Job Search and Career Advice Platform

Enable job alerts via email!

Senior Data Engineer

Methodfi

Remote

GBP 60,000 - 80,000

Full time

Today
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A data-driven platform in Greater London is seeking a Senior Data Engineer to own and enhance its core data infrastructure. You will stabilize data ingestion pipelines, implement monitoring, and enable advanced analytics. The ideal candidate has over 5 years of experience with AWS data services, dbt, and Data Governance practices. Join us in shaping the foundation of a successful platform with remote flexibility, unlimited holidays, and a culture emphasizing innovation and ownership.

Benefits

Remote working
Flexible hours
Unlimited holiday
Budget for growth and wellbeing

Qualifications

  • 5+ years of experience in data engineering.
  • Strong hands-on experience with AWS data services.
  • Proven expertise in dbt and data pipeline automation.

Responsibilities

  • Stabilize end-to-end data ingestion pipelines.
  • Build observability for data pipelines.
  • Implement monitoring for data quality.

Skills

Data pipeline development
AWS data services expertise
dbt proficiency
Data governance knowledge
Infrastructure as Code mindset
Analytical collaboration

Tools

Amazon DMS
AWS CDK
Terraform
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.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.