Data Engineer

mthree is looking for a Cyber Data Engineer for one of the largest banking and financial services organisations. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

A successful applicant will contribute to several important initiatives include:

• Onboarding new data sources with appropriate field extractions
• Developing automation tools that integrate with in-house developed configuration management frameworks and APIs
• Providing consultancy to internal clients and stakeholders
• Identifying and implementing tuning to improve performance
• Working as a top-level escalation point to perform complex troubleshoots, working with other infrastructure teams to resolve issues

• Infrastructure automation and integration knowledge, ideally using Python and Ansible or Terraform
• A solid understanding of Operating Systems and Networking concepts:
  Linux/Unix system administration, HTTP and encryption.
• Good understanding of software version control, deployment & build tools using Dev Ops SDLC practices (Git, Jenkins, Jira)
• Strong analytical and troubleshooting skills
• Appreciation of Agile methodologies, specifically Kanban

• Prior experience deploying and managing large-scale data analytics platforms – Elasticsearch or Splunk
• Experience with data pipelines on a major Cloud Service Provider like GCP, Azure or AWS
• Administrator or architect level certifications in Splunk or Elasticsearch
• Data engineering and configuration experience inc. writing and testing field extractions using regular expressions
• Familiarity with cybersecurity concepts, event types, and monitoring requirements.