Cyber Data Engineer

JR United Kingdom; Kingston upon Hull; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company is seeking a Cyber Data Engineer to join their global team. This role involves delivering security analytics platforms and requires strong skills in cloud integration and data analytics. Successful candidates will work closely with cybersecurity teams to enhance and maintain their systems.

Qualifications

• Experience deploying and managing large-scale data analytics platforms.
• Skills in cloud integration with major providers (GCP, Azure, AWS).
• Strong understanding of Linux/Unix administration.

Responsibilities

• Onboard new data sources with appropriate field extractions.
• Develop automation tools integrating with existing frameworks.
• Serve as an escalation point for complex troubleshooting.

Skills

Cloud integration

Data analytics platforms

Infrastructure automation

Analytical skills

Troubleshooting

Agile methodologies

Tools

ElasticSearch

Splunk

Python

Ansible

Git

Jira

Job description

Social network you want to login/join with:

Cyber Data Engineer, kingston upon hull, east yorkshire

col-narrow-left

Client:

mthree

Location:

kingston upon hull, east yorkshire, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

1

Posted:

04.06.2025

Expiry Date:

19.07.2025

col-wide

Job Description:

A great opportunity for a Cyber Data Engineer to be part of global team, responsible for delivering security analytics platforms for leading investment bank.

Their key stakeholders are cyber teams including security response, investigations and insider threat and will help maintain their platforms.

Role Profile

• 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

Required Skills

• Prior experience deploying and managing large-scale data analytics platforms – ElasticSearch (preferred) or Splunk
• Experience with Cloud integration with a major Cloud Service Provider like GCP, Azure or AWS
• Infrastructure automation and integration experience, ideally using Python and Ansible
• 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 DevOps SDLC practices (Git, Jenkins, Jira)
• Strong analytical and troubleshooting skills
• Appreciation of Agile methodologies, specifically Kanban

Desired Skills

• 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.