Senior Data Engineer — Scalable ETL & Analytics (On-site)

NTT Ltd.; Jakarta Pusat; On-site; IDR 400,000,000 - 700,000,000; Full time

Job summary

NTT DATA is seeking a Senior Associate Data Engineer in Jakarta to transform data into structured formats for analytics and reporting. The role involves building scalable ETL pipelines and designing robust data models to support business intelligence and data science needs.

You will work with Azure Data Factory, SQL Server, SAP Data Services, and SAP BTP, collaborating with stakeholders to ensure data quality, governance, and availability across enterprise systems.

Qualifications

• Bachelor’s degree or equivalent in computer science, software engineering, information technology, or a related field.
• Relevant certifications preferred such as SAP, Microsoft Azure etc.
• Certified Data Engineer or similar certification is a plus.

Responsibilities

• Contributes to creation of data models for analysis.
• Designs and develops scalable ETL packages from source systems.
• Implements data migrations across databases and ERP systems (e.g., MS Dynamics, Oracle, SAP).
• Tests and validates data transformations to ensure accuracy and quality.
• Supports data architecture with both physical and logical modelling considerations.

Skills

Data modelling

Analytical mindset

Problem-solving

Communication

Relationship building

Programming (Perl, Bash, Shell, Python

Education

Bachelor’s degree in CS/SE/IT or related field

Relevant certifications (SAP, Microsoft Azure)

Tools

Microsoft Azure Data Factory

SQL Analysis Server

SAP Data Services

SAP BTP

Hadoop

Cassandra

Storm

Job description

NTT DATA is seeking a Senior Associate Data Engineer in Jakarta to transform data into structured formats for analytics and reporting. The role involves building scalable ETL pipelines and designing robust data models to support business intelligence and data science needs.

You will work with Azure Data Factory, SQL Server, SAP Data Services, and SAP BTP, collaborating with stakeholders to ensure data quality, governance, and availability across enterprise systems.