Data Engineering Manager - Scalable Pipelines & Leadership

Hangry; Jakarta Pusat; On-site; IDR 180,000,000 - 300,000,000; Full time

Job summary

Hangry is seeking a data engineer to design scalable data architectures, build robust pipelines, and deliver production-ready analytics platforms. You will optimize data delivery, reduce technical debt, and evaluate new tools while collaborating with stakeholders globally.

The role emphasizes production experience, cloud proficiency, and strong problem-solving and communication skills to balance speed, quality, and cost.

Qualifications

• Bachelor’s degree or equivalent in a related field.
• Minimum 3 years of experience in data engineering or related roles.
• Hands-on experience with end-to-end data platforms in production.

Responsibilities

• Design and optimize scalable, cost-efficient end-to-end data architectures.
• Build reusable frameworks, templates, and automation to reduce repetitive work.
• Develop and maintain reliable data pipelines, real-time systems, and analytics platforms.
• Deliver production-ready solutions under tight timelines without compromising quality.
• Resolve complex production issues independently and implement long-term fixes.
• Evaluate new tools and architectures with cost–benefit analyses.
• Proactively reduce technical debt and scalability issues.

Skills

Data engineering

Production systems

Data pipelines

Data warehouses/lakes

Cloud platforms

Batch vs streaming

Analytics workflows

Problem solving

Communication

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field

Job description

Hangry is seeking a data engineer to design scalable data architectures, build robust pipelines, and deliver production-ready analytics platforms. You will optimize data delivery, reduce technical debt, and evaluate new tools while collaborating with stakeholders globally.

The role emphasizes production experience, cloud proficiency, and strong problem-solving and communication skills to balance speed, quality, and cost.