Lead Data Visualization Software Engineer

Bright Purple Resourcing Ltd
Edinburgh, United Kingdom
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 95K

Job location

Remote
Edinburgh, United Kingdom

Tech stack

JavaScript
Amazon Web Services (AWS)
CSS
Cloud Computing
Computer Security
Data Manipulation Languages
Data Visualization
Linux
Python
Network Security
Machine Learning
Network Protocols
Online Service Provider
SQL Databases
Grafana
Kubernetes
Information Technology
Ddos
Splunk

Job description

  • Leading a small, highly skilled team focused on network & security analytics
  • Designing and building advanced Grafana dashboards running in Kubernetes
  • Turning complex data into clear, insightful visualisations
  • Developing and reviewing complex queries (Grafana, Splunk, Python)
  • Mentoring engineers and shaping technical best practice
  • Balancing hands-on development with technical leadership and ownership

Technologies:

  • AWS
  • Grafana
  • Kubernetes
  • Linux
  • Machine Learning
  • Network
  • Python
  • SQL
  • Security
  • Splunk
  • Cloud
  • CSS
  • JavaScript

More:

We are a high-growth cyber security technology company dedicated to protecting some of the worlds most critical online services from large-scale DDoS and application attacks. Our software is essential for keeping entire businesses online. We offer hybrid working for our Edinburgh-based engineers (typically 2 days in the office) and fully remote options for the right candidate. Join us to work with cutting-edge tech, tackle complex data, and solve meaningful problems in a culture that values ownership, curiosity, and smart engineering.

Requirements

  • Strong experience building dashboards and analytics in Grafana
  • Proven background leading engineers in an agile environment
  • Solid understanding of Linux and AWS
  • Excellent communication skills to explain complex ideas simply
  • A strong technical degree (Computer Science, Maths, Statistics, Engineering, or similar)
  • Knowledge of networking protocols and how the internet actually works (Nice to Have)
  • Experience with Splunk & SPL (Nice to Have)
  • SQL or similar data manipulation skills (Nice to Have)
  • Exposure to network security products (Nice to Have)
  • Data Science or Machine Learning experience (Nice to Have)

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