- Location–London, England
- Company–Tesco
- Job Type–Full-time
- Experience level–Entry level
About the job
What’s in it for you
Benefits
We’re all about the little help. That’s why we give our wonderful colleagues bags of benefits. Including wellbeing services, an award-winning pension scheme and much, much more, our colleague reward package keeps on giving. And helps make every day a little better for you and your family. These include but are not limited to:
- Annual bonus scheme of up to 20% of base salary
- Holiday starting at 25 days plus a personal day (plus Bank holidays)
- Buy a holiday salary sacrifice scheme (for salaried roles)
- Private medical insurance
- Retirement savings plan – save between 4% and 7.5% and Tesco will match your contribution
- Life Assurance – 5 x contractual pay
- 26 weeks maternity and adoption leave (after 1 year’s service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 weeks of fully paid paternity leave
- The right to request flexible working from your first day with us
- 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
- A Colleague Clubcard for you & a family member (after 3 months of service), giving you access to lots of discounts in-store & online
- Great colleague deals and discounts, saving you money on everyday purchases, eating out and utility bills for the home
- Access to our colleague networks provides a space for colleagues to come together from a range of backgrounds. For more information about our colleague networks please click here
- Opportunities to get on – take advantage of our ongoing learning opportunities and award-winning training, to help you achieve the job and career you want
Click Here to read more about the full range of benefits we have available for our colleagues
About The Role
As the Data Platform Engineer in the Cyber Data Platform team, you will contribute to the development and maintenance of a robust data platform that enables users to develop advanced analytics, machine learning, and GenAI solutions to strengthen our security defences. You will collaborate closely with cross-functional data teams to ensure the platform is scalable, secure, and aligned with cybersecurity goals.
We know life looks a little different for each of us. That’s why at Tesco, we always welcome chats about flexible working. 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. So, talk to us throughout your application about how we can support you.
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You will be responsible for
Data Architecture: Support the design, build and management of real-time, near real-time and batch data architectures that support threat detection, incident response and reporting through advanced analytics, machine learning and GenAI capabilities.
Data Integration and Transformation: Implement and manage the automated frameworks for integrating the data from various security sources into the security data lake. Also, the data transformation frameworks move data between the raw, trusted, and curated data layers.
Coding and Documentations: Contribute to raising the quality bar of the team’s codebase by producing high-quality code and documentation of data platform architecture, process and best practices.
Automation and DevOps: Implement various automation and DevOps practices to streamline the deployment, configuration, and management of data platform components.
Collaboration and Communication: Collaborate and communicate effectively with members of the team and actively participate in resolving issues related to data platform operations, providing support as needed.
You will need
Proficiency in SQL and programming languages like Python
Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow
Experience working with cloud platforms e.g. Azure
Knowledge of data lakes and data warehouses concepts and distributed systems like Kafka, Spark etc.,
Familiarity with Kubernetes, CI/CD and Terraform
Knowledge of cybersecurity principles and practices