Security Data Engineer: AI Dashboards & Automation

Codextra Labs; Lahore; On-site; PKR 1,200,000 - 2,400,000; Full time

Job summary

Codextra Labs in Lahore is seeking a hands-on Corporate Security Technology & Data Engineer to build dashboards, automate workflows, and improve data quality. You’ll connect systems via APIs, leverage AI/LLM tools, and collaborate with security leadership to deliver practical technical solutions.

Ideal candidates have 2+ years in AI/LLM tools, data governance awareness, and strong scripting skills in Python/JavaScript/SQL.

Qualifications

• 2+ years of hands-on experience with AI/LLM tools and automation.
• Experience building dashboards, analytics, or reporting systems.
• Strong experience with APIs, databases, scripting, and system integrations.
• Comfortable with SQL, Python, JavaScript, and low-code/no-code platforms.
• Strong communication and stakeholder-management skills.
• Ability to work directly with security teams and leadership.

Responsibilities

• Build dashboards, reporting, and operational metrics for Corporate Security.
• Connect systems and automate workflows using APIs, Python, JavaScript, SQL, and automation platforms.
• Use ChatGPT, Codex, and LLM-based agents to improve internal workflows.
• Identify fragmented or poor-quality data and build cleaner, more reliable data pipelines.
• Partner with security teams and leadership to translate business needs into technical solutions.
• Establish data standards, governance, and access controls for sensitive operational data.

Skills

AI/LLM tools

Dashboard development

APIs

Python

JavaScript

SQL

Low-code/no-code

Stakeholder management

Data governance

Security operations

Tools

Airtable

Ontic

Jira

Asana

Google Workspace

Slack

Job description

Codextra Labs in Lahore is seeking a hands-on Corporate Security Technology & Data Engineer to build dashboards, automate workflows, and improve data quality. You’ll connect systems via APIs, leverage AI/LLM tools, and collaborate with security leadership to deliver practical technical solutions.

Ideal candidates have 2+ years in AI/LLM tools, data governance awareness, and strong scripting skills in Python/JavaScript/SQL.