Staff Analytics Engineer: Cyber Analytics Leader

Tesco PLC

Welwyn Garden City

Hybrid

GBP 110,000 - 140,000

Full time

5 days ago
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Benefits offered by this job

Annual bonus
Holiday 25 days + personal day
Private medical insurance
Maternity leave (26 weeks)
Paternity leave (6 weeks)
EAP and virtual GP

Job summary

Tesco PLC is seeking a Staff Analytics Engineer for Cyber Analytics to set the technical direction of cybersecurity data products and analytics platforms. You will drive architecture, modelling standards and DataOps practices while mentoring engineers and partnering across security, platform and engineering teams.

You will shape data governance, deliver scalable data solutions, and enable AI-powered analytics with responsible governance and security controls.

Qualifications

  • Proven experience building enterprise-scale data products and leading analytics engineering teams.
  • Strong programming and SQL skills for large-scale transformation and analytics workloads.
  • Experience with cloud data lakehouse architectures (Databricks on Azure) and data quality controls.

Responsibilities

  • Define and drive technical direction for cybersecurity data products and analytics platforms.
  • Lead design and evolution of analytics architecture supporting reporting, ML, and AI-powered analytics.
  • Champion data governance, security, and responsible AI practices across teams.
  • Mentor Analytics Engineers and reinforce engineering standards, reviews and testing.

Skills

Python/PySpark
SQL
Databricks on Azure
Data Modelling
Data Governance
AI/GenAI
ETL/ELT
Airflow
dbt
Tableau
DataOps
CI/CD

Tools

Git
CI/CD tooling

Job description

Tesco PLC is seeking a Staff Analytics Engineer for Cyber Analytics to set the technical direction of cybersecurity data products and analytics platforms. You will drive architecture, modelling standards and DataOps practices while mentoring engineers and partnering across security, platform and engineering teams.

You will shape data governance, deliver scalable data solutions, and enable AI-powered analytics with responsible governance and security controls.

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