Job Description
Job DescriptionCareer Renew is recruiting for one of its clients a Data Engineering Lead - Web3 - this is a fully remote role for candidates based in US, Canada or Europe (if they can overlap 5 hours with EST timezone).
As a Data Engineering Lead, 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 organisational change, and love high-agency roles, this is the perfect opportunity for you.
Key Responsibilities
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Design, build, and maintain high-throughput data pipelines and infrastructure to support real-time trading, risk, and research workflows
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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
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Collaborate closely with portfolio managers, engineers, and researchers to surface actionable insights from complex, high-volume datasets
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Build internal tools and interfaces that make quantitative data intuitive, explorable, and decision-ready
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Establish data quality and anomaly detection systems to ensure integrity and reliability at scale
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Lead the technical strategy for data infrastructure, including tool selection, system architecture, and long-term roadmap
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Champion engineering best practices around code quality, observability, and performance optimization
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Own projects end-to-end—from ideation and prototyping to deployment and maintenance—within a fast-moving, autonomous environment
About you
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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
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You are as excited by starting a project as completing, maintaining, and continually optimizing it
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You find the plethora of opportunities to leverage data to drive value for the firm exciting versus overwhelming
Preferred Experience
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Experience developing complex software solutions such as rules engines, risk systems, or search engines
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Experience building user interfaces for efficient display of quantitative data, metrics, and analysis
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Exposure to a quantitative discipline or an industry where timestamps count - finance and crypto are great, but can also be AdTech or Gaming.
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Substantive experience building and maintaining high throughput data systems and detecting anomalous data
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Excellent Python and SQL skills, some experience with Rust or C++ will also be helpful
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Comfort in command-line Linux, Docker, and memory profiling/logs analysis
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Hands-on experience from beginning to end of a shipped working product (i.e., you’re an experienced builder)
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Proven experience working with a diverse set of technical and non-technical stakeholders