Senior Data Infrastructure Engineer

Fanalysis; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A data-driven sports analytics company in London seeks a Senior Data Infrastructure Engineer to lead the AWS data architecture supporting real-time analytics. In this role, you will design scalable infrastructure solutions, ensure uptime for data delivery, and manage automation processes. Ideal candidates possess 5+ years of AWS infrastructure experience, a strong background in data processing, and a collaborative mindset. This full-time role is based in Soho, requiring office attendance at least three days a week.

Qualifications

• 5+ years of AWS infrastructure experience in data-heavy environments.
• Experience with streaming technologies and distributed processing frameworks.
• Strong background in data pipeline orchestration and automation.

Responsibilities

• Own AWS data infrastructure and evolve serverless architecture.
• Design and build solutions for scaling user data processing.
• Ensure 99.9%+ uptime for data delivery within strict SLAs.

Skills

AWS infrastructure experience

Real-time data processing

DevOps practices

Infrastructure as Code

Problem-solving skills

Collaborative mindset

Tools

Kafka

AWS EMR

MongoDB

Job description

Senior Data Infrastructure Engineer at Fanalysis - powered by passion

We’re building the go-to app for real football fans - a central home where trusted and passionate supporters can share their voices, insights, and emotions with clarity, cutting through punditry and the noise of fragmented social media

Founded by Michael McIntyre and Gary Neville, we’re already partnering with Sky Sports to amplify the perspectives of those who live and breathe the game, bringing authentic fan opinion to millions of viewers.

Having closed our seed round with personal backing from some of the world’s most exceptional venture investors, we’re now focused on building the team, app, and data platform that will power Fanalysis.

This is a thrilling opportunity to join founding team and play a pivotal role in shaping the future of fan-powered football media.

About the role

As Senior Data Infrastructure Engineer at Fanalysis, you'll own and evolve the AWS data infrastructure that powers our real-time sports analytics. You'll own the serverless architecture that intelligently polls live match data, moves data between services, and supports delivering insights to broadcast partners within strict SLA requirements. Your work will be critical as we scale from hundreds to millions of users, maintain sub-10 minute data delivery to Sky Sports, expand our data product offering, and onboard international broadcast partners.

Responsibilities

• You’ll own our AWS data infra. Currently, this is lambda pipelines in and out of S3, orchestrated with step functions, and deployed in CDK
• You’ll own and evolve our orchestration strategy, which adapts frequency based on match schedules. You’ll own the pipelines that handle Opta Sports API, backend sync, and warehouse integration
• Ultimately, you’ll design and build infrastructure solutions for scaling the processing of millions of users’ data at sub-5 minute latency. As our roadmap develops, this will mean streaming solutions for real-time analytics at scale, or large-scale processing of text data from user reviews and community discussions
• You’ll be essential for ensuring our 99.9%+ uptime for broadcast partner data delivery, within sub-10 minute SLAs
• You’ll build comprehensive monitoring, alerting, and observability systems across all data pipelines
• You’ll manage multi-environment deployments with CI/CD
• You’ll set our standards: Infrastructure as Code using AWS CDK, automated deployment processes, and wide test coverage
• You’ll collaborate on data architecture decisions and technical roadmap planning
• You’ll contribute to data governance, security, and compliance frameworks for international expansion

About You

We know that great talent comes in many forms; if you’re excited about this role but don’t tick every single box, we’d still love to hear from you.

• 5+ years of AWS infrastructure experience in data-heavy, high-scale environments, including serverless architectures
• Strong background in real-time data processing or high-frequency batch pipelines
• Strong background in DevOps practices, CI/CD pipelines, and automated testing
• Experience scaling infrastructure 10x+ in startup or high-growth environments
• Experience with data pipeline orchestration, ETL/ELT processes, and data integration patterns
• Experience with streaming technologies (Kafka, Kinesis) and/or distributed processing frameworks (Apache Spark, AWS EMR)
• Experience with monitoring and observability tools, alerting systems, and SLA management
• Deep understanding of our current AWS services: Lambda, Step Functions, S3, IAM, CloudWatch
• Proficiency in Infrastructure as Code (AWS CDK)
• Knowledge of database systems (MongoDB is a plus) and data warehouses
• Knowledge of security best practices, IAM policies, and data governance
• Strong problem-solving skills and attention to detail for mission-critical systems
• Collaborative mindset for working with data scientists and engineers
• Comfort with startup pace and ability to balance technical excellence with rapid delivery
• Sports data, real-time analytics, or data-as-a-product background is a plus
• Understanding of data compliance requirements and international data regulations is a plus

This is a full-time role based in London. Our is in Soho and we believe in the benefits of working together, so ideally you'd be able to join us in the office at least 3 days a week.