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Staff Data Platform Engineer
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Staff Data Platform Engineer
London, United Kingdom — Hybrid
FinTech Infrastructure | Data Platforms | Real-Time Analytics | Distributed Systems
Our client, a rapidly growing FinTech Infrastructure company based in London, is looking for a Staff Data Platform Engineer to define the architecture of its next-generation data platform.
This is a senior individual contributor role where you'll lead the technical direction of the company's streaming and analytics platform while remaining hands-on with design, engineering, and implementation.
What You'll Be Working On
- Defining the technical vision and architecture for the company's enterprise data platform
- Designing large-scale streaming and batch processing systems handling billions of financial events
- Building high-performance data pipelines using Kafka, Spark, and Flink
- Developing Python services and automation supporting data ingestion, transformation, and orchestration
- Optimizing Snowflake for high-performance analytics, reporting, and machine learning workloads
- Working closely with AI and Product teams to deliver trusted, real-time data for intelligent financial products
- Improving platform scalability, resilience, observability, and operational efficiency
- Establishing engineering standards, architectural best practices, and long-term technical direction for the data platform
- Mentoring senior engineers and leading technical design discussions across multiple engineering teams
- Helping shape the future of one of Europe's fastest-growing financial technology platforms
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Experience Required
- 8+ years of experience in Data Engineering, Data Platform Engineering, Big Data Infrastructure, or Distributed Systems Engineering
- Extensive commercial experience with Apache Kafka in production environments
- Strong experience building distributed data processing systems using Apache Spark and Apache Flink
- Excellent Python development skills
- Experience designing modern cloud-native data platforms using Snowflake or comparable cloud data warehouses
- Strong understanding of distributed systems, streaming architectures, and event-driven platforms
- Experience leading technical architecture and influencing engineering strategy without direct people management
- Passion for solving complex scalability and performance challenges through elegant engineering solutions
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Nice to Have
- Experience building real-time fraud detection, payment processing, or financial analytics platforms
- Knowledge of Data Mesh, Lakehouse architectures, or Apache Iceberg
- Experience with Infrastructure as Code using Terraform
- OpenTelemetry, Prometheus, Grafana, or modern observability platforms
- Experience supporting AI or machine learning workloads on large-scale data platforms
- Previous Staff, Principal, or Lead Engineer experience within FinTech, Enterprise SaaS, or cloud-native technology companies
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