Reference Data Software Engineer

About the role

Company Overview

Business Integration Partners (BIP) is Europe’s fastest growing digital consulting company and is on track to reach the Top 20 by 2030, with an expanding global footprint in the US across New York, Charlotte, Chicago, and Houston. Operating at the intersection of business and technology, we design, develop, and deliver sustainable solutions at pace and scale, creating greater value for our customers, employees, shareholders, and society.

BIP specializes in high-impact consulting services across multiple industries with 6,000 employees worldwide. Our Financial Services business serves Capital Markets, Insurance and Payments verticals, supplemented with Data & AI, Cybersecurity, Risk & Compliance, Change Management and Digital Transformation practices.

About the Role

We are seeking a hands-on Reference Data Software Engineer with 5+ years of professional software engineering experience to develop and enhance enterprise reference data platforms supporting investment-management and front-office workflows.

This role is focused on software development, engineering execution, and delivering production-quality features and functionality within an established technical architecture. The successful candidate will work across security master and organization static data platforms supporting public and private equity, credit, derivative, and other financial instruments.

The ideal candidate brings strong hands-on C#/.NET and Python development experience, solid server-side engineering capabilities, and experience working with APIs, microservices, messaging, caching, databases, and data-processing components. Experience with securities, reference data, security master, or investment data is highly valuable.

The focus is on being a strong engineer who can understand defined designs and requirements, solve technical problems, and execute effectively.

Key Responsibilities

Develop and enhance enterprise Reference Data and Security Master applications supporting investment-management workflows.

Build production-quality server-side services and components using C#/.NET and Python.

Implement APIs, microservices, messaging-based integrations, caching solutions, and other middle-tier/backend functionality.

Develop and maintain data-processing workflows covering ingestion, transformation, cleansing, validation, enrichment, and distribution.

Implement reference data models supporting securities, issuers, organizations, legal entities, identifiers, and related relationships.

Work with relational and other database technologies to support reference data storage, retrieval, cross-referencing, and golden-record processes.

Translate functional and technical requirements into reliable, maintainable software solutions.

Collaborate with senior engineers, architects, business analysts, PMs, and business users to deliver new functionality.

Write clean, testable, production-quality code and participate in code reviews, testing, deployment, and troubleshooting.

Diagnose and resolve application, integration, and data-related issues within production environments.

Use modern AI-assisted development tools and LLM-based coding assistants to improve engineering productivity and accelerate delivery.

Contribute to globally distributed Agile engineering teams and deliver against established technical designs and development standards.

Required Skills and Experience

5+ years of professional software engineering experience, with hands-on experience building enterprise applications, data platforms, or server-side systems.

Strong hands-on development experience with C#/.NET and Python.

Solid server-side/middle-tier engineering experience, including APIs, microservices, messaging, caching, and system integrations.

Experience developing data-processing components involving ingestion, transformation, cleansing, validation, or enrichment.

Strong SQL and database development skills.

Experience with relational databases; exposure to graph, object, or other database technologies is beneficial.

Experience implementing data models and working with complex data relationships.

Experience working with Reference Data, Security Master, Master Data Management, securities data, or comparable enterprise data domains.

Understanding of securities and investment data, ideally including exposure to credit instruments such as loans, bonds, or CLOs.

Experience within asset management, investment management, capital markets, banking, or financial services.

Experience working in cloud-based engineering environments; Azure experience is particularly relevant.

Practical experience using AI-assisted engineering tools, coding assistants, or LLM-based development technologies.

Strong analytical and problem-solving skills with the ability to understand requirements and execute against defined technical designs.

Strong communication skills and ability to collaborate effectively with engineers, analysts, PMs, and business stakeholders.

Preferred Qualifications

Experience with Security Master or Reference Data platforms.

Familiarity with security identifiers such as CUSIP, ISIN, SEDOL, and FIGI.

Experience with identifier mapping, cross-reference processing, golden records, or entity resolution.

Exposure to corporate actions and their impact on security/reference data.

Experience with private credit, private equity, alternative assets, or broader private-markets data.

Hands-on experience with Azure and/or Snowflake.

Experience with graph databases or complex issuer/security/legal-entity relationship models.

Experience with messaging-driven or event-driven applications.

Experience applying AI tools to software development, data quality, entity matching, or engineering productivity.

Compensation:

**The base salary range for this role is $120,000 - $160,000, with flexibility for exceptional candidates.**

Benefits:

Choice of medical, dental, vision insurance.

Voluntary benefits.

Short- and long-term disability.

HSA and FSAs.

Matching 401k.

Discretionary performance bonus.

Employee referral bonus.

Employee assistance program.

11 public holidays.

20 days PTO.

7 Sick Days.

PTO buy and sell program.

Volunteer days.

Paid parental leave.

Remote/hybrid work environment support.

For more information about BIP US, visit https://www.bip-group.com/en-us/.

Equal Employment Opportunity:

It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.

BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge.