Data Engineer Manager

Hangry; Jakarta Pusat; On-site; IDR 300,000,000 - 540,000,000; Full time

Job summary

Hangry is seeking a Data Engineer to design and optimize scalable end-to-end data architectures in Jakarta. You will improve data delivery speed, build reusable automation, and maintain pipelines and real-time analytics platforms to support business insights.

You will work on production-ready solutions under tight timelines, resolve complex issues, and communicate trade-offs across teams while maintaining high standards for quality and cost efficiency.

Qualifications

• Bachelor’s degree in computer science, engineering, data science, or 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.

Responsibilities

• 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.

Skills

Data pipelines

Data warehouses

Cloud platforms

Batch processing

Streaming processing

Production systems

Analytics workflows

Communication skills

Problem solving

Education

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

Tools

SQL

Python

Apache Spark

Apache Airflow

Cloud platforms (GCP/AWS/Azure)

Job description

• 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.

Qualifications

• 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.