Job Description

Why are they awesome?

• 10+ years in the fintech industry
• Regulated and trusted by financial institutions globally
• Pioneers in mobile point-of-sale (mPOS) solutions focusing on low-cost acceptance payment
• Secured US$30M Series B funding
• Rapid growth: scaled from 150+ to 300+ employees in just 2 years

Your Mission

Your role is to bridge software engineering, data engineering, analytics and AI to modernise and scale data engineering practices.

Team & Culture

• You will be part of the Data and AI team and you will be reporting to the Head of Engineering and working closely with the CTO
• Innovative, proactive, problem-solving environment - you are a product engineer, not just task executors.
• An established company that embraces a startup-like culture.

What Youll Do

• Define data engineering strategy and data platform roadmap (modernisation, scaling, governance, cost efficiency, etc.)
• Alignment of data engineering work with business goals and analytics/AI initiatives
• A product engineer that proposes and contributes to new product ideas and emerging technologies.

Tech Stack

AWS (S3, Glue, Redshift, Lambda, Athena, EC2), Python, SQL, Apache Airflow, Docker, Metabase, Git

Nice to Have

• Experience modernising legacy or monolithic data systems
• Understanding of machine learning pipelines or model deployment

Level

• Senior Software/Data Engineer (4+ years)

Location:

• KL Sentral, Kuala Lumpur