Analytics Engineering Manager – Cyber Data Intelligence Platform – Welwyn Garden City, United Kingdom of Great Britain and Northern Ireland

Overview

As Analytics Engineering Manager, you lead a team delivering security data products that enable operations, analytics, ML and Gen AI in a data-centric security function. You shape technical direction and promote AI-enabled, conversational analytics to make security data accessible beyond SQL. You will drive data model governance and high-quality data products that support AI use cases and trusted analysis. This role combines people leadership with hands-on data engineering to scale security data capabilities across Tesco.

Pay / Benefits

• Annual bonus up to 20%
• Holiday starts at 25 days + personal day
• Private medical insurance
• 26 weeks maternity/adoption leave
• 6 weeks fully paid paternity leave
• 24/7 virtual GP and mental wellbeing support

Responsibilities

• Lead the analytics engineering team to deliver high-quality security data products
• Transform and model raw data into standardized schemas per Open Cybersecurity Schema Framework
• Collaborate with security analysts and data owners to explore data, identify patterns and insights
• Maintain data quality across the security lake (silver, gold, reporting layers) and manage data catalog, lineage, and data dictionary
• Enable AI-enabled and conversational analytics for natural language data exploration and storytelling
• Design AI-ready data products and semantic models with governance, access controls and trusted context
• Contribute to recruitment and talent development for the cyber data team
• Provide reporting to cyber security leadership and manage service providers and cross-team collaboration

Key requirements

• Engineering or BI Manager experience leading data projects at scale
• Solid data warehousing, data modelling and architecture knowledge
• Highly proficient in SQL; strong Python skills
• Experience with cloud platforms (Azure, GCP) and big data (Spark)
• ETL/ELT tools and dbt experience
• Familiarity with AI/GenAI capabilities for analytics and data exploration
• Experience with AI platforms/tools (Databricks Genie, AI Agents, OpenAI, Claude) and prompt engineering
• Understanding of governance, documented data products for AI consumption
• Version control and CI/CD knowledge
• Talent development and stakeholder management experience
• Knowledge of cybersecurity principles

• Strong written and verbal communication
• Presentation skills
• Collaborative mindset
• SQL
• Python
• Azure or GCP

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