Senior Analytics Engineer - Cyber Data Platform

Tesco PLC; Welwyn Garden City; Hybrid; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Annual bonus

Holiday + personal day

Private medical insurance

Maternity & adoption leave

Paternity leave

Virtual GP 24/7

EAP for family

Wellbeing support

Job summary

Tesco PLC is seeking a Senior Analytics Engineer to lead design and implementation of trusted, well‑documented data products that transform raw security data into actionable insights. You will partner with security and data teams to enable reporting, analytics, ML, GenAI and self‑serve analytics, while ensuring governance and data quality.

You’ll build and maintain data pipelines across raw, trusted and curated layers, design scalable data models, and drive engineering excellence with clear

Qualifications

• Strong passion for big data, data modelling, data quality and ETLs.
• Extensive experience with ETL/ELT frameworks and orchestration tools.
• Experience building robust data models on cloud platforms and implementing data quality controls.

Responsibilities

• Lead the implementation of data transformation pipelines across raw, trusted and curated layers.
• Design, build and manage logical and physical data models for threat detection, analysis and reporting.
• Develop high-quality data pipelines with documentation and peer reviews to raise coding standards.
• Implement automation to streamline deployment, testing, monitoring and management of data models and pipelines.
• Support AI-enabled analytics and self-service capabilities while enforcing governance and security controls.
• Develop dashboards and visualisations to deliver actionable insights for security and business stakeholders.

Skills

Python/PySpark

SQL

Airflow

dbt

Databricks on Azure

Tableau

Git

CI/CD

AI analytics

Data modelling

ETL/ELT

Self-service analytics

Security governance

Tools

Airflow

dbt

Git

Tableau

Databricks

Job description

As the Senior Analytics Engineer on the Cyber Analytics team, you will lead the design and implementation of trusted, well-documented and tested data products that transform raw security data into reliable, accessible and actionable insights. These foundations will enable reporting, advanced analytics, machine learning, GenAI and AI-powered analytics experiences to help security teams investigate, understand and respond to threats more effectively. Working closely with cross-functional security and data teams, you will ensure data is accurate, governed and fit for purpose, while helping to design and enable analytics agents that allow users to explore and self-serve security and business data. You will champion the responsible use of AI through appropriate oversight, security and governance, contribute to the analytics platform architecture, and mentor junior team members to deliver high-quality cybersecurity data products. 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 Data Integration and Transformation: Lead the implementation of data transformation pipelines and automated data quality frameworks, moving data across the raw, trusted and curated layers of the data platform to deliver reliable, scalable and trusted data products for security users. Data Modelling: Design, build and manage logical and physical data models that are discoverable, accessible and reliable to support various threat detection, analysis and reporting capabilities. Coding, Quality and Documentation: Drive engineering excellence by developing high-quality data pipelines and reusable solutions, producing clear documentation, conducting thorough peer reviews and proactively raising coding standards across the team through constructive feedback and knowledge sharing. Automation and Platform Engineering: Implement automation practices that streamline the deployment, testing, monitoring and management of data models, pipelines and data quality frameworks, improving reliability, scalability and operational efficiency. AI and Analytics Enablement: Support the design and adoption of analytics agents and conversational analytics capabilities that enable teams to explore and investigate security and business data using natural language, ensuring the responsible application of AI through appropriate governance, security controls and human oversight. Visualisation and Insight Delivery: Develop and maintain trusted dashboards and visualisations that transform complex security and business data into clear, actionable insights, enabling self-service analysis, decision-making and data storytelling. Collaboration and Communication: Partner with security, engineering and data teams to understand business needs, shape data product solutions and communicate complex data concepts effectively to audiences with varying levels of technical expertise. In addition to the above core accountabilities, I am also responsible for contributing to and supporting the recruitment, coaching and development of talent within the Cyber Analytics team.

• A strong passion for big data, data modelling, data quality and ETLs.
• Solid programming experience with Python/PySpark along with proficiency in SQL.
• Extensive experience working with ETL and ELT frameworks and orchestration tools such as Airflow and dbt.
• Experience building robust data models on cloud platforms such as Databricks on Azure and implementing automated data quality frameworks and related controls.
• Experience developing high-value dashboards and visualisations using BI tools such as Tableau, translating complex data into trusted insights that support self-service analytics, decision-making and storytelling.
• Good practical understanding of version control systems such as Git and CI/CD processes.
• Experience or an interest in building analytics agents, conversational analytics capabilities or other AI-powered self-service solutions that enable users to explore and investigate data using natural language.
• Understanding of responsible AI principles, including governance, security controls and appropriate human oversight.
• Ability to provide clear input, guidance and coaching to junior members of the team to achieve desired outcomes.
• Knowledge of cybersecurity principles and practices.

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.