Data Platform Engineer
Job in
Milton Keynes, Buckinghamshire, MK10 0BX, England, UK
Listed on 2026-08-23
Listing for:
Thrive IT Systems
Full Time
position Listed on 2026-08-23
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Data Engineering, SRE/Site Reliability, AWS
Job Description & How to Apply Below
We have one open position of Senior Data Platform Engineer with one of our client based in Milton Keynes, UK. This is a permanent/fulltime position. Below is the full job description for your reference. Please share your application once you are interested
Role:Data Platform Engineer with Banking Domain
Location:
Milton Keynes, UK - Hybrid Work Mode: 12 Months Fix Term Employment & Permanent
Role Overview
We are looking for an experienced Data Platform Engineer with strong expertise in infrastructure, cloud platforms, containerization and real-time data streaming. The ideal candidate should have hands-on experience building, deploying and supporting scalable data platforms using Kafka, Kubernetes, Terraform, Amazon MSK and Amazon Kinesis.
Key Responsibilities- Design, build and maintain scalable data platform infrastructure across cloud environments.
- Manage and support Apache Kafka / Amazon MSK clusters, including configuration, monitoring, scaling and performance optimization.
- Work extensively with Amazon Kinesis and real-time data streaming platforms.
- Deploy and manage data platform components using Kubernetes.
- Develop and maintain infrastructure using Terraform / Infrastructure as Code (IaC).
- Manage platform reliability, availability, scalability and performance.
- Implement monitoring, alerting, logging and troubleshooting for streaming and infrastructure components.
- Work with Dev Ops, Data Engineering and Cloud teams to build reliable data-platform solutions.
- Troubleshoot issues related to Kafka brokers, topics, partitions, replication, consumer groups and streaming pipelines.
- Implement security, access control and best practices across cloud and data-platform infrastructure.
- Automate platform provisioning, deployment and operational processes.
- Hands-on experience with Apache Kafka.
- Strong experience with Amazon MSK (Managed Streaming for Apache Kafka).
- Good experience with Amazon Kinesis / Kinesis Data Streams.
- Strong Terraform / Infrastructure as Code experience.
- Good understanding of AWS infrastructure and cloud services.
- Experience with real-time data streaming and distributed systems.
- Strong knowledge of monitoring, troubleshooting and performance optimisation.
- Experience working in production-scale environments.
- AWS certifications.
- Experience with Docker and CI/CD.
- Experience with Prometheus, Grafana, Cloud Watch or similar monitoring tools.
- Experience with Helm and Kubernetes operators.
- Experience with Python, Java or Shell scripting.
- Knowledge of networking, security, IAM and Linux administration.
- Experience with data lake/data platform architecture.
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