Transform Urban Logistics with Robust Data Engineering At the forefront of robotic delivery solutions, we're transforming urban logistics with autonomous technology. Our mission is to make last-mile delivery efficient, sustainable, and accessible through data-driven innovation. The Opportunity: - Data Pipeline Development & Management - Design, develop, and maintain scalable, reliable, and efficient ETL/ELT pipelines for batch and real-time data processing (e.g., MQTT/Kafka data ingestion). - Manage and optimize our data warehousing solutions, primarily Google BigQuery, ensuring efficient data storage, querying, and cost-effectiveness. - Implement and maintain data quality assertions across all data pipelines to ensure data integrity from source to consumption. - Data Support - Collaborate closely with teams to understand their data needs and develop tailored data solutions. - Design and implement data workflows to support machine learning workflows. - Technical Skills & Qualifications - Required: - Strong proficiency in Python for data engineering and scripting. - Extensive experience with SQL and relational databases. - Proven expertise with Google Cloud Platform services, especially BigQuery, Cloud Storage, Cloud Functions. - Experience designing, building, and maintaining robust ETL/ELT data pipelines. Key Responsibilities Include: 1. Developing and implementing scalable data pipelines to drive business growth. 2. Designing and optimizing data warehouses to ensure efficient data storage and querying. 3. Maintaining high-quality data across all pipelines to inform business decisions. 4. Collaborating with cross-functional teams to deliver data-driven solutions. 5. Staying up-to-date with industry trends and best practices in data engineering. Why This Role Matters This role plays a critical part in shaping our data strategy and driving business success. As a key member of our team, you'll have the opportunity to work on cutting-edge projects and contribute to our mission to transform urban logistics.