About the role

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.

What is in it for you

We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. Click Here to find out more!

Annual bonus scheme of up to 20% of base salary.
Holiday starting at 25 days plus a personal day (plus Bank holidays).
Private medical insurance.
26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave.
Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing.

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

You will need

Operational skills relevant for this job:

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

About us

You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues.

At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support.

We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here  for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying.

When you join us in this role, you'll be employed by Tesco Stores Limited, the Tesco legal entity responsible for your employment.

Tesco

Analytics Engineering Manager - Cyber Data Intelligence Platform

About the Job

Requirements

Responsibilities

About the Company

Tesco

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