud Platform (GCP) services to architect and operate scalable, secure, and cost-effective data solutions
• Develop and optimize ETL/ELT workflows across multiple environments
• Build and maintain data marts and data models
• Collaborate with cross-functional teams
• Help drive architectural decisions around distributed data processing, pipeline reliability, and scalability

Benefits

• 4+ years in backend data engineering or infrastructure-focused software development
• Proficient in Python
• Solid understanding of SQL
• Proven track record designing and operating scalable, low-latency data pipelines (batch and streaming)
• Experience building and maintaining data platforms
• Familiar with orchestration tools like Airflow, and modern CI/CD practices
• Comfortable working in cloud-native environments (AWS, GCP), including containerization (e.g., Docker, Kubernetes)