- Opportunity to drive end‑to‑end data impact at scale
- Work in a fast paced environment

About Our Client The organisation is an investment management firm. Essential Responsibilities:* Take responsibility for the design, curation, and delivery of Credit Reference Data across the firm.

- Combine quantitative skills, robust data engineering literacy, and deep understanding of credit products to ensure that the firm's data architecture supports robust pricing, risk, and analytics.
- Work closely with portfolio managers, analysts, and traders to understand data and research requirements

and build scalable solutions.
- Ingest, transform, and serve large-scale financial datasets across asset classes using Python, Snowflake, and

NoSQL databases (e.g., MongoDB).
- Provide first-line production support, including triaging data issues, monitoring pipeline health, and quickly

responding to front office needs. The Successful Applicant As a successful candidate, you should have -* 8+ years of professional experience as a FO engineer, ideally in a buy-side, sell-side, or trading environment.

- Deep expertise in Python, with robust software engineering practices (version control, testing, CI/CD).




- Proven track record of building robust data pipelines in cloud-native environments (preferably AWS).
- Experience with Docker and container-based deployments.
- Strong knowledge of Snowflake and NoSQL databases (especially MongoDB).
- Solid understanding of credit financial markets and instruments
- Excellent problem-solving skills, with a proactive and ownership-driven mindset.
- Ability to work independently, communicate effectively, and collaborate in a dynamic front office setting.
- Willingness to participate in on-call or front-line production support
- Experience with market data providers (Bloomberg, Refinitiv, etc.)
- Familiarity with tools like Airflow, prefect, or other orchestration frameworks.
- Experience building internal tools or dashboards using Dash, Streamlit, or similar web-based data analytics platforms.
- Experience with GoldenSource or other enterprise data management platforms.

What's On Offer

- Opportunity to work in the business services industry.
- Work in the front office tam of an investment management firm.

Contact Quote job ref: JN-082026-7088564

📌 D&A engineer Front Office | BFSI | Bangalore (Bangalore East)
🏢 Michael Page
📍 Bangalore East