Analytics Engineer - Cyber Data Platform

As the Analytics Engineer on the Cyber Analytics team, you will be responsible for transforming the raw data into organised, usable, well documented and tested data models. These data models will empower security teams to draw insights and develop reporting capability, advanced analytics, machine learning, and GenAI solutions to strengthen our security defences. You will collaborate closely with cross functional security and data teams to ensure the security data is reliable, accurate and accessible.

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.

Data Integration and Transformation: Implement the ETL/ELTs to move data between the raw, trusted, and curated data layers of data lake supporting various real time and batch cyber use case.

Data Modelling: Implement the logical and physical data model for the cyber data products to support threat detection, incident response and reporting.

Coding and Documentations: Contribute to raising the quality bar of the team's codebase by producing high-quality code and documentation of data pipelines, data models and their quality metrics.

Collaboration and Communication: Collaborate and communicate effectively with stakeholders and members of the data team and actively participate in monitoring and improving the data quality of the cyber data products.

A strong passion for bigdata, data modelling, data quality and ETLs

Proficiency in SQL and programming languages like Python

Working knowledge of ETL and ELT frameworks, data modelling and orchestration tools like Airflow and dbt

Experience working with cloud data platforms e.g. Databricks on Azure

Good understanding of data lakes and data warehouses concepts

Good practical understanding of version control systems such as Git

Experience working with BI tools like Tableau

Knowledge of cybersecurity principles and practices

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

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.