About Our Client

The organisation is an investment management firm.

Job Description

Essential Responsibilities:* Take responsibility for the design, curation, and delivery of Credit Reference Data across the firm.
Combine quantitative skills, strong 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 qualified experience as a FO engineer, ideally in a buy-side, sell-side, or trading environment.
Deep expertise in Python,



with solid 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.
Solid 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.
Experi

📌 D&a Engineer Front Office Bfsi Bangalore Bengaluru
🏢 Michael Page
📍 Bengaluru