Senior Data Engineer

About the role

Autofleet supports the world's largest vehicle fleet operators and transportation providers by optimizing their operations and launching new business models through its platform. The data infrastructure behind the platform drives machine learning models and optimization algorithms. As a Senior Data Engineer, you will own and scale the backend data infrastructure supporting real-time optimization, advanced analytics and machine learning applications.

Key responsibilities

• Design, implement and maintain robust, scalable data pipelines for batch and real-time processing using Spark and other modern tools.
• Own the backend data infrastructure, including ingestion, transformation, validation and orchestration of large-scale datasets.
• Leverage Google Cloud Platform (GCP) services to build scalable, secure and cost-effective data solutions.
• Develop and optimize ETL/ELT workflows across multiple environments for internal applications, analytics and machine learning.
• Build and maintain data marts and data models focused on performance, data quality and maintainability.
• Collaborate with development teams, product managers and external stakeholders to turn data requirements into scalable solutions.
• Help drive architectural decisions on distributed data processing, pipeline reliability and scalability.

Required profile

• 4+ years in backend data engineering or infrastructure-focused software development.
• Degree in Computer Science, Engineering or a related field.
• Proven track record designing and operating scalable, low-latency batch and streaming data pipelines.
• Experience building and maintaining data platforms, including lakes, pipelines and developer tooling.

Required skills

• Proficiency in Python and solid understanding of SQL.
• Familiarity with orchestration tools such as Airflow and modern CI/CD practices.
• Cloud-native environments (AWS, GCP) and containerization (Docker, Kubernetes).
• Bonus: GCP experience, data quality monitoring and alerting, Snowflake, DBT, Flink, Kafka, and strong hands-on Spark experience.