Investment / Asset Management Data Engineer

Bridgenext is a global digital consultancy that helps enterprises integrate fragmented platforms, teams, and data into growth operating systems. The Investment / Asset Management Data Engineer will design, build, and maintain investment data pipelines across public and private markets, using market data feeds such as Bloomberg and platforms such as Databricks. The role partners with investment, risk, technology, architecture, and subject-matter stakeholders to support a multi-year target-state data ecosystem and analytics use cases.

Responsibilities

• Design, build, and maintain data pipelines supporting core investment data domains (Holding, Security, Relationship, and Transaction data) across public and private markets
• Work with Bloomberg and other market data feeds, including restricted product data, ensuring accurate ingestion, transformation, and downstream availability
• Partner with investment, risk, and technology stakeholders to translate business requirements into robust, well-modeled data pipelines
• Contribute to the ongoing build-out of the target-state data ecosystem as part of a multi-year roadmap, not a one-time implementation
• Support analytics use cases, with particular attention to Fixed Income data and analytics
• Build and optimize pipelines on Databricks (or comparable modern data platform), applying engineering best practices for scalability, reliability, and data quality
• Collaborate with data architects and SMEs to ensure pipeline design aligns with investment data structures and consumption patterns across the firm

Preferred

• Databricks or equivalent modern data platform experience
• CFA designation (full or partial) or other meaningful investment-domain credentials/knowledge
• Prior experience supporting a data platform modernization or target-state data architecture initiative in asset management
• Familiarity with Fixed Income analytics
• Databricks
• Modern Data Platforms
• CFA Designation
• Investment Domain Knowledge
• Investment Credentials
• Data Platform Modernization
• Target-State Data Architecture
• Asset Management Experience
• Fixed Income Analytics

Benefits

• A flexible, inclusive culture that gives you autonomy, resources, and opportunities to thrive.
• This role is hybrid and open to candidates in the Greater Boston area.

Company

• Digital consultancy delivering products, experiences, and modernization services
• Jacksonville, Florida, USA
• https://www.bridgenext.com/
• Founded in 1995
• 1001-5000 employees

Qualifications

• Strong hands-on data engineering / data pipeline development experience (ETL/ELT, orchestration, data modeling)
• Demonstrated background working with investment/asset management data — not just financial services generally
• Exposure to both public markets and private markets data
• Understanding of hedge fund and/or broader investment product structures
• Practical experience with Bloomberg data (feeds, terminal data, reference data, or similar)
• Solid grasp of investment-data structures and flows (how holdings, securities, transactions, and relationships connect and move through the enterprise)
• US citizens and those authorized to work in the USA
• Databricks or equivalent modern data platform experience
• CFA designation (full or partial) or other meaningful investment-domain credentials/knowledge
• Prior experience supporting a data platform modernization or target-state data architecture initiative in asset management
• Familiarity with Fixed Income analytics

Required skills

• Data Engineering, ETL/ELT, Data Pipeline Development, Data Orchestration, Data Modeling, Investment and Asset Management Data, Public Markets Data, Private Markets Data, Investment Product Structures, Bloomberg Data, Databricks, Investment Data Structures and Flows, CFA

Preferred skills

• Databricks or equivalent modern data platform experience, Familiarity with Fixed Income analytics

Experience

• Mid level