Data Engineer (Digital Finance)

Monroe Consulting Group; Daerah Khusus Ibukota Jakarta; On-site; IDR 500.333.000 - 833.890.000; Full time

Job summary

A fast-growing digital finance platform in Jakarta is seeking a skilled Data Engineer to enhance the development of scalable data infrastructure. This role involves collaborating with various teams to ensure efficient data operations and drive data-driven decision-making across product lines. The ideal candidate should have hands-on experience in backend development, strong coding skills in Python or Java, and familiarity with cloud technologies.

Qualifications

• 1-2 years of hands-on experience in data engineering or backend development.
• Strong coding skills in Python, Java, or Scala.
• Familiarity with source control tools (e.g., Git) and build management tools.

Responsibilities

• Develop and maintain scalable data infrastructure, databases, and pipelines.
• Build and manage data ingestion and transformation workflows.
• Ensure stability, availability, and performance of data systems.

Skills

Data systems expertise

Python programming

Java programming

Scala programming

Git proficiency

Maven familiarity

Docker knowledge

Kubernetes use

Spark experience

Kafka familiarity

Flink knowledge

Airflow familiarity

MySQL knowledge

MongoDB knowledge

Cloud platforms experience

Job description

Overview

On behalf of a fast-growing digital finance platform, we are currently seeking a skilled and motivated Data Engineer to support the development of scalable data infrastructure and analytical capabilities. Based in Jakarta, this role will be instrumental in enabling data-driven decision-making across multiple product lines and markets in Southeast Asia.

Responsibilities

• Develop and maintain scalable data infrastructure, databases, and pipelines to support reliable and efficient data operations.
• Build and manage data ingestion and transformation workflows to enable seamless data integration across multiple platforms.
• Apply best practices to ensure the stability, availability, and performance of data systems.
• Partner with engineering, data science, and product teams to enhance data accessibility and usability across the organization.
• Design and sustain large-scale, efficient data pipelines to process complex datasets.
• Translate user needs into well-crafted tools and platform capabilities that address real-world data challenges.

Qualifications

• 1-2 years of hands-on experience in data engineering or backend development with a strong focus on data systems.
• Solid coding skills in Python, Java, or Scala.
• Familiar with source control tools (e.g., Git) and build/dependency management tools like Maven.
• Knowledge of container tools (Docker) and orchestration frameworks (Kubernetes).
• Practical experience with real-time and batch data technologies, such as Spark, Kafka, Flink, Flume, or Airflow.
• Comfortable working with both relational (e.g., MySQL) and NoSQL databases (e.g., MongoDB).
• Prior involvement with cloud-based data platforms and large-scale data solutions.
• Strong analytical mindset, with the ability to juggle multiple tasks and projects.
• A proactive communicator and team player who thrives in a collaborative environment.
• Motivated to stay current with emerging technologies and continuously enhance technical capabilities.
• Familiarity with automation and DevOps practices is a plus.