Cyber Security Engineer

Square One Resources Limited
Sheffield, United Kingdom
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 130K

Job location

Sheffield, United Kingdom

Tech stack

Business Analytics Applications
Data analysis
Apache HTTP Server
Azure
Bash
Cloud Computing
Cloud Database
Computer Security
Computer Programming
Data Cleansing
Information Engineering
Data Integration
ETL
Data Security
Data Warehousing
Linux
DevOps
Elasticsearch
Github
Python
Nginx
Open Web Application Security
Powershell
Red Hat Enterprise Linux - RHEL
Reliability Engineering
Azure
Cloud Services
Prometheus
Kusto Query Language
Standard Sql
Azure
Security Information and Event Management
Data Streaming
Data Ingestion
Azure
System Availability
Grafana
Data Lake
Kubernetes
Infrastructure Automation Frameworks
Data Analytics
Kafka
Cosmos DB
Data Management
Cloud Optimization
Terraform
Stream Processing
Data Pipelines
Serverless Computing
Databricks

Job description

We are seeking an experienced Lead Cybersecurity Engineer to join a global Cybersecurity Science & Analytics team responsible for developing next-generation cybersecurity and data analytics capabilities.

This is an excellent opportunity for a hands-on engineer with expertise in Azure Cloud, Data Engineering, Platform Engineering and DevOps to help build and maintain large-scale cloud data platforms that support advanced cybersecurity analytics.

Working within a collaborative team of cybersecurity specialists, data engineers and cloud professionals, you will design, develop and optimise secure data pipelines, cloud infrastructure and analytics platforms using modern cloud-native technologies., * Design, develop and maintain scalable Azure-based data pipelines.

  • Build and optimise ETL processes for large-scale cybersecurity datasets.
  • Develop automated data ingestion and provisioning solutions.
  • Engineer cloud infrastructure following Site Reliability Engineering (SRE) principles.
  • Support production environments, platform operations and continuous improvements.
  • Build Infrastructure as Code using Terraform and automation tooling.
  • Develop solutions using Azure services including Data Factory, Databricks and Data Lake.
  • Improve platform reliability, scalability, security and cloud cost optimisation.
  • Work closely with engineering teams to onboard new enterprise data sources.
  • Contribute to CI/CD pipelines and DevOps best practices.

Requirements

We're looking for candidates with experience across several of the following technologies: Cloud & Infrastructure

  • Microsoft Azure
  • Azure Active Directory (Azure AD)
  • Azure Data Factory
  • Azure Databricks
  • Azure Data Lake
  • Azure Storage
  • Azure Functions
  • Azure Monitor
  • Azure Logic Apps
  • Kubernetes
  • Azure DevOps

Programming & Automation

  • Python
  • PowerShell
  • Bash
  • Terraform
  • SQL
  • Kusto Query Language (KQL)
  • GitHub
  • CI/CD Pipelines

Data Engineering

  • ETL Pipeline Development
  • Data Integration
  • Data Modelling
  • Data Warehousing
  • Cloud Data Pipelines
  • Data Cleansing & Transformation
  • Real Time Data Processing

Infrastructure & Platforms

  • Linux (Red Hat preferred)
  • Apache/Nginx
  • Elasticsearch
  • Grafana
  • Prometheus
  • Cosmos DB
  • Kafka or Azure Event Hubs

Desirable Experience

  • SIEM or SOAR platforms
  • Cybersecurity Analytics
  • Azure Security
  • Financial Services or other highly regulated environments
  • Knowledge of cybersecurity frameworks such as NIST, ISO 27001, CIS or OWASP

About You

You'll be an experienced Cloud, Platform or Data Engineer who enjoys solving complex technical challenges and continuously learning new technologies.

You'll have experience designing cloud-native solutions, automating infrastructure and building reliable, scalable data platforms while working within agile engineering teams.

Previous experience in cybersecurity is advantageous but not essential.

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