Master Data Engineer - AI-Driven Data Platform (Jakarta)

Fitch Group, Inc.

Jakarta Pusat

On-site

IDR 900,000,000 - 1,500,000,000

Full time

3 days ago

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Benefits offered by this job

Hybrid work environment

Professional trainings and mobility

Comprehensive healthcare

Job summary

Fitch Group, Inc. is seeking an Engineering & Quality – Master Data Engineer to join the Jakarta, Indonesia office.

You will contribute to a scalable AWS-based data platform, manage master data assets, and lead initiatives across data ingestion, governance, and quality. The role involves collaborating with the CDO team and product leaders, implementing data pipelines, and championing AI-enabled data workflows to enable AI, analytics, and enterprise insights.

Qualifications

3-5 years’ experience hands-on as a data-centric software engineer, preferably in financial services.
Experience with data lake houses (AWS, Databricks, Snowflake).
Exposure to data catalogs & data quality capabilities (Collibra, Alation).
Experience with Master Data Management concepts and pipelines.

Responsibilities

Contribute as a member of a high-performing data engineering team, by implementing modern scalable data solutions aligned with business priorities.
Partner with the CDO team and data product leaders to implement the vision for an AWS-based data platform that enables enterprise-wide self-service, unlocking data for AI, analytics, and innovation.
Implement architectural decisions and establish best practices for data ingestion, transformation, and distribution frameworks that accelerate time-to-insight for data producers and consumers.
Champion adoption of emerging technologies such as Agentic AI and Generative AI, integrating advanced capabilities into data workflows to enhance user experience and position the organization as “AI-Ready.”
Ensure operational excellence and reliability by proactively addressing complex data engineering challenges, implementing robust quality controls, and preventing production incidents.
Contribute to the design, build, and ongoing maintenance of core master data assets to ensure trusted, consistent, and reusable data across the enterprise.
Support master data lifecycle activities including onboarding new domains, integrating downstream consumers, and evolving existing models as business needs change.
Act as the Jakarta site lead and key point of coordination for operations and technology resources across the team locally.