Staff Analytics Engineer - Cyber Data Platform

Tesco UK; London; Hybrid; GBP 55,000 - 85,000; Full time

Job summary

Tesco UK is seeking a Staff Analytics Engineer to join the Cyber Analytics team. This role involves designing and developing data lake and warehouse solutions, leading technical direction, and mentoring the analytics team. Flexible working arrangements support work-life balance, making it an inclusive opportunity for candidates from diverse backgrounds.

Benefits

Annual bonus scheme of up to 20% of base salary

Holiday starting at 25 days plus personal day

Private medical insurance

Free 24/7 virtual GP service

Employee Assistance Programme

Qualifications

• Proven experience leading teams in delivering robust data models.
• Strong programming skills in Python/PySpark and SQL.
• Knowledge of ETL/ELT frameworks and orchestration tools.

Responsibilities

• Designing and delivering cyber data lake and data warehouse solutions.
• Building and managing ETLs and data quality processes.
• Ensuring data security and regulatory compliance.

Skills

Python

SQL

Data modeling

Data security

Automation

Tools

Databricks

Tableau

Airflow

dbt

Job description

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Client:

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

8918fb8f049e

Job Views:

50

Posted:

24.06.2025

Expiry Date:

08.08.2025

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Job Description:

Tesco UK • Welwyn Garden City • Hybrid • Full-Time • Permanent • Apply by 30-Apr-2025

About the role

As the Staff Analytics Engineer on the Cyber Analytics team, you will be key in designing, developing, and deploying a scalable data lake and data warehouse solutions and data models that empower our security users to draw insights and develop reporting capabilities, advanced analytics, machine learning, and GenAI solutions to enhance our security defenses. You will lead data modeling and architectural decisions, guide technical direction, and mentor the analytics engineering team to deliver high-quality data products.

At Tesco, we believe in the power of spending more time together, face-to-face, than apart. During your working week, you can expect to spend 60% of your time in one of our office locations or local sites and the rest remotely. We recognize that life looks different for each of us, and we support flexible working arrangements. Please discuss your needs during your application process.

What is in it for you

• 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 (after 1 year's service) at full pay, followed by 13 weeks of Statutory Maternity or Adoption Pay, plus 4 weeks fully paid paternity leave
• Free 24/7 virtual GP service
• Employee Assistance Programme (EAP) for you and your family, providing support for mental wellbeing

Responsibilities include:

• Technical Leadership: Designing, developing, and delivering cyber data lake and data warehouse solutions, analytics frameworks, and processes to provide quality data products for cybersecurity use cases.
• Analytics Architecture: Building and managing ETLs and data quality processes, implementing Data as a Service (DaaS) models.
• Coding and Documentation: Maintaining high coding standards, conducting peer reviews, and documenting data models and ETLs.
• Data Security and Compliance: Ensuring data security and regulatory compliance.
• Automation and DevOps: Automating deployment and management of data solutions.

Requirements:

• Proven experience leading teams in delivering robust data models and analytics frameworks.
• Strong programming skills in Python/PySpark and SQL.
• Experience with cloud data lake and warehouse solutions, particularly Databricks on Azure, with DaaS models.
• Knowledge of ETL/ELT frameworks, orchestration tools like Airflow and dbt.
• Experience with enterprise BI tools such as Tableau.
• Understanding of cybersecurity principles.

About us

We are a diverse organization committed to making a positive impact. We support flexible working and are an inclusive employer, welcoming applicants of all backgrounds and abilities.