Data Engineer Manager

Ninja Van is a tech-enabled logistics company on a mission to provide hassle-free delivery services for businesses of all sizes across Southeast Asia. Launched in 2014, we started operations in Singapore and have become the region's largest and fastest growing last-mile logistics company, partnering with over 35,000 merchants and delivering more than 1,000 parcels every minute across six countries. 
At our core, we are a technology company that is disrupting a massive industry with cutting-edge software and operational concepts. Powered by algorithm-based optimisation, dynamic routing, end-to-end tracking and a data-driven approach, we provide best-of-class delivery services that delight both the shippers and end customers. But we are just getting started! We have much room for improvement and many ideas that will further shape the industry.

Job Description

• Lead and manage a team of Data Engineers.
• Drive automation, data infrastructure, and machine learning initiatives.
• Design and maintain scalable data pipelines, data marts, and models.
• Optimize and monitor platforms (Metabase, Redash).
• Manage data access, query performance, and BI tool usage.
• Collaborate with regional teams to roll out new workflows.
• Provide actionable insights to support business decisions.
• Ensure data quality, conduct code/query reviews, and enforce best practices.

Requirements

• Hold a minimum Bachelor’s degree with backgrounds in IT, AI, Engineering, or related fields.
• 3+ years hands-on experience with SQL and Python.
• Experienced in leading and managing team or people development
• Proven experience in data engineering, automation, and/or machine learning projects.
• Strong understanding of ETL, data mart, data modeling, data warehouse, CI/CD.
• Exposure to SDLC or experience collaborating with software development teams is a plus.
• Experience with MySQL, PostgreSQL, and NoSQL (e.g., MongoDB).
• Comfortable with Agile and DevOps practices.
• Strong communication and stakeholder management skills.

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