Data Engineer (Data Warehouse) - Monee Credit

Moneep; Indonesia; On-site; IDR 300,000,000 - 540,000,000; Full time

Job summary

Moneep is hiring a Data Warehouse & Automation Engineer to design, build, and maintain data warehouse structures and automated data pipelines. You will ensure data quality and reliable operations across regulatory reporting and business analytics.

The role emphasizes strong SQL, Python, and Spark skills in a fast-paced environment. Collaborate with BI and Compliance teams to translate requirements into scalable data solutions, while applying software engineering practices to analytics codebases

Qualifications

• Bachelor's degree in Computer Science, Data Analytics or related field with +2 years of professional experience in a Data Warehouse Engineering or related role.
• Advanced SQL skills with focus on performance tuning and best practices.
• Proficiency in designing robust data warehouse architectures for high-volume analytics and reporting.
• Working knowledge of Python for scripting and automation.
• Proficiency in Apache Spark (PySpark/Spark SQL) for large-scale data engineering.
• Experience with analytics engineering concepts/tools such as dbt or Dataform.
• Strong English communication to explain insights to non-technical stakeholders.

Responsibilities

• Own the design, build, and maintenance of Data Warehouse & Data Mart tables.
• Build automated data pipelines and Reverse ETL workflows to feed operational tools and regulatory portals.
• Collaborate with BI, Regulatory Compliance, and Project teams to translate requirements into data solutions.
• Implement data validation, error handling, and automated data quality checks.
• Apply software engineering best practices to analytics code, optimize queries and storage for growing data volumes.
• Build and maintain secure, automated data pipelines to format and push compliance data to regulatory portals.

Skills

SQL

Python

Apache Spark

Education

Bachelor's degree in Computer Science or related field

Tools

dbt

Dataform

Job description

Job Description

• As a Data Warehouse & Automation Engineer, you will sit at the intersection of data warehouse engineering, automated workflows, and regulatory compliance.
• You will own the design, build, and maintenance of robust Data Warehouse & Data Mart tables, while building automated data pipelines and Reverse ETL workflows to stream critical data back into operational tools and regulatory reporting bodies.
• Collaborate with BI, Regulatory Compliance, and Project teams to translate business and compliance requirements into Data Mart & Business Automation solutions.
• Implement data validation, error handling, and automated data quality checks to ensure accuracy, consistency, and reliability across all warehouse layers.
• Apply software engineering best practices to analytics codebases, optimize database queries, partitioning, and storage to handle growing data volumes efficiently.
• Build and maintain secure, automated data pipelines to format, validate, and push compliance data directly to regulatory portals.

Requirements

• Bachelor's degree in Computer Science, Data Analytics or related field with +2 years of professional experience in a Data Warehouse Engineering or related roles
• Advanced SQL skills with focus on query performance tuning and best practices.
• Proficiency in designing robust data warehouse architectures that support high-volume analytics and business reporting.
• Working knowledge of Python focused on scripting, operational automation, and reverse-ETL.
• Proficiency in Apache Spark (PySpark/Spark SQL) for large-scale data engineering.
• Experience with analytics engineering concepts and tools (dbt, Dataform, or equivalent tool) is a plus.
• Good communication skills in English is a must, with the ability to explain insights clearly to non-technical stakeholders.