Senior Data Engineer

Fanvue; Remote; GBP 60,000 - 90,000; Full time

Job summary

A leading creator monetisation platform is seeking a Senior Data Engineer to enhance and maintain its core data infrastructure. The position involves ensuring data pipeline reliability and implementing data governance practices, coupled with a strong focus on AWS technologies and observability. The ideal candidate should have over five years of experience with data systems, showcasing an ownership mindset and excellent collaboration skills. This role permits remote working and offers flexible hours and unlimited holiday.

Benefits

Unlimited holiday

Flexible working hours

Budget for growth and wellbeing

Qualifications

• 5+ years of experience as a data engineer building production-grade data pipelines.
• Deep hands-on experience with AWS data services like S3, Athena, Glue, DMS, and CodePipeline.
• Strong dbt expertise, including deployment architecture, CI/CD integration, and performance optimisation.

Responsibilities

• 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.

Skills

Production-grade data pipelines

AWS data services

dbt expertise

Data quality frameworks

Infrastructure as Code Mindset

Scalable data architectures

Collaboration skills

Tools

AWS CDK

Terraform

Amazon DMS

AWS SageMaker

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

• 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

• 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 observabilityYou 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.