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- Tasks: Lead the design and development of data solutions for cybersecurity insights.
- Company: Join Tesco, a leading retailer and tech innovator, committed to making life better for customers.
- Benefits: Enjoy flexible working, 25+ days holiday, private medical insurance, and an annual bonus scheme.
- Why this job: Be part of a dynamic team enhancing security through advanced analytics and machine learning.
- Qualifications: Experience in data modelling, Python, SQL, and cloud services like Azure is essential.
- Other info: We value diversity and inclusivity; all backgrounds are encouraged to apply.
The predicted salary is between 48000 - 72000 £ per year.
Join to apply for the Staff Analytics Engineer – Cyber Data Platform role at Tesco Technology
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Join to apply for the Staff Analytics Engineer – Cyber Data Platform role at Tesco Technology
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 empowers our security users to draw insights and develop reporting capabilities, advanced analytics, machine learning, and GenAI solutions to enhance our security defences. You will lead data modelling 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. So, 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 also recognise that life looks a little different for each of us. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, nearing retirement, adapting to parenthood, or something else. That’s why at Tesco, we always welcome a conversation about flexible working. So, talk to us throughout your application about how we can support.
You will be responsible for
Technical Leadership: Take in charge of the design, development and delivery of cyber data lake and data warehouse solutions, as well as analytics frameworks and processes to provide quality data products for various cybersecurity use cases.
Analytics Architecture: Design, build and manage ETLs and data quality process to transform the source data into trusted and curated data products, as well as implementation of Data as a Service (DaaS) model to serve various cybersecurity use cases.
Coding and Documentation: Drive the standards for producing high-quality code, conducting thorough peer reviews, and proactively providing constructive feedback to other team members on their code and lead the documentation as a service approach for data models and ETLs documentation.
Data Security and Compliance: Implement and enforce data security standard methodologies, ensuring the protection of sensitive information and compliance with relevant regulations.
Automation and DevOps: Implement various automations and DevOps practices to streamline the deployment, configuration, and management of data lake and data warehouse solutions.
You will need
Proven experience in leading the teams to deliver robust data models, analytics frameworks and processes, and providing technical guidance for optimal data product solutions.
Solid programming experience with Python/PySpark along with proficiency in SQL
Experience building data lake and data warehouse solution on cloud services like Databricks on Azure with Data as a Service (DaaS) model.
Solid grasp of data lake and data warehouse concepts, analytics architectural patterns, coding standards, code reviews, version control, and CI/CD practices.
Expertise in ETL and ELT frameworks for large scale realtime and batch data processing, with hands-on experience in orchestration tools like Airflow and dbt.
Experience implementing enterprise BI tools like Tableau for visualisation and dashboard reporting
Familiarity with distributed processing and stream processing frameworks
Ability to provide clear input, guide, opportunities to help engineers develop and advance.
Knowledge of cybersecurity principles and practices.
Whats in it for you?
We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work.
- 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 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 weeks fully paid paternity leave - Free 24/7 virtual GP service
- Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing
About Us
You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues.
At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you\’re just kicking off your career, juggling passions, or navigating big life events, we\’re here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support.
We\’re proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here for more information. And if you\’re interested in joining our team but don\’t tick every box, don\’t let that hold you back from applying.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology
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Industries
Retail
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Staff Analytics Engineer - Cyber Data Platform employer: Tesco Technology
Contact Detail:
Tesco Technology 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 Tesco's Cyber Analytics team and their projects. Understanding their current data lake and warehouse solutions will help you speak confidently about how your skills can contribute to their goals during any discussions.
✨Tip Number 2
Showcase your experience with cloud services, particularly Databricks on Azure. Be prepared to discuss specific projects where you've implemented Data as a Service (DaaS) models, as this is crucial for the role.
✨Tip Number 3
Highlight your leadership skills and experiences in mentoring teams. Prepare examples of how you've guided technical direction or improved processes in previous roles, as this will resonate well with the responsibilities outlined.
✨Tip Number 4
Stay updated on the latest trends in cybersecurity and data analytics. Being able to discuss recent developments or tools in the field will demonstrate your passion and commitment to the industry, making you a more attractive candidate.
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 cybersecurity principles. Use keywords from the job description to demonstrate that you meet the specific requirements for the Staff Analytics Engineer role.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your skills align with Tesco's needs. Mention your experience with Python/PySpark, SQL, and cloud services like Databricks, as these are crucial for the position.
Showcase Your Technical Skills: Provide examples of your previous work with ETL processes, data lakes, and data warehouses. Highlight any experience with automation and DevOps practices, as well as your familiarity with BI tools like Tableau.
Emphasise Leadership Experience: Since the role involves technical leadership, be sure to mention any experience you have in guiding teams or mentoring colleagues. This will show Tesco that you can take charge of projects and help develop others in the team.
How to prepare for a job interview at Tesco Technology
✨Showcase Your Technical Leadership
As a Staff Analytics Engineer, you'll be expected to lead and mentor your team. Be prepared to discuss your previous experiences in guiding teams, making architectural decisions, and how you've successfully delivered data products in the past.
✨Demonstrate Your Coding Skills
Since solid programming experience with Python/PySpark and SQL is crucial for this role, be ready to showcase your coding abilities. You might be asked to solve a problem or explain your thought process behind a piece of code during the interview.
✨Understand Data Security Principles
Given the focus on cybersecurity, it's important to demonstrate your knowledge of data security standards and compliance. Prepare examples of how you've implemented security measures in your previous projects and how you ensure data protection.
✨Familiarise Yourself with DaaS Models
The role involves implementing Data as a Service (DaaS) models. Make sure you understand the concept thoroughly and can discuss how you've applied it in your work, particularly in relation to cloud services like Databricks on Azure.
