Data Platform Engineer

Data Platform Engineer London

(AWS, Apache Spark, AWS Glue, Iceberg, S3, RDS, Redshift, Kafka/MSK, Python, Terraform, Ansible, CI/CD, Jenkins, Git Lab, Snowflake, Databricks)

Working with an established Fin Tech client in London who is looking for a Data Platform Engineer to play a key role in defining, building, and evolving their enterprise Data Lakehouse platform during an exciting period of growth. You'll work closely with Platform Engineering and Application Engineering teams, taking ownership of the infrastructure, patterns, standards, and tooling used to build and operate data products across the business.

The role focuses on ensuring the data platform is resilient, secure, reliable, and cost-effective within an AWS environment. You'll be responsible for how the platform is operated, maintained, monitored, and extended, with a strong emphasis on observability, fault prevention, and early fault detection across AWS data services.

Automation is central to the way this team works. You'll design and maintain Infrastructure as Code and Configuration as Code solutions, supported by CI/CD pipelines, to ensure consistent, repeatable deployments and strong governance. You'll also enhance data lake integration testing, security measures, monitoring, SLAs, and operational metrics.

Working for a tech‑driven organisation in a collaborative environment, for an organisation that values engineering best practices! This client is offering this role on hybrid basis, looking to be in the office a few times per month.

For more information, please get in touch.