Senior Data Platform Engineer: Cyber Analytics & GenAI

Tesco; Digswell; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Qualifications

• Solid programming experience with Python and SQL.
• Experience building data platforms on cloud services like Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink.
• Solid grasp of Kubernetes, CI/CD and Terraform
• Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow and dbt
• Ability to provide input, guide, empower junior members of the team to achieve desired outcomes
• Familiarity with machine learning and AI tools is desirable
• Knowledge of cybersecurity principles and practices

Responsibilities

• Design, build and manage realtime, near realtime and batch data architectures that support threat detection, incident response and reporting through advanced analytics, machine learning and GenAI capabilities.
• Implement and manage the automated frameworks for integrating data from various security sources into the security data lake. Also, the data transformation frameworks to move data between the raw, trusted, and curated data layers.
• Contribute to raising the quality bar of the team's codebase by producing high-quality code, conducting thorough peer reviews, and proactively providing constructive feedback to other team members on their code.
• Implement various automations and DevOps practices to streamline the deployment, configuration, and management of data platform components.
• Collaborate with teams from various departments, effectively communicating technical concepts and solutions to individuals with different levels of technical expertise.

Skills

Python

SQL

Databricks Azure

BigQuery

Spark

Flink

Kubernetes

CI/CD

Terraform

Airflow

dbt

Machine learning

Cybersecurity

Tools

Terraform

Airflow

Job description

As the Senior Data Platform Engineer in the Cyber Data Platform team, you will play a key role in building and maintaining 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. Also, you will contribute to the data platform architecture and mentor junior team members to deliver high-quality data services.

Data Architecture: Design, build and management of realtime, near realtime 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 data from various security sources into the security data lake. Also, the data transformation frameworks to move data between the raw, trusted, and curated data layers.

Coding: Contribute to raising the quality bar of the team's codebase by producing high-quality code, conducting thorough peer reviews, and proactively providing constructive feedback to other team members on their code

Automation and DevOps: Implement various automations and DevOps practices to streamline the deployment, configuration, and management of data platform components.

Collaboration and Communication: Collaborate with teams from various departments, effectively communicating technical concepts and solutions to individuals with different levels of technical expertise.

Solid programming experience with programming languages like Python along with proficiency in SQL

Experience building data platforms on cloud services like Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink etc.,

Solid grasp of Kubernetes, CI/CD and Terraform

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

Ability to provide clear input, guide, empower junior members of the team to achieve desired outcomes

Familiarity with machine learning and AI tools is desirable

Knowledge of cybersecurity principles and practices

You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues.

At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support.

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