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 role with high leverage across the business. You’ll 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
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 catch data quality or pipeline issues
Optimise CI/CD workflows for data transformations, reducing PR build times and deployment friction
Design and implement reusable ingestion frameworks for onboarding new data sources quickly
Establish strong data governance practices, including dbt tests in production and scheduled full-refresh pipelines
Enable advanced analytics infrastructure, including AWS SageMaker integration and ad-hoc analytics environments
Implement fine-grained access controls to secure PII and sensitive data as the company scales
Collaborate closely with Platform, Analytics, and Product teams to align infrastructure with business needs
👀 Who You Are
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
Experience implementing data quality frameworks, observability, and governance at scale
Comfortable designing scalable data architectures and reusable ingestion patterns
Strong ownership mindset with the ability to diagnose and resolve complex infrastructure issues independently
Confident collaborating across analytics, platform, and product teams to deliver shared outcomes
✨ 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’re motivated by leverage and long-term impact rather than quick wins
⚠️ You’ll Struggle Here If
You prefer exploratory analytics over production-grade infrastructure
You’re uncomfortable owning critical systems end to end
You rely on manual processes rather than automation and observability
You avoid accountability for reliability and data quality
🌍 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 believe diverse teams build better companies. Even if you do not meet every single requirement listed, 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.
