D&A engineer Front Office | BFSI | Bangalore

• Opportunity to drive endtoend data impact at scale
• Work in a fast paced environment
  
  

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 professional experience as a FO engineer, ideally in a buy-side, sell-side, or trading environment.

• Deep expertise in Python, with strong 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-[phone removed]