At a Glance
- Tasks: Design and maintain scalable data platforms using cutting-edge technologies like Kafka and Kubernetes.
- Company: Join a leading banking client in Milton Keynes with a hybrid work culture.
- Benefits: Enjoy a permanent role with competitive salary and opportunities for professional growth.
- Other info: Collaborate with diverse teams in a dynamic environment focused on real-time data.
- Why this job: Make an impact in the banking sector by working on innovative data solutions.
- Qualifications: Experience with Apache Kafka, AWS, and Terraform is essential.
The predicted salary is between 63000 - 77000 £ per year.
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
- 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 (Ia C).
- 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.
- Mandatory Skills
- 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.
- Good to Have
- 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.
- Key Focus
- #J-18808-Ljbffr
Data Platform Engineer employer: Thrive IT Systems
Thrive IT Systems is an exceptional employer that fosters a collaborative and innovative work culture, where your contributions directly impact the development of cutting-edge software solutions. Located in the vibrant tech hub of the United Kingdom, we offer competitive benefits, continuous learning opportunities, and a supportive environment that encourages professional growth and creativity, making it an ideal place for passionate Software Engineers to thrive.
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We think you need these skills to ace Data Platform Engineer
Some tips for your application 🫡
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