Business Intelligence Engineer

PT Dwi Cermat Indonesia; Jakarta Pusat; On-site; IDR 334,800,000 - 602,640,000; Full time

Job summary

PT Dwi Cermat Indonesia is seeking a highly technical Business Intelligence Engineer to design, build, and maintain our data infrastructure. You will develop scalable pipelines, robust data models in BigQuery, and optimize the data warehouse to empower BI Analysts and executives with reliable data.

Collaborate with stakeholders to translate data needs into technical specs, implement data quality checks, and optimize query performance.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related technical field.
• Expert-level SQL skills, with the proven ability to write highly optimized advanced queries, stored procedures, and window functions on large-scale data.
• Capable of coding with data processing tools (e.g., Jupyter, Python).
• Deep understanding of data modeling and data warehouse design principles (e.g., dimensional modeling, star schemas).
• Strong analytical and problem-solving skills to debug complex data pipelines and troubleshoot data integrity issues.
• Excellent written and verbal communication skills to translate requirements into technical specs.
• Experience with modern data stack tools is a plus (dbt, Airflow, AWS Glue, Azure Data Factory).

Responsibilities

• Design, build, and maintain scalable and reliable ETL/ELT pipelines for reporting use cases.
• Develop and manage robust data models within the data warehouse (BigQuery) using star schemas.
• Write, optimize, and productionize SQL and Python for data transformation and validation.
• Create and manage optimized data marts and summary tables for BI Analysts.
• Collaborate with BI Analysts and stakeholders to translate data needs into specs.
• Monitor, debug, and optimize data pipeline performance and warehouse health.
• Implement data quality checks and governance processes to ensure data accuracy.

Skills

SQL optimization

BigQuery

Python

Data modeling

ETL pipelines

Data governance

Communication

Education

Bachelor's or Master's in Computer Science or related field

Tools

dbt

Airflow

AWS Glue

Azure Data Factory

Job description

We are seeking a highly technical Business Intelligence Engineer to design, build, and maintain the data infrastructure that powers our analytics. You will be responsible for developing scalable data pipelines, building robust data models, and optimizing our data warehouse. Your work will be the foundation that enables our BI Analysts and business leaders to access clean, reliable, and performant data for their insights and decision-making.

Job Description

• Design, build, and maintain scalable and reliable ETL/ELT pipelines to process data from diverse sources for any reporting use cases.
• Develop and manage robust, reusable data models within our data warehouse (BigQuery) using data modeling best practices (star schemas, etc.).
• Write, optimize, and productionize complex SQL and Python scripts for data transformation, cleaning, and validation to ensure data integrity.
• Create and manage optimized data marts and summary tables that support the specific needs of our BI Analysts and visualization tools.
• Collaborate with BI Analysts and business stakeholders to understand their data requirements and translate them into technical specifications for the data backend.
• Monitor, debug, and optimize data pipeline performance, query speeds, and data warehouse health.
• Implement data quality checks and governance processes to ensure all data is accurate, consistent, and trustworthy.

Qualifications

• Having a bachelor's or master's degree in Computer Science, Information Systems, Engineering, or a related technical field.
• Expert-level SQL skills, with the proven ability to write highly optimized advanced queries, stored procedures, and window functions on large-scale data.
• Capable of coding with data processing tools are a major plus (e.g., Jupyter, Python).
• Deep understanding of data modeling and data warehouse design principles (e.g., dimensional modeling, star schemas) to build efficient data backends.
• Strong analytical and problem-solving skills to debug complex data pipelines, optimize query performance, and troubleshoot data integrity issues.
• Excellent written and verbal communication skills to collaborate with BI Analysts and business stakeholders to translate their requirements into technical specifications.
• Experience with modern data stack tools is a plus (e.g., dbt, Airflow, AWS Glue, Azure Data Factory, or other data orchestration tools).