Master Data Engineer

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

As a leading, global 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?

Visit: https://careers.fitch.group/content/Technology-and-Data/

How You’ll Make an Impact:

• 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/Redis: TTL strategies, invalidation, key design.
• CI/CD and IaC with GitHub, Git/GitHub workflows, ArgoCD.
• Security and reliability: IAM, KMS, secrets, VPC networking, observability (OpenTelemetry), SLOs, cost governance.
• Ability to solve complex data-driven requirements and triage towards defects and production bugs
• Technology solutions and tools including data governance and catalog solutions (e.g. Collibra, Alation, data platform and lake(house) (i.e. ‘medallion’ architecture), and data mesh and virtualization tools (e.g. Starburst, Denodo) .

What Would Make You Stand Out:

• Direct experience building, operationalizing, or scaling master data solutions across multiple domains (e.g., customer, entity, product, reference data).
• Demonstrated ability to balance master data integrity with delivery speed in agile, product-aligned teams.
• Hands-on experience building AI agents (e.g., using LangChain or LlamaIndex), implementing RAG over enterprise data, and enforcing robust guardrails through rigorous testing and evaluation.
• Applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q) and using agentic AI to automate workflows such as code reviews, test generation, data quality checks, and runbook execution.
• Experience working with AI connection protocols (e.g., MCP, A2A) that ensure secure, interoperable, observable, and vendor-agnostic communication with authenticated, auditable messaging and robust error handling.
• Caching with Valkey/Redis: TTL strategies, invalidation, key design.
• Experience with forming strong partnerships with stakeholders and product teams.
• Great interpersonal and collaboration skills.
• Ability to translate technical concepts to non-technical stakeholders.
• A relevant AWS Certification

Why Choose Fitch:

• Hybrid Work Environment: 3 days a week in office required based on your line of business and location
• A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity
• Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals
• Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing
• Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively
• Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe
• Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community

Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.

Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

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