Senior Data Engineer

Hangry; Indonesia; Hybrid; IDR 200.000.000 - 300.000.000; Full time

Job summary

A dynamic food technology company in Indonesia is looking for a Senior Data Engineer to design and implement data platforms that drive business decisions. You will optimize data architectures and resolve production issues while collaborating with stakeholders. Qualified candidates should have a Bachelor's degree in a related field and at least 3 years of relevant experience. This position also offers a hybrid work model and comprehensive health coverage.

Benefits

Hybrid Work Model

Health Coverage

Mental Health Support

Competitive Compensation

Paid Leave

Qualifications

• Minimum 3 years of experience in data engineering or related roles.
• Strong experience building and operating production-scale data systems.
• Hands-on experience with data warehouses/lakes.

Responsibilities

• Design and optimize scalable, cost-efficient end-to-end data architectures.
• Develop and maintain reliable data pipelines and analytics platforms.
• Resolve complex production issues independently.

Skills

Data pipelines construction

Production systems operation

Problem-solving

Data processing (batch and streaming)

Communication with stakeholders

Education

Bachelor’s degree in Computer Science or related field

Tools

Cloud platforms

Job description

As a Senior Data Engineer, you will design, build, and scale data platforms that power key business decisions. You will work end-to-end—from defining the right architecture and managing cost efficiency to delivering fast, reliable, and scalable data solutions. This role requires strong technical judgment, ownership of production systems, and the ability to connect engineering decisions with real business impact.

What You'll Do

• Design and optimize scalable, cost-efficient end-to-end data architectures.
• Improve data delivery speed and engineering efficiency year over year.
• 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, frameworks, and architectures with clear cost–benefit analysis.
• Proactively reduce technical debt and prevent recurring scalability issues.
• Make and communicate technical trade-offs (e.g., batch vs. streaming, build vs. buy).
• Apply advanced data or analytics concepts in production systems.
• Act as a technical authority through code reviews, design reviews, and best practices.
• Collaborate with stakeholders and translate technical decisions into business impact.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
• Minimum 3 years of experience in data engineering or related roles.
• Strong experience building and operating production-scale data systems.
• Hands‑on experience with data pipelines, data warehouses/lakes, and cloud platforms.
• Solid understanding of batch and streaming data processing.
• Experience supporting analytics, machine learning, or AI data workflows.
• Strong problem‑solving skills in complex production environments.
• Strong judgment in balancing speed, quality, cost, and scalability.
• Clear communication skills with both technical and non‑technical stakeholders.

Why Join Us

At Hangry, your ideas will feed millions. Your growth will match your ambition.

• Impact: Your work won’t sit in slides—it’ll show up in real products that customers order and love every day.
• Team DNA: Work with people who are humble, hungry to learn, and driven to win—together.
• Support & Leadership: We don’t believe in egos—only ideas. We coach, we listen, and we grow as a team.
• Autonomy & Speed: Your voice matters. Your decisions count. And we move fast.

Perks & Benefits

• Hybrid Work Model: Balance between productivity and personal flexibility.
• Health Coverage: Comprehensive support for you and your family.
• Mental Health Support: Free, confidential counseling from certified professionals.
• Competitive Compensation: Fair pay for great work.
• Paid Leave: 15+ days off annually, with extra days for every work anniversary.