Data Engineer - Asset Management/Capital Markets

BIP US; New York (NY); Hybrid; USD 160,000 - 200,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Discretionary bonus

401k matching

Job summary

BIP US is seeking a hands-on Mid–Senior Data Engineer to lead design and delivery of complex data products for Portfolio Management, Trading, and Risk Analytics. You will architect data platforms, build scalable pipelines, and guide engineers across backend, API, and front‑end layers.

The role requires deep experience in Python, SQL, cloud data environments (Azure, Snowflake, AKS), and a strong track record in asset management data domains.

Qualifications

• 7–10+ years software engineering in backend/data engineering and frontend

Responsibilities

• Lead front‑office data products including ingestion, transformation, APIs, and React UIs.
• Build scalable data pipelines for high‑volume, near‑real‑time investment data.
• Own data models and data products for positions, transactions, pricing, market data, and risk analytics.
• Design REST/GraphQL APIs and data access patterns for applications and analytics.

Tools

Azure

Snowflake

AKS

Python

SQL

REST/GraphQL APIs

React

Data pipelines

Data modeling

APIs design

Job description

Business Integration Partners (BIP) is Europe’s fastest growing digital consulting company and are on track to reach the Top 20 by 2030, with an expanding global footprint in the US (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. We integrate deep industry expertise with business, technology, and quantitative disciplines to deliver high-impact results for our clients.

BIP is currently expanding its footprint in the United States, focusing on growing its Capital Markets and Financial Services lines. Our teams operate at the intersection of business strategy, technology, and data to help our clients drive smarter decisions, reduce risks, and stay ahead in a fast-evolving market environment.

About the Role:

We are seeking a hands‑on Mid – Senior level Data Engineer to lead the design and delivery of complex data products supporting Portfolio Management, Trading, Risk Analytics, and other front‑office investment teams.

The ideal candidate brings deep experience with Python, SQL, APIs, cloud‑based data platforms, and investment‑management data, along with the ability to make architectural decisions, establish engineering patterns, review technical designs and code, and provide direction to other engineers.

This role will remain deeply involved in design and development while helping improve the quality, effectiveness, and delivery capabilities of the broader engineering team.

Key Responsibilities:

• Lead the design and development of front‑office data products spanning data ingestion, transformation, database design, APIs, and React‑based user experiences.
• Build and enhance scalable data pipelines for critical investment data sources, including high‑volume and near‑real‑time datasets where required.
• Design scalable database structures and data models spanning source‑aligned data through curated, consumption‑ready datasets.
• Own data products covering positions and holdings, transactions and investment activity, security and instrument master data, pricing and valuations, market data, reference data, accounts and portfolios, and related risk and analytics data.
• Define how investment data domains connect to create coherent, trusted data products for Portfolio Managers, Traders, Risk professionals, and other front‑office users.
• Design and develop REST and/or GraphQL APIs and data‑access patterns supporting applications, analytics workflows, and AI‑enabled solutions.
• Build and guide the development of React‑based applications that allow investment professionals to explore, validate, and interact with complex data.
• Partner directly with Portfolio Management, Trading, Risk, Data, and other stakeholders to translate complex business workflows into scalable technical solutions.
• Own technical design decisions including data models, integration approaches, API contracts, performance considerations, and user‑experience patterns.
• Break complex initiatives into clearly defined engineering workstreams and coordinate execution across multiple engineers.
• Provide technical guidance, mentoring, code reviews, and design feedback to engineers across the team.
• Establish and reinforce engineering standards covering code quality, testing, observability, documentation, reliability, performance, and maintainability.
• Identify and resolve complex issues involving data quality, reconciliation, pipeline performance, query optimization, data lineage, API performance, and front‑end usability.
• Lead end‑to‑end troubleshooting of production issues spanning source systems, pipelines, databases, APIs, and end‑user applications.
• Leverage modern AI‑assisted engineering tools to accelerate software development, testing, debugging, documentation, data analysis, and solution design.
• Identify opportunities to incorporate AI assistants, agents, and natural‑language workflows into the way users interact with trusted investment data.

Required Skills and Experience:

• 7 -10+ years of professional software engineering experience, with significant hands‑on experience across backend/data engineering and front‑end development.
• Demonstrated experience as a Technical Lead, Lead Engineer, or Senior Engineer responsible for providing technical direction to other developers.
• Strong programming skills in Python, with experience building production‑grade data pipelines, services, and applications.
• Expert‑level SQL skills with strong experience designing, querying, and optimizing relational and analytical database structures.
• Deep experience building complex data pipelines involving ingestion, transformation, validation, reconciliation, and delivery of large‑scale datasets.
• Strong experience designing and developing REST and/or GraphQL APIs.
• Experience with cloud‑based data environments and modern analytical warehouses; Azure, Snowflake, and Azure Kubernetes Service (AKS) is required.
• Strong understanding of the complete data lifecycle from source ingestion and transformation through storage, curated data products, APIs, applications, analytics, and AI consumption.
• Proven ability to make architectural and implementation decisions across data, backend, API, and front‑end layers.
• Experience reviewing technical designs and code produced by other engineers and driving improvements in quality, performance, and maintainability.
• Experience leading complex engineering initiatives from requirements and architecture through implementation, testing, deployment, and production support.
• Significant experience within asset management, investment management, capital markets, or a similarly complex financial‑data environment.
• Strong knowledge of front‑office investment data domains including positions/holdings, transactions, pricing, market data, security master, reference data, account and portfolio data, and risk/analytics data.
• Ability to understand how investment data domains interact and how they support Portfolio Managers, Traders, Risk professionals, and investment analytics users.
• Strong experience using modern AI‑assisted development tools such as Codex, Claude, Cursor, GitHub Copilot, or similar technologies.
• Strong communication skills with the ability to work directly with both engineering teams and front‑office stakeholders.
• Ability to operate effectively in a high‑expectation environment with significant ownership of production systems and delivery outcomes.

Compensation:

**The base salary range for this role is $160,000 - $200,000**

• 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.
• Paid parental leave.
• Remote/hybrid work environment support.

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

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.