Senior Data Engineer

London, ENG, GB, United Kingdom

Job Description

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


------------------

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

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 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'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.

Beware of fraud agents! do not pay money to get a job

MNCJobs.co.uk will not be responsible for any payment made to a third-party. All Terms of Use are applicable.


Related Jobs

Job Detail

  • Job Id
    JD4580591
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Full Time
  • Job Location
    London, ENG, GB, United Kingdom
  • Education
    Not mentioned