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Lead / Senior Data Engineer

Define data engineering strategy and platform roadmap for fintech scaling

Lead data engineering efforts to modernize and scale data platforms in a fintech company. Align data engineering work with business goals, analytics, and AI initiatives. Propose and contribute to new product ideas and emerging technologies as a product engineer within the Data and AI team.

Why This Role?

Work closely with the CTO and Head of Engineering in an innovative, proactive environment

Key Responsibilities

  • Define data engineering strategy and data platform roadmap focusing on modernization, scaling, governance, and cost efficiency
  • Align data engineering work with business goals and analytics/AI initiatives
  • Propose and contribute to new product ideas and emerging technologies as a product engineer
  • Bridge software engineering, data engineering, analytics, and AI to modernize data practices
  • Work within the Data and AI team reporting to the Head of Engineering

Requirements

  • Experience with AWS services including S3, Glue, Redshift, Lambda, Athena, and EC2
  • Proficiency in Python, SQL, Apache Airflow, Docker, Metabase, and Git
  • Experience modernizing legacy or monolithic data systems
  • Understanding of machine learning pipelines or model deployment
  • 4+ years of experience as a Senior Software or Data Engineer

Required Skills

data engineeringawspythonsqlapache airflowETL

Indonesia Context

Working Hours Overlap:
Flexible — work your own hours
See remote (USD) vs local pay →
View Original Description from Manatal Career Pages

Original description from Manatal Career Pages

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

Salary Context

Similar Engineering roles on LokerDollar pay around $205.1k/yr (range $19.575k–2846.004k/yr, n=488 active listings).

Hiring at Capcon Asia

Capcon Asia has 6 other active roles on LokerDollar and has been hiring here since Aug 10, 2026 — across Engineering, Marketing.

View all Capcon Asia openings →

Openness not stated by employer — check the listing

Source
Manatal Career Pages
Job Type
full time
Location
Singapore, Singapore · Remote
Category
Seniority
senior
PostedFreshNew & verified
Aug 10, 2026

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Frequently asked questions

Is Lead / Senior Data Engineer at Capcon Asia a remote job?
This role is based in Remote. See the listing for remote/onsite details.
What type of employment is Lead / Senior Data Engineer at Capcon Asia?
This is a full time position.
How do I apply?
Click the "Apply" button on this page to go to the official application at Capcon Asia.

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