Data Engineer: Build Trusted Data Pipelines & ML Features

FIT HUB; Jakarta Pusat; On-site; IDR 180,000,000 - 260,000,000; Full time

Job summary

FIT HUB is a Jakarta-based health and wellness startup seeking a Data Engineer to build and operate data pipelines powering reporting, analytics, and ML features. You will own curated datasets for sales, membership analytics, and user activity, while ensuring data quality, governance, and cost efficiency.

Join a cross-functional team collaborating with Product, Tech, Data, Finance, and leadership to deliver trusted data products and scalable data platforms.

Qualifications

• 3+ years of experience building and operating production data pipelines.
• Strong SQL skills and solid analytical data modeling fundamentals.
• Proficiency in Python for pipeline development and tooling; building reusable modules.

Responsibilities

• Build and maintain production-grade data pipelines powering core reporting and analytics.
• Develop curated datasets and data models to improve metric consistency and performance.
• Support migration of legacy reports to optimized datasets and improve maintainability of analytics assets.
• Enable machine learning delivery by building feature pipelines and feature store patterns.
• Improve reliability with monitoring, data quality checks, and runbooks.
• Implement data governance and privacy controls: masking and access patterns; document datasets.
• Drive cost efficiency through query and pipeline optimization.
• Collaborate with stakeholders to translate business requirements into reusable pipelines and datasets.

Skills

SQL

Python

Data modeling

Communication

Job description

FIT HUB is a Jakarta-based health and wellness startup seeking a Data Engineer to build and operate data pipelines powering reporting, analytics, and ML features. You will own curated datasets for sales, membership analytics, and user activity, while ensuring data quality, governance, and cost efficiency.

Join a cross-functional team collaborating with Product, Tech, Data, Finance, and leadership to deliver trusted data products and scalable data platforms.