Senior Analytics Engineer - Cyber Data Platform

As the Senior Analytics Engineer on the Cyber Analytics team, you will be key in designing and leading the implementation of 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 enhance our security defences. You will collaborate closely with cross functional security and data teams to ensure the security data is reliable, accurate and accessible. Also, you will contribute to the analytics platform architecture and mentor junior team members to deliver high-quality data products for cybersecurity. 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: Lead the implementation of data transformation and automated data quality frameworks to move data across the raw, trusted, and curated layers of the data lake, delivering reliable data products to security users. Data Modelling: Design, build and manage the logical and physical data model which are discoverable, accessible and reliable to support various threat detection, analysis and reporting capabilities. Coding and Documentation: Contribute to raising the quality bar of the team's codebase by producing high quality ETLs, conducting thorough peer reviews, and proactively providing constructive feedback to other team members on their code. Automation: Implement various automations practices to streamline the deployment, configuration, and management of data models, ETLs and data quality frameworks. Collaboration and Communication: Collaborate with various security teams, effectively communicating data concepts and data product solutions to individuals with different levels of data expertise. A strong passion for bigdata, data modelling, data quality and ETLs Solid programming experience with Python/PySpark along with proficiency in SQL Extensive working experience with ETL and ELT frameworks and orchestration tools like Airflow and dbt Experience building robust data models on cloud services like Databricks on Azure and implementing automated data quality frameworks and related controls Experience working with BI tools like Tableau Good practical understanding of version control systems such as Git and CI/CD process Ability to provide clear input, guide, empower junior members of the team to achieve desired outcomes Knowledge of cybersecurity principles and practices