The Opportunity

As a Data Engineering Lead at Nascent, you'll take ownership of designing and building the core data infrastructure that underpins our multi-asset, multi-strategy trading and investment platform. You’ll drive the development of real-time data pipelines, core transaction and position processing engines, and intuitive tools to support portfolio management, risk, and research. From designing systems that handle high-throughput, high-fidelity data to implementing tools that surface insights in milliseconds, your work will be instrumental in enabling fast, intelligent decision-making across the firm.

You will thrive in this role if you are a strategic thinker with a proven track record in building 0->1 systems, particularly in highly nuanced environments requiring numerical diligence. You have a passion for working with large datasets and a desire to leverage data to drive business insights and support decision-making. If you’re self-driven, obsessed with making sense of complex datasets and driving organizational change, and love high-agency roles, this is the perfect opportunity for you.

Key Responsibilities

Design, build, and maintain high-throughput data pipelines and infrastructure to support real-time trading, risk, and research workflows
Leverage AI agents as a first-class part of our dev lifecycle while building the guardrails, workflows, and instrumentation to support them at scale—without compromising engineering standards, legibility, or consistency
Collaborate closely with portfolio managers, engineers, and researchers to surface actionable insights from complex, high-volume datasets
Build internal tools and interfaces that make quantitative data intuitive, explorable, and decision-ready
Establish data quality and anomaly detection systems to ensure integrity and reliability at scale
Lead the technical strategy for data infrastructure, including tool selection, system architecture, and long-term roadmap
Champion engineering best practices around code quality, observability, and performance optimization
Own projects end-to-end—from ideation and prototyping to deployment and maintenance—within a fast-moving, autonomous environment

About you

You thrive in less structured environments and are at your best when driving and delivering results with the freedom to build and execute your own plan
You are as excited by starting a project as completing, maintaining, and continually optimizing it
You find the plethora of opportunities to leverage data to drive value for the firm exciting versus overwhelming

Preferred Experience

Experience developing complex software solutions such as rules engines, risk systems, or search engines
Experience building user interfaces for efficient display of quantitative data, metrics, and analysis
Exposure to a quantitative discipline or an industry where timestamps count - finance and crypto are great, but can also be AdTech or Gaming.
Substantive experience building and maintaining high throughput data systems and detecting anomalous data
Excellent Python and SQL skills, some experience with Rust or C++ will also be helpful
Comfort in command-line Linux, Docker, and memory profiling/logs analysis
Hands-on experience from beginning to end of a shipped working product (i.e., you’re an experienced builder)
Proven experience working with a diverse set of technical and non-technical stakeholders

Data Engineering Lead

Anywhere in the world

Remote

Senior ++

Nascent