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 RoleWe’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 DoOwn 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
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 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
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
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.
Top Skills
fanvue London, England Office
London, United Kingdom



