At Fanvue, one of Sunday Times' "Best Place to Work 2025", we empower creators to earn from their fans faster than ever before.
Our incredible team works daily to help creators and independent…
At Fanvue, one of Sunday Times' "Best Place to Work 2025", we empower creators to earn from their fans faster than ever before.
Our incredible team works daily to help creators and independent…
Scale claims: Homepage states >$500M in creator payouts and 200,000+ creators
Funding: Seed round announced Jun 1, 2024 (Crunchbase); public amount obfuscated
Company Overview
Problem Domain
Creator monetization and direct-to-fan commerce
Founded
2020
Industry
IT Services and IT Consulting
Funding Track Record
Seed- 2024-06-01
Crunchbase lists a Seed round announced Jun 1, 2024; public amount obfuscated; Crunchbase shows reported $30M pre-money valuation entry.
Founders
What we do
Join the Team
Senior Data Engineer
RemoteGB
Remote • GB
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Join us in redefining the creator economy with AI
Fanvue is one of the fastest-growing creator monetisation platforms globally. We’re an AI-powered, creator-first platform helping creators connect, engage, and earn directly from their audiences at scale. Following our recent Series A, Fanvue has surpassed $100M+ in annual recurring revenue, with triple-digit year-on-year growth, supporting hundreds of thousands of creators and millions of fans worldwide.
As Fanvue scales, data is becoming a critical execution layer across product, growth, finance, and risk. This role exists to build a production-grade data foundation that the entire company can trust, unlocking faster decision-making, advanced analytics, and machine learning capabilities at scale.
🎯 The Role
We’re hiring a
Senior Data Engineer
to own and scale Fanvue’s core data infrastructure.
This is a foundational, high-leverage role. You will be responsible for stabilising data ingestion, improving observability and governance, reducing manual toil, and enabling advanced analytics and machine learning workloads. Your work will directly underpin Fanvue’s ability to operate as a truly data-driven organisation.
🚀 What You’ll Do
👀 Who You Are
✨ You’ll Thrive Here If
You enjoy building reliable systems that other teams depend on
You care deeply about
data quality, trust, and production readiness
You like turning fragile pipelines into boring, predictable infrastructure
You are motivated by
leverage and long-term impact
, not quick hacks
You believe speed and reliability can and should coexist
⚠️ You’ll Struggle Here If
You prefer exploratory analytics over production-grade infrastructure
You are uncomfortable owning
critical systems end to end
You rely on manual fixes instead of automation and observability
You avoid accountability for reliability, data quality, or platform health
🌍 Why Join Fanvue?
Own and shape the
data foundation of a $100M+ ARR platform
Enable advanced analytics and machine learning across the business
High autonomy with clear ownership and impact
Work closely with Platform, Analytics, and Product leadership
Remote working
Flexible hours, according to when you perform best
Unlimited holiday
Budget for growth and wellbeing
A culture that values innovation, ownership, transparency, and speed
⭐ Fanvue is for Everyone
We know that diverse teams build better companies. Even if you do not meet every single requirement, we encourage you to apply. Many great people grow into parts of a role, and we value potential, mindset, and ambition just as much as experience.
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Own and stabilise end-to-end data ingestion pipelines, including CDC ingestion via
Amazon DMS
Resolve schema drift issues and automate column ingestion to eliminate manual re-syncs
Build production-grade
observability
for data pipelines, dbt runs, and Athena performance
Implement monitoring and alerting to proactively detect data quality or pipeline failures
Optimise
CI/CD workflows
for data transformations, reducing PR build times and deployment friction
Design and implement
reusable ingestion frameworks
for rapid onboarding of new data sources
Establish strong
data governance
practices, including dbt tests in production and scheduled full-refresh pipelines
Enable
advanced analytics and ML infrastructure
, including AWS SageMaker integration and ad-hoc analytics environments
Implement
fine-grained access controls (RBAC)
to protect PII and sensitive data as the company scales
Own
Infrastructure as Code
for the data platform using
AWS CDK
, ensuring data infrastructure is versioned, testable, and reproducible
Collaborate closely with Platform, Analytics, and Product teams to align data infrastructure with business needs
5+ years
of experience as a data engineer building
production-grade data pipelines
Deep hands-on experience with
AWS data services
such as S3, Athena, Glue, DMS, and CodePipeline
Strong
dbt expertise
, including deployment architecture, CI/CD integration, and performance optimisation
Proven experience implementing
data quality frameworks, observability, and governance
at scale
Solid
Infrastructure as Code mindset
, with experience using
AWS CDK
(TypeScript preferred). Terraform experience is acceptable if you are willing to adopt CDK
Comfortable designing
scalable data architectures
and reusable ingestion patterns
Strong ownership mindset, able to diagnose and resolve complex infrastructure issues independently
Confident collaborating across analytics, platform, and product teams to deliver shared outcomes