Senior Cyber Analytics Engineer: Data Platform & AI

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

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