全职 Software Engineer (Data Product - Platform) 工作, 薪水, Daulfin Grey 公司招聘中 - Ricebowl

We are hiring a Software Engineer (Data Product & Platform) to support a leading financial services organisation undergoing a major data platform transformation.

This is a highly hands-on engineering role, with approximately 80% focused on software development, working on enterprise-scale applications, APIs, data services, and cloud-based data platforms. You will contribute to the design, development, and enhancement of critical systems supporting market infrastructure and enterprise data capabilities.

Responsibilities

• Design, develop and support scalable software applications, APIs and data services
• Build and maintain data transformation and ETL solutions
• Develop cloud-native applications and platform capabilities
• Implement CI/CD pipelines and Infrastructure as Code (IaC)
• Collaborate with architecture, product, and data teams to deliver high-quality solutions
• Leverage AI-assisted development practices to improve engineering productivity and quality
• Contribute to software design, testing, automation, and production support

Requirements

• Strong SQL skills
• Proven software development experience with Python or Java & Spring Boot
• Experience building production-grade applications and APIs
• Hands-on experience with cloud platforms (GCP preferred)
• Experience with CI/CD pipelines and Infrastructure as Code (IaC)
• Exposure to data transformation, ETL, or data engineering practices
• Familiarity with modern software engineering best practices and agile delivery
• Experience using AI tools beyond basic code completion to enhance software development workflows

Preferred

• Experience with Google Cloud Platform (GCP)
• Exposure to financial services, capital markets, trading, market data, or exchange environments
• Experience with data platforms, data products, or enterprise data ecosystems

If you are a software engineer who enjoys coding, building scalable solutions, and working at the intersection of software engineering and data, we would like to hear from you.