Thrive IT Systems
Data Platform Engineer
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Senior Data Platform Engineer
We have one open position of Senior Data Platform Engineer with one of our clients based in Milton Keynes, UK. This is a permanent/full-time position. Below is the full job description for your reference. Please share your application once you are interested.
Role: Data Platform Engineer
Location: Milton Keynes, UK – Hybrid
Work Mode: 12 Months Fixed 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 DevOps, 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.
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Mandatory Skills
- Strong experience as a Data Platform Engineer / Data Infrastructure Engineer / Platform Engineer.
- 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 Kubernetes experience.
- 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 optimization.
- Experience working in production-scale environments.
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Good to Have
- AWS certifications.
- Experience with Docker and CI/CD.
- Experience with Prometheus, Grafana, CloudWatch, 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.
Key Focus
Infrastructure + Kafka + Kubernetes + Terraform OR Amazon MSK + Amazon Kinesis + Real-Time Streaming
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