Senior Data Engineer
Fanvue
8 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Remote
Tech stack
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
Continuous Integration
Data as a Services
Data Governance
Machine Learning
Data Ingestion
Core Data
Data Pipelines
Job description
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, * 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
Requirements
- 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
About the company
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.