Senior AWS Data Engineer
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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
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 • 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
Benefits
• 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.