Engineering Lead, Real-Time Data & AI Platform

AIRWALLEX (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

A leading financial technology firm in Singapore is seeking an experienced leader to oversee large-scale, cross-functional initiatives in their data ecosystem. As a key player, you will be responsible for defining the strategic roadmap for their Real-time Data Platform, modernizing their core data capabilities, and mentoring engineering teams. Ideal candidates will have over 8 years in data/software engineering with a strong focus on leadership, distributed data processing technologies, and experience in building and scaling teams. Join a dynamic team dedicated to leveraging data and AI for impactful business solutions.

Benefits

Accelerated learning opportunities

Collaborative environment

Impact-driven projects

Qualifications

• 8+ years of experience in data or software engineering, 3+ in leadership.
• Experience managing and scaling teams of 10+.
• Strong command of architecture and strategy in data engineering.
• Deep knowledge of data processing technologies like Spark and Kafka.

Responsibilities

• Provide technical leadership and define strategic roadmap for Realtime Data Platform.
• Lead modernization of core data platform for real-time processing.
• Partner with product teams to enable data-driven features.
• Scale and structure engineering teams, mentoring managers.
• Cultivate relationships with product and engineering teams.

Skills

Leadership

Data engineering

Software engineering

Distributed data processing

Real-time analytical processing

Tools

Apache Spark

Databricks

Kafka

ElasticSearch

CubeJS

Job description

A leading financial technology firm in Singapore is seeking an experienced leader to oversee large-scale, cross-functional initiatives in their data ecosystem. As a key player, you will be responsible for defining the strategic roadmap for their Real-time Data Platform, modernizing their core data capabilities, and mentoring engineering teams. Ideal candidates will have over 8 years in data/software engineering with a strong focus on leadership, distributed data processing technologies, and experience in building and scaling teams. Join a dynamic team dedicated to leveraging data and AI for impactful business solutions.