Data Engineer — Real-Time Pipelines & Data Marts

Moneep; Indonesia; On-site; IDR 300,000,000 - 480,000,000; Full time

Job summary

Monee, a leading digital payments and financial services provider in Southeast Asia, is seeking a Data Engineer to design and optimize batch and real-time feature pipelines, build data marts, and ensure pipeline reliability. You will collaborate with data science, policy, risk, and business teams to meet data requirements and support feature engineering initiatives.

The role focuses on maintaining high data quality, implementing scalable ETL processes, and leveraging Spark/Flink, Kafka, Hive,

Qualifications

• 3+ years of experience in data engineering or big data development.
• Strong SQL and Python/Scala/Java skills.
• Hands-on experience with Spark/Flink for batch or stream processing.

Responsibilities

• Develop, optimize, and maintain batch and real-time feature pipelines using Spark/Flink.
• Design, build, and maintain Business Data Marts, including data modeling and ETL development.
• Ensure data quality, accuracy, and pipeline reliability, continuously improving data processing efficiency.
• Collaborate with DS, policy, risk and business teams to support feature engineering and data requirements.

Skills

SQL

Python

Scala/Java

Spark/Flink

Tools

Spark

Flink

Kafka

Hive

Airflow

Job description

Monee, a leading digital payments and financial services provider in Southeast Asia, is seeking a Data Engineer to design and optimize batch and real-time feature pipelines, build data marts, and ensure pipeline reliability. You will collaborate with data science, policy, risk, and business teams to meet data requirements and support feature engineering initiatives.

The role focuses on maintaining high data quality, implementing scalable ETL processes, and leveraging Spark/Flink, Kafka, Hive,