Master Data Engineer - East Java

Michael Page; Indonesia; On-site; IDR 500.083.000 - 833.473.000; Full time

Job summary

A global recruitment firm is seeking a data engineer to drive data quality initiatives in a prominent retail and manufacturing company located in East Java, Indonesia. The ideal candidate should have at least 3 years of experience with Azure technologies and data engineering, with proficiency in SQL and Power BI. You will analyze master data, define quality rules, and develop tools for data validation while communicating findings effectively to stakeholders. Competitive salary and opportunities for growth offered.

Qualifications

• 3+ years of experience with Azure technologies.
• Strong background in data engineering and analysis.
• Proficiency in SQL and data visualization tools.

Responsibilities

• Analyze master data and resolve data quality issues.
• Define data quality rules and implement monitoring systems.
• Develop analytical tools for data validation.

Skills

Data modeling

Analytical thinking

Problem-solving skills

Collaboration in English

Self-driven mindset

Education

Degree in Computer Science or equivalent

Tools

Azure (Data Factory, Data Lakes)

SQL

Power BI

Excel (Power Query, Power Pivot)

SAP or D365

Job description

Overview

• Join a global organization driving digital transformation.
• Work on strategic data initiatives impacting multiple business areas.

About Our Client

Our Client is a Global Retail and Manufacturing company, having their Center of Excellence in East Java.

Job Description

Key Responsibilities

• Analyze master data, identify root causes, and resolve data quality issues.
• Define data quality rules, KPIs, and implement automated monitoring systems.
• Develop internal analytical tools and rule engines for data validation.
• Support data stewards and analysts with profiling and lineage documentation.
• Model data and build integrations across platforms.
• Communicate findings and recommendations to stakeholders clearly and effectively.

The Successful Applicant

Ideal Candidate

• Education: Degree in Computer Science or equivalent.
• Experience:
  • 3+ years with Azure (Data Factory, Data Lakes).
  • Strong background in data engineering and analysis.
  • Proficiency in SQL, Power BI, Excel (Power Query, Power Pivot).
  • Familiarity with SAP or D365; retail or production experience is a plus.
• Skills:
  • Data modeling, profiling, and rule engine development.
  • Strong analytical thinking and problem‑solving skills.
  • Excellent communication and collaboration in English.
  • Self‑driven, structured, and innovative mindset.

What's on Offer

Why This Opportunity?

• Join a global organization driving digital transformation.
• Work on strategic data initiatives impacting multiple business areas.
• Collaborate with international teams in a dynamic, fast‑paced environment.