Associate Data Engineer

Tritronik; Daerah Khusus Ibukota Jakarta; On-site; IDR 200.668.000 - 401.338.000; Full time

Job summary

A leading data automation company in Jakarta is seeking candidates for a data engineering role. Responsibilities include creating automated data processing with Excel VBA and ensuring consistent data formats. Ideal candidates hold a degree in Computer Science or related fields and have up to 2 years of experience. Strong skills in Excel and VBA are essential, with additional knowledge of SQL or Python as a plus. This position is perfect for fresh graduates looking to start their career in data engineering.

Qualifications

• Fresh graduate or up to 2 years of experience in data automation, scripting, or related work.
• Basic understanding of file formats (CSV, XLSX) and pipeline concepts.
• Familiarity with ETL concepts and workflow automation is a plus.

Responsibilities

• Create and automate data processing using Excel VBA to structure and clean datasets from multiple sources.
• Prepare data for ingestion into parser systems and ensure consistency across formats.
• Validate and verify parsed outputs to maintain accuracy and data integrity.

Skills

Excel proficiency

VBA scripting

Data validation

Analytical thinking

Education

Diploma or Bachelor's degree in Computer Science, Information Systems, or related field

Tools

Excel

VBA

SQL

Python

Job description

Responsibilities

• Create and automate data processing using Excel VBA to structure and clean datasets from multiple sources.
• Prepare data for ingestion into parser systems and ensure consistency across formats.
• Validate and verify parsed outputs to maintain accuracy and data integrity.
• Document workflows, scripts, and pipeline preparation steps for traceability.
• Work closely with technical teams to ensure seamless data flow and integration into existing processes.

Requirements

• Diploma or Bachelor's degree in Computer Science, Information Systems, or related field.
• Fresh graduate or up to 2 years of experience in data automation, scripting, or related work.
• Strong proficiency in Excel and VBA scripting for automation.
• Knowledge of data structuring, validation, and normalization.
• Familiarity with handling large tabular datasets efficiently.
• Basic understanding of file formats (CSV, XLSX) and pipeline concepts.
• Logical and analytical thinking with high attention to detail.
• Basic knowledge of SQL or Python is a plus.
• Familiarity with ETL concepts and workflow automation is a plus.
• Interest in developing a career in data engineering is a plus.