Job Description
Data Platform Engineer London
(AWS, Apache Spark, AWS Glue, Iceberg, S3, RDS, Redshift, Kafka/MSK, Python, Terraform, Ansible, CI/CD, Jenkins, GitLab, Snowflake, Databricks)
Working with an established FinTech 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 that values engineering best practises! This client Is offering this role on hybrid basis, looking to be in the office few times per month.
For more information, please get in touch.
