We have an exciting opportunity for an Associate Analytics Engineer to join our Cyber Analytics team!
In this role you will help transform raw data into organised, usable, well-documented, and tested data models. These data models will support security teams in drawing insights, developing reporting capabilities, advanced analytics, and solutions to enhance our security defences. You will work closely with cross-functional security and data teams to ensure the security data is reliable, accurate, and accessible.
- Data Integration and Transformation: Assist in the implementation of ETL/ELT processes to move data between different layers (raw, trusted, and curated) of the data lake, supporting various real-time and batch cyber use cases.
- Data Modeling: Support the development of logical and physical data models for cyber data products to aid 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: Work closely with stakeholders and data team members, actively participating in monitoring and improving the data quality of cyber data products.
- You will have approx. 1 to 3 years of experience working within an Analytics Engineering role or similar
- Proficiency in SQL and programming languages like Python
- Familiarity with ETL and ELT frameworks, data modelling and orchestration tools like Airflow and dbt
- Exposure to cloud data platforms e.g. Databricks on Azure or similar technologies is a plus
- An understanding of data lakes, data warehouses and general data management concepts
- Some experience working with BI tools like Tableau is a plus
- A desire to learn about cybersecurity principles and practices
- Strong communication skills, both written and verbal to effectively engage with team and individuals involved in the project.
- Strong analytical abilities and attention to detail.
- Experience with collaborative development methods such as mob or ensemble programming is a plus.
- A strong passion for bigdata, data modelling, data quality and ETLs
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.
We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. 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. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.
