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# Analytics Engineering Manager - Cyber Data Intelligence Platform

- **Company:** Tesco PLC
- **Location:** Hertfordshire, UK
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Data Analysis, Microsoft Azure, Big Data, Cyber Security, Data Architecture, Data Dictionary, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Data Intelligence, Python (Programming Language), Machine Learning, Metadata, OpenAI, Standard Sql, SQL Databases, Wireless Networks, Large Language Models, Prompt Engineering, Apache Spark, Model Validation, Generative AI, Agentic-AI, AI Platforms, Data Analytics, Claude, Text Summarization, Software Version Control, Databricks, Programming Languages
- **Published:** October 9, 2026
- **Apply:** https://www.careerjet.co.uk/job/gba0580b832bfc7609faadca6b42eb4536/eaa

## About the Role

Strong written, verbal and presentation skills
Strong analytical skills, with the ability to correlate and identify trends, patterns, and outlier within large security datasets and telemetry
Ability to work with and evaluate AI-assisted analytics and conversational data tools.
Understanding of prompt engineering and effective use of foundation models such as OpenAI and Claude for analytics use cases.
Experience with collaborative development methods such as mob or ensemble programming
Experience relevant for this job:
Relevant experience as an Engineering or BI Manager, leading teams and managing data projects at scale
Solid experience with data warehousing principles, data modelling and data architecture
Highly proficient in SQL with solid experience with programming languages like Python
Experience working with cloud platforms (e.g., Azure, GCP) and big data technologies like Spark
Working knowledge of ETL and ELT frameworks and tools like dbt
Experience using AI/GenAI capabilities to support analytics, data exploration or insight generation.
Familiarity with AI platforms and tools such as Databricks Genie, AI Agents, OpenAI or Claude, with an understanding of prompts, model evaluation.
Understanding of how to design trusted, governed and well-documented data products that can be consumed by AI applications.
Working knowledge of Version Control and CI/CD pipelines
Hiring, developing, and retaining cyber analytics talent
Ability to provide clear input, guide, empower the team to achieve desired outcomes
Developing working relationships with various teams and stakeholders at all levels of seniority to drive data driven decisions and enable end users to make informed decisions through data and AI
Knowledge of cybersecurity principles and practices

## Description

As the Analytics Engineering Manager in the cyber data team, you will play a crucial role in the development, management, and optimisation of security data products. You will lead technical decisions and be responsible for a team of analytics engineers to ensure the delivery of high-quality data products needed for security teams operations, analytics, machine learning and Gen AI applications.
The Analytics Engineering team plays a direct role in the success of the Cyber Data Intelligence team and is a key driver in promoting a data-centric culture within the security function. You will also help shape how AI and conversational analytics are used to make security data more accessible, enabling users to explore data, generate insights and answer questions using natural language rather than relying solely on traditional SQL, reports and dashboards., The above information is a shortened summary, refer to our policies for full details
You will be responsible for
Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities:
Data Transformation and Modelling: Transforming raw data into various data models by cleaning, normalising, standardising, filtering, aggregating, and formatting the data adhering to Open Cybersecurity Schema Framework standards.
Data Analysis: Support a variety of data analysis, involving the exploration and analysis of source, trusted, and curated security data to identify patterns, trends, and insights in collaboration with security analysts.
Data Quality and Documentations: Maintaining the data quality across the security lake (silver, gold and reporting layers) by implementing various validation and quality measures. Collaborate with source data owners, security analysts, and engineers to manage the data catalog, lineage, data dictionary, and data transformation processes.
AI-enabled and Conversational Analytics: Enable security teams to interact with and analyse data using natural language and AI, reducing the reliance on writing SQL or building traditional reports and to support data exploration, insight generation, summarisation and storytelling.
AI-ready Data Products: Ensure data products, semantic models and metadata are designed to support AI and GenAI use cases, with appropriate governance, access controls, quality and trusted context to enable reliable AI-driven analytics.
In addition to the above core accountabilities, I am also responsible for,
Contributing to and supporting the ongoing recruitment and talent development process for cyber data team at Tesco
Providing reporting and insight to key stakeholders, including the cyber security leadership team
The management of service providers and teams I work with inside and outside of Tesco
Key people and teams I work within and outside of Tesco:
People, budgets, and other resources I am accountable for in my job:
Members of the cyber data platform team (Heads, Managers, Product Managers, Data Platform Engineers, Analytics Engineers, Machine Learning Engineers and Software Engineers)
Members of the broader security team (Heads, Product Managers, Security Managers, Security Engineers, Security Testers, Security Analysts and Risk & Compliance team members)
Security Stakeholders across Tesco
3rd Parties/Vendors
Line management of analytics engineers in my team
Cyber analytics engineering budget
Representing cyber data products to senior stakeholders