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Senior Data Platform Engineer (Knowledge Platform & AI Enablement)

SpringCube

Full time - Senior Engineer

Fintech

Singapore, All Areas

Published 2 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading global payments and financial technology platform is seeking a Senior Data Platform Engineer to support its next-generation data initiatives. The company enables over 200,000 businesses worldwide with fully integrated financial solutions, including business accounts, payments, spend management, treasury, and embedded finance. With offices in multiple countries and a team of over 2,000 professionals, the organization is dedicated to building a scalable, data-driven platform for global operations.

Role Overview
The Data Platform Engineering team implements data processing tasks on a next-generation data platform, optimizing data storage, processing, applications, and interfaces. The role involves iterative improvements, adoption of new data components, and exploration of architectures such as Lake House to reduce data latency and enhance operational efficiency.

Responsibilities

  • Participate in technical decision-making, custom development, integration, and performance optimization across foundational, service, and application layers
  • Develop and automate large-scale, high-performance distributed data processing systems (batch/streaming)
  • Establish scalable, high-quality data infrastructure and pipelines
  • Define shared engineering standards to improve productivity and output quality across the team
  • Provide guidance and mentorship to junior engineers
  • Lead medium to large-scale projects with team-wide impact

Qualifications

  • 5+ years of relevant experience as a data engineer
  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience)
  • Strong programming skills in Kotlin, Java, Scala, Python, and SQL
  • Experience with Kafka, Data Lake, Spark, Flink, DBT, Spring Boot, Hadoop, BigQuery, and Snowflake preferred
  • Proven ability to design, build, and operate distributed systems and define overarching data architecture
  • Expertise in real-time and batch data processing systems
  • Experience handling data at petabyte (PB) scale
  • Strong analytical, problem-solving, and collaborative skills

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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