Data Engineer / Senior Data Engineer

Patsnap; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Patsnap is seeking a Data Engineer or Senior Data Engineer to build and evolve our data foundation behind global innovation intelligence and AI-powered products. You’ll handle patent datasets, design robust systems, and ensure data is accurate, reliable, and accessible for products and customers.

This hands-on role covers the full data lifecycle—from ingestion to storage, quality, performance, and availability.

Qualifications

• Bachelor’s degree or higher in computer science, data engineering, software engineering or related field.
• Proficiency in Java or Python with solid programming foundation.
• Familiarity with big data processing components such as Flink and Spark; performance optimization preferred.
• Familiarity with Linux systems and common operations.
• Strong sense of responsibility and proactive learning ability in a fast-paced environment.

Responsibilities

• Manage daily patent data operations including ingestion, parsing, storage, and backup with focus on security, stability and availability.
• Analyze data requirements, design data processing solutions, document, and implement code.
• Monitor data quality and optimize data integrity and accuracy.

Skills

Java or Python programming

Linux systems

Team collaboration

Education

Bachelor’s degree or higher in CS / data eng / software engineering

Tools

Flink

Spark

Big data processing basics

Job description

Data Engineer / Senior Data Engineer

Job Description

Patsnap is looking for a Data Engineer or Senior Data Engineer to help build and evolve the data foundation behind our global innovation intelligence and AI-powered products. You’ll work with large-scale patent and related datasets, designing robust systems that transform complex raw information into accurate, reliable, and accessible data that our products and customers can depend on.

This is a hands-on engineering role with ownership across the full data lifecycle—from ingestion and parsing through to storage, quality, performance, and availability. You’ll solve challenging data problems at scale, continuously improve the efficiency and accuracy of our processing frameworks, and work closely with data architects to evolve our platform for greater scalability and resilience. Your work will directly enable Patsnap to deliver trusted, high-quality data and rapidly bring new data capabilities to customers around the world.

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This is an in-office position based in our Singapore office.

Who are we?

Patsnap is a global, pre-IPO company that transforms the way organizations harness their Intellectual Property and Research & Development productivity. Our platform revolutionizes how IP and R&D teams collaborate across the entire innovation lifecycle, using domain-specific AI to accelerate the creation of market-ready products. With over 12,000 customers worldwide, including some of the biggest names in innovation, Patsnap is at the forefront of technological advancement. Our $300M Series E funding round brings our valuation to a $1 billion unicorn status, and we still have a remarkable amount of growth ahead.

We have a vibrant and diverse team with offices in Singapore, Toronto, London, Shanghai and remote teams based in US. Our hyper-growth trajectory is powered by our people, and we are extremely proud of our company-wide vision, work ethic, and entrepreneurial spirit. We are committed to fostering an inclusive environment where talent thrives and ideas bloom.

What You'll Be Doing

• Manage daily operations of patent data and related data, including integration, parsing, storage, and backup, ensuring data security, stability, and availability；
• Analyze and understand new data requirements, design data processing solutions, write relevant documentation, and implement code；
• Monitor data quality, design and implement targeted optimization solutions, and continuously improve data integrity and accuracy；
• Optimize data processing frameworks and performance, enhancing the efficiency of system data handling to support rapid iteration of product data；
• Work closely with data architects, participate in architecture upgrades and updates, and enhance system scalability and stability.

Job Requirements

• Bachelor’s degree or above in computer science, data engineering, software engineering, or related fields; at least 3 years of experience in data development；
• Proficiency in Java or Python with a solid programming foundation；
• Familiarity with basic components of big data processing, such as Flink and Spark, with experience in performance optimization preferred；
• Familiarity with Linux systems and common operations；
• Strong sense of responsibility and proactive learning ability, able to adapt flexibly in a fast-paced environment；
• Clear thinking with great communication skills and team spirit, able to collaborate effective with team members from diverse cultural backgrounds；
• Basic understanding of data privacy and compliance, capable of working in a regulatory environment.