Staff Analytics Engineer - Cyber Data Platform

What’s 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. Click Here to find out more!

• 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 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.

About us

Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.

Diversity, equity and inclusion (DE&I) at Tesco means that whoever you are and whatever your background, we always want you to feel represented and that you can be yourself at work. In short, we’re a place where Everyone’s Welcome. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.

We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you.  We work in a more blended pattern -combining office and remote working.  Our offices will continue to be where we connect, collaborate and innovate.