Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and development of data solutions for cybersecurity insights.
- Company: Join Tesco, a diverse organisation focused on making a positive impact.
- Benefits: Enjoy flexible working, annual bonuses, and comprehensive health benefits.
- Why this job: Be part of a team enhancing security through advanced analytics and machine learning.
- Qualifications: Experience in data modelling, programming in Python/PySpark, and cloud solutions required.
- Other info: Hybrid work model with 60% office time; supportive of individual needs.
The predicted salary is between 43200 - 72000 £ per year.
Location: London, United Kingdom
Job Category: Other - EU work permit required: Yes
Job Reference: 8918fb8f049e
Job Views: 50
Posted: 24.06.2025
Expiry Date: 08.08.2025
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.
Staff Analytics Engineer - Cyber Data Platform employer: Tesco UK
Contact Detail:
Tesco UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Analytics Engineer - Cyber Data Platform
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Databricks on Azure and ETL frameworks like Airflow and dbt. Having hands-on experience or projects showcasing these skills can set you apart during the interview process.
✨Tip Number 2
Network with current or former employees of Tesco, especially those in the Cyber Analytics team. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your leadership experience in analytics engineering. Be ready to share examples of how you've guided teams in delivering data models and frameworks, as this role emphasises technical leadership.
✨Tip Number 4
Stay updated on the latest trends in cybersecurity and data analytics. Being knowledgeable about current challenges and innovations in the field will demonstrate your passion and commitment to the role during interviews.
We think you need these skills to ace Staff Analytics Engineer - Cyber Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data modelling, analytics frameworks, and programming skills in Python/PySpark and SQL. Use keywords from the job description to align your skills with what Tesco is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for cybersecurity and data analytics. Mention specific projects or experiences that demonstrate your ability to lead teams and deliver high-quality data products.
Showcase Technical Skills: In your application, emphasise your experience with cloud data lake and warehouse solutions, particularly Databricks on Azure. Include any relevant certifications or training that support your technical expertise.
Highlight Leadership Experience: Since the role involves leading teams, be sure to include examples of your leadership experience. Discuss how you've mentored others and guided technical direction in previous roles.
How to prepare for a job interview at Tesco UK
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, PySpark, and SQL in detail. Highlight specific projects where you've designed data models or analytics frameworks, as this role requires strong programming skills.
✨Demonstrate Leadership Experience
Since the position involves leading teams, share examples of how you've guided technical direction or mentored colleagues in previous roles. This will show that you can take on the leadership responsibilities expected in this role.
✨Understand Cybersecurity Principles
Familiarise yourself with basic cybersecurity concepts and how they relate to data management. Being able to discuss these principles will demonstrate your understanding of the context in which you'll be working.
✨Prepare Questions About the Role
Think of insightful questions regarding the team's current projects, challenges they face, or their approach to data security and compliance. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
