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Engineering & Quality - Software Engineer

Requisition ID: 50657

Business Unit: Fitch Group

Category: Information Technology

Location: Jakarta, ID

Date Posted: Sep 17, 2026

Fitch Group is currently seeking a Engineering & Quality – Master Data Engineer based out of our Jarkarta, Indonesia office.

As a leading, integral financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst.

Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO).Driven by our investment in cutting‑edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a “Best Place to Work in Technology” 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow,



innovate, and make a difference.

Want to learn more about a career in technology and data at Fitch?

- 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.

You May be a Good Fit if:

- 3-5 years’ experience ‘hands‑on’ as a member of a highly technical data‑centric software engineers, preferably in financial services, in support of Data Lake houses (e.g. AWS, Databricks, Snowflake), data virtualizations solutions (e.g. Starburst), modern data catalogs & data quality capabilities (e.g. Collibra), and Master Data Management (e.g. Informatica)
- Experience working with master data concepts such as golden records, survivorship, reference data, and data stewardship in large‑scale enterprise environments.
- Exposure to building or operating master data pipelines and services that integrate with analytics, operational systems, and APIs.
- Proven AWS expertise (S3, EKS, Lambda, Glue, EMR, Redshift, S3, RDS/Aurora, Valkey/Redis, Step Functions, MSK/Kafka, Event Bridge).
- Experience applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q).
- Strong Python for data engineering (Pandas, Spark/PySpark) and API Development (FastAPI or similar).
- Design and build high‑performance REST/GraphQL APIs with optimized query patterns, pagination, caching, and schema design to ensure low‑latency, performant reads at scale.
- Build ETL/ELT pipelines for batch and streaming; Kafka/MSK with schemas (Avro/JSON) and delivery semantics.
- Optimize performance of object‑based and relational datastores
- Design applications with microservices and containerization mindset with ‘decoupling’ architectural principles
- Caching with Valkey/R

📌 Engineering & Quality - Software Engineer (Asia)
🏢 Fitch Group
📍 Asia