Senior Data Platform Engineer – Lakehouse & Analytics

MetaComp

Kuala Lumpur

On-site

MYR 479,000 - 607,000

Full time

4 days ago
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Job summary

MetaComp Pte Ltd, a Singapore-based digital payment solution provider, is seeking a hands-on Senior Data Engineer to design and scale a modern data lakehouse and analytics platform. You will own data architecture, pipelines, modelling, quality, and platform reliability to enable trusted data for reporting, analytics, risk, compliance, and AI use cases.

The role collaborates with Engineering, Product, Finance, Operations, Risk, and Compliance, building scalable batch and real-time pipelines,

Qualifications

  • Bachelor’s degree in Computer Science, Data Engineering, or a related discipline.
  • At least 5 years of relevant data-engineering experience.
  • Hands-on experience with production-grade data platforms.
  • Strong SQL and data modelling skills.
  • Experience with ETL/ELT, CDC, batch processing, and real-time streaming.

Responsibilities

  • Design and build a scalable, secure cloud data lakehouse and analytics platform.
  • Develop batch and real-time pipelines integrating databases, APIs, files, and event streams.
  • Build production-grade ETL/ELT and CDC workflows with testing, monitoring, retries, and alerting.
  • Design data models for reporting, reconciliation, operational analytics, and business intelligence.
  • Collaborate with Engineering, Product, Finance, Operations, Risk, and Compliance teams.
  • Maintain architecture documentation, engineering standards, and operational runbooks.

Skills

SQL
Python/Java/Scala
Data modelling
Cloud platforms

Education

Bachelor’s degree in Computer Science/Data Engineering

Tools

Apache Doris
StarRocks
ClickHouse
Snowflake
Databricks
Spark

Job description

MetaComp Pte Ltd, a Singapore-based digital payment solution provider, is seeking a hands-on Senior Data Engineer to design and scale a modern data lakehouse and analytics platform. You will own data architecture, pipelines, modelling, quality, and platform reliability to enable trusted data for reporting, analytics, risk, compliance, and AI use cases.

The role collaborates with Engineering, Product, Finance, Operations, Risk, and Compliance, building scalable batch and real-time pipelines,

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