Data Engineer (Audit)

PT. Erajaya Swasembada, Tbk.; Jakarta Pusat; On-site; IDR 180,000,000 - 300,000,000; Full time

Job summary

PT. Erajaya Swasembada, Tbk. is seeking an experienced data analytics professional to design and maintain data pipelines for robust ETL processes, enabling reliable insights for risk and audit domains.

You will translate complex data findings into actionable insights, proactively detect anomalies, and contribute to IT risk assessments across cybersecurity, data protection, and system availability, delivering clear recommendations to strengthen controls.

Qualifications

• 3+ years of experience in designing and deploying large-scale distributed data processing systems.
• Strong analytics and ability to communicate insights effectively.
• Experience with GCP/AWS data services is a plus.
• Familiarity with cybersecurity and IT risk concepts is desirable.

Responsibilities

• Develop and maintain data pipelines for ETL processes.
• Detect fraud and policy violations in structured and unstructured data using advanced analytics.
• Translate complex data findings into actionable insights.
• Identify and prioritize IT risks across cybersecurity, data protection, and availability.
• Deliver risk-based audit reports with clear recommendations to strengthen controls.
• Monitor remediation status and ensure evidence-based action plans.

Skills

Data engineering

Communication

Data mining

Data modeling

DAX

Big data

Python

R

SQL

Tools

BigQuery

DataFlow

Redshift

EMR

SAP

Odoo

Accurate

Job description

Responsibilities

• Developing and maintaining data pipelines for efficient data extraction, transformation, and loading (ETL) processes.
• Proactively detect indications of fraud, collusion or policy violations in structured and unstructured data, using advanced analytics (predictive, prescriptive) to test 100% of the data population, to identify anomalies, patterns, and risk trends.
• Translating Complex Data Findings into Actionable Insights
• Identify, analyze, and prioritize IT risks, root causes, business impacts, and control gaps across cybersecurity, data protection, system availability.
• Deliver practical, risk-based, and business-oriented audit reports with clear recommendations to strengthen controls, improve operational resilience, and support sustainable business improvement.
• Monitor, validate, and report the status of audit issue remediation to ensure management action plans are effectively implemented and evidence-based.

Qualifications

• Minimum 3 years of experience in technical designing and deploying large-scale distributed data processing systems and communicate insights effectively.
• Solid knowledge framework and systematic thinking, familiar with Data Mining, Data Modeling, DAX (Data Analysis Expressions) and Big Data
• Proficient in programming languages for data analysis (Python and/or R) and advanced SQL (GoogleSQL / MySQL / PostgreSQL) for data querying and manipulation.
• Have basic knowledge of data processing services GCP (BigQuery,DataFLow) / AWS (Redshift, EMR) will be an advantage
• Have basic knowledge of enterprise systems (SAP / Odoo / Accurate, etc..) will be an advantage