Staff Analytics Engineer: Cybersecurity Data & AI Platform

Tesco

Welwyn Garden City

Hybrid

GBP 90,000 - 130,000

Full time

7 days ago
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Job summary

Tesco is seeking a Staff Analytics Engineer for Cyber Analytics to set the technical direction for cybersecurity data products, ensuring they are trusted, scalable and impactful. You will lead analytics architecture, data modelling, DataOps and governance, partnering with security, platforms and engineering teams to deliver high-value data solutions with AI-powered insights.

This role offers hybrid work across Tesco locations, including Welwyn Garden City, with emphasis on mentorship and

Qualifications

  • Strong passion for data engineering, data modelling and building trusted, scalable data products.
  • Proven experience leading the design and delivery of enterprise-scale data products, defining technical strategy, architectural patterns and engineering standards while providing technical leadership across teams.
  • Expert programming experience with Python/PySpark and advanced proficiency in SQL for large-scale data transformation, optimisation and analytics workloads.
  • Extensive experience designing and implementing scalable data solutions on cloud platforms such as Databricks on Azure, including data lakehouse architectures, data modelling frameworks and data quality controls.
  • Deep understanding of analytics architecture, data modelling methodologies, semantic layer design, and approaches for delivering discoverable, governed and reusable data products.
  • Expertise in ETL and ELT frameworks for large-scale batch and near real-time processing, with hands-on experience using orchestration and transformation technologies such as Airflow and dbt.
  • Strong knowledge of software engineering best practices, including coding standards, code reviews, testing strategies, version control systems such as Git, and CI/CD processes.
  • Experience driving automation and DataOps practices that improve deployment, monitoring, reliability and operational efficiency of data products.
  • Experience developing dashboards, visualisations and self-service analytics capabilities using tools such as Tableau, enabling users to derive actionable insights from complex datasets.
  • Experience shaping or implementing analytics agents, conversational analytics capabilities, semantic layers or other AI-powered analytics solutions that enable users to explore and investigate data through natural language.
  • Understanding of responsible AI principles, including governance, security controls, evaluation frameworks and appropriate human oversight.
  • Strong leadership, mentoring and coaching skills, with the ability to develop Analytics Engineers, raise engineering standards and build high-performing teams.
  • Ability to influence stakeholders and communicate complex technical concepts, architectural decisions and data strategies to both technical and non-technical audiences.
  • Knowledge of cybersecurity principles, security operations and threat detection use cases, with experience applying data and analytics solutions to support cybersecurity outcomes.
  • Strong communication skills, both written and verbal to effectively engage with team and individuals involved in the project.
  • Strong analytical abilities, attention to detail and ability to empower users with self-service capabilities through the analytics platform.
  • Experience with collaborative development methods such as mob or ensemble programming.

Responsibilities

  • Set the technical direction for cybersecurity data products, ensuring they are trusted, scalable and impactful.
  • Drive data modelling standards, analytics architecture and engineering best practices.
  • Partner with security, platform and engineering teams to shape long-term strategy and data governance.
  • Define and drive the analytics architecture for reporting, ML, GenAI and AI-powered analytics at scale.
  • Establish data integration, transformation and quality approaches across data layers.
  • Define data modelling standards and semantic layer design.
  • Champion engineering excellence: coding standards, testing, reviews and documentation.
  • Lead Automation and DataOps practices for deployment, monitoring and reliability.
  • Shape strategy for analytics agents and conversational analytics with governance and oversight.
  • Establish data governance, security and compliance standards.
  • Collaborate with stakeholders to align roadmaps and communicate technical concepts.
  • Support recruitment, coaching and development of Analytics Engineers.

Skills

Python/PySpark
SQL
Databricks on Azure
Airflow
dbt
Data modelling
Data governance
Leadership
Security analytics
Self-service analytics
Tableau
Machine learning / AI analytics

Tools

Databricks on Azure
Airflow
dbt
Tableau

Job description

Tesco is seeking a Staff Analytics Engineer for Cyber Analytics to set the technical direction for cybersecurity data products, ensuring they are trusted, scalable and impactful. You will lead analytics architecture, data modelling, DataOps and governance, partnering with security, platforms and engineering teams to deliver high-value data solutions with AI-powered insights.

This role offers hybrid work across Tesco locations, including Welwyn Garden City, with emphasis on mentorship and

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