Data Engineer: Modern Data Pipelines & Analytics

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

Job summary

FIT HUB in Jakarta, Indonesia, is seeking a Data Engineer to build and operate reliable data foundations powering business reporting, product analytics, and advanced analytics. You will own data pipelines and curated datasets for sales, membership analytics, and class activity, while ensuring privacy and cost efficiency.

You will collaborate with Product, Tech, Data, Commercial, Finance, and the CEO Office to deliver trusted data products and scalable analytics assets that support decision

Qualifications

• 3+ years of experience as a Data Engineer building and operating production data pipelines.
• Strong SQL skills and solid analytical data modeling fundamentals.
• Proficiency in Python for pipeline development, automation, and tooling.
• Experience with multiple data sources and formats, including structured and semi-structured data.

Responsibilities

• Build and maintain production-grade data pipelines (batch and event-based) powering core business reporting.
• Develop curated datasets and data models to improve metric consistency and dashboard performance.
• Support migration and modernization of legacy reports and improve analytics asset maintainability.
• Enable machine learning delivery by building feature pipelines and feature store patterns.
• Improve reliability by monitoring pipeline health, data quality, and alerting.
• Implement data governance and privacy controls with masking and access patterns.
• Drive cost efficiency through query and pipeline optimization.
• Collaborate with stakeholders to translate requirements into data contracts and reusable pipelines.

Skills

SQL

Data modeling

Python

Data pipelines

Job description

FIT HUB in Jakarta, Indonesia, is seeking a Data Engineer to build and operate reliable data foundations powering business reporting, product analytics, and advanced analytics. You will own data pipelines and curated datasets for sales, membership analytics, and class activity, while ensuring privacy and cost efficiency.

You will collaborate with Product, Tech, Data, Commercial, Finance, and the CEO Office to deliver trusted data products and scalable analytics assets that support decision