Senior Software Engineer - Data Platform

Motional; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

Motional in Singapore is seeking a Data Platform Engineer to help design and build scalable data infrastructure that powers ML and autonomy engineering. You will contribute to data discovery, data lineage, and high-performance data processes handling massive data volumes.

You should have 3+ years in data engineering, strong Python/SQL skills, and solid AWS experience (EKS, Lambda, ETL) to thrive in a fast-paced, CD environment.

Qualifications

• 3+ years of professional experience as a data engineer or data pipeline engineer.
• BS or MS in Computer Science or related field.
• Strong development experience with Python and SQL.
• Expertise with AWS services and solutions (EKS, Lambda, ETL).
• Experience with distributed system design and development.
• Comfortable working in a fast-paced, continuous delivery environment.

Responsibilities

• Play a key role in designing and building the next generation of data infrastructure.
• Build scalable backend services for data discovery and data lineage systems.
• Write high quality, maintainable code to process petabytes of data
• Lead and champion high-level system design and quality code reviews/technical contributions.
• Design, build, and maintain scalable data processing and access with cloud ETL technology.

Skills

Python

SQL

AWS

Data pipelines

Distributed systems

Cloud ETL

Code reviews

Education

BS/MS in Computer Science or related

Tools

EKS

Lambda

Job description

Mission Summary

The Data Platform team is the vital link between our company's expansive data and the engineering teams that rely on it. We architect and operate the core services and infrastructure necessary to transform petabytes of raw data each month into actionable insights for our Machine Learning and Autonomy engineers. This role is a key contributor across our core initiatives:

• Data Processing: We are building state-of-the-art infrastructure to meet the demands of our rapidly scaling fleet and sophisticated ML engineering requirements. You will be responsible for ensuring that our core data pipelines are robustly engineered- meaning they are performant, user-friendly, and highly fault-tolerant.
• Data Discovery: we are building a platform that combines cataloging data for search needs across our metadata stores, vector datastores, and various data warehouses to super charge our ML pipelines. You would be coming in and working with ML and autonomy stakeholders to build out this new discovery platform.
• Data Lineage: we are getting started with building our data lineage system that will track the usage of all data at Motional. You would work with our stakeholders to ensure our system is widely adopted and address customer pain points.

What You'll Be Doing

• Play a key role in designing and building the next generation of data infrastructure.
• Build scalable backend services for data discovery and data lineage systems.
• Write high quality, maintainable code to process petabytes of data
• Lead and champion high-level system design and quality code reviews/technical contributions.
• Design, build, and maintain scalable data processing and access with cloud ETL technology.

What We're Looking For

• 3+ years of professional experience as a data engineer or data pipeline engineer
• BS or MS in Computer Science or related field
• Strong development experience with Python and SQL.
• Expertise with AWS services and solutions (EKS, Lambda, ETL)
• Experience with distributed system design and development
• Comfortable working in a fast-paced, continuous delivery environment

Bonus Points (not required):

• Experience with Infrastructure Monitoring
• Experience working in cross-functional development teams
• Prior experience with agentic workflows is a plus.
• Prior experience in autonomous vehicles (AV) is a plus