Senior Customer Data Engineer | Elliptic · Teeming.ai
Elliptic
Elliptic is the leader in digital asset decisioning. We have built the most comprehensive platform with unrivalled uptime and scalability for efficiently extracting crypto data and intelligence with…
Elliptic is the leader in digital asset decisioning. We have built the most comprehensive platform with unrivalled uptime and scalability for efficiently extracting crypto data and intelligence with…
Recent financing: $120M Series D (May 2026) led by One Peak
Company Overview
Problem Domain
Financial-crime compliance, transaction surveillance and blockchain intelligence for regulated institutions and exchanges.
Founded
2013
Industry
Financial Services
Funding Track Record
Seed- 2014-07-16
$2M
Reported seed investment for insured bitcoin storage service
Venture- 2016-03-21
$5M
Reported raise for blockchain forensics/compliance product
Growth- 2019-09-03
$23M
Reported to support Asia expansion
Series C- 2021-10-11
$60M
Announced Series C
Corporate / Strategic- 2025-09-24
Strategic investment by HSBC; HSBC joined board
Series D- 2026-05-12
$120M
Series D with participation from Nasdaq Ventures, Deutsche Bank and the British Business Bank; round values company at $670M (reported)
Investor Signal
“Backed by a mix of venture and strategic investors including One Peak, Nasdaq Ventures, Deutsche Bank, the British Business Bank, HSBC, Wells Fargo Strategic Capital, JPMorgan Chase, Santander InnoVentures, SoftBank Vision Fund 2 and Evolution Equity Partners”
Founders
What we do
Join the Team
Senior Customer Data Engineer
On-SiteLondon, GB
On-Site • London, GB
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Who you are
Expert level in (Javascript|Typescript|Python)
Has 5+ years commercial experience
Experience building resilient distributed architectures
Use data to make decisions about what to build and how to iterate
Can interpret requirements from numerous stakeholders to design solutions
Experience guiding and mentoring junior engineers
Enjoy working as part of a close-knit team on highly impactful problems
Promote a positive culture of collaboration, through open and effective communication, particularly when addressing issues or raising concerns
Are not afraid to fail, experiment often, and learn quickly
Experience architecting B2B SaaS data model and strong understanding of customer lifecycle metrics
Prior work with subscription/usage-based business models
Familiarity with GenAI retrieval patterns and vector databases
HODLs/trades/stakes crypto
What the job involves
Benefits
Share options
Health insurance
Hybrid Working
Individual training budget of USD 1,000 a year
Mental Health Support
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Great customer experiences are powered by great technical infrastructure. At Elliptic, we're not just connecting systems – we're building the integrations and custom applications that enable our revenue teams to operate at scale
You'll be the technical architect behind our GTM technology stack, developing a cohesive data ecosystem that pulls together all of our commercial and customer data enabling our pricing engine, contract management, and business intelligence platforms
This isn't just systems integration – you're building the technical infrastructure that enables Elliptic to deliver seamless experiences across the entire customer lifecycle, from first touch to renewal and expansion
Architect the foundation our revenue organisation is built on; you'll define how we structure, store, and access customer data across the full lifecycle—from first touch to ongoing expansion—creating the foundation for data-driven commercial decisions and AI-powered automation
This role sits at the intersection of data engineering, product architecture, and revenue operations
You'll translate complex business requirements across marketing, sales, and customer success into elegant data models that enable seamless customer experiences and powerful analytics
Design and implement a comprehensive customer data model spanning contracts, subscriptions, usage metrics, engagement signals, and commercial interactions
Create data dictionaries, lineage, entity-relationship diagrams, and technical specifications
Build the object-oriented data structures that power our CRM (HubSpot) and create relationships between custom objects for B2B SaaS operations
Architect data schemas that support both transactional systems (CRM, billing, contracts) and analytical workloads (reporting, AI/ML)
Define data governance standards, naming conventions, and quality frameworks
Build ETL/ELT processes that create a single, unified view of the customer across all touchpoints
Design high-performance data structures optimized for GenAI retrieval and agent-based querying
Implement real-time and batch data sync patterns for operational and analytical use cases
Ensure data freshness, consistency, and reliability across the full customer data ecosystem
Create data models for screenings management and usage tracking across customer segments
Architect self-serve purchase journey tracking with complete audit trails
Design automation-friendly data structures for renewal and expansion pipeline generation
