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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. 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. 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. • 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. We’re proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application. #J-18808-Ljbffr

Tesco is seeking a Senior Data Platform Engineer within the Cyber Data Platform team to build and maintain a scalable data platform that enables advanced analytics, machine learning, and GenAI for stronger security defences.You will collaborate closely with cross-functional data teams to ensure secu

As the Staff Analytics Engineer for Cyber Analytics, you will set the technical direction for cybersecurity data products, ensuring they are trusted, scalable and built for impact. You will drive data modelling standards, analytics architecture and engineering best practices, enabling high-quality insights, AI-powered analytics and secure self-service capabilities. Partnering with security, platform and engineering teams, you will shape long-term strategy, champion data governance and AI responsibility, and mentor Analytics Engineers to deliver exceptional data products at scale. Technical Leadership and Data Product Strategy: Define and drive the technical direction for cybersecurity data products, establishing engineering standards, best practices and operating models that enable the team to deliver trusted, scalable and high-value data solutions aligned to security and business objectives. Analytics Architecture: Lead the design and evolution of the cybersecurity analytics architecture, defining data patterns, modelling approaches and data product frameworks that support reporting, advanced analytics, machine learning, GenAI and AI-powered analytics experiences at scale. Data Modelling and Semantic Enablement: Define and govern data modelling standards and semantic layer design principles that enable consistent, discoverable and trusted data products, supporting self-service analytics, threat investigation and decision-making across security teams. Engineering Excellence and Documentation: Champion engineering excellence by driving coding standards, testing frameworks, peer review practices and documentation approaches that improve quality, maintainability, consistency and knowledge sharing across the Analytics Engineering function. Automation and AnalyticsOps: Lead the adoption of automation and DataOps practices that improve the deployment, testing, monitoring, and operational management of data products, enhancing scalability, reliability and developer productivity. AI and Analytics Enablement: Shape the strategy and technical approach for analytics agents and conversational analytics capabilities, enabling users to explore and investigate security and business data through natural language experiences while ensuring responsible AI adoption through appropriate governance, security controls and human oversight. Data Governance, Security and Compliance: Establish and promote data governance, security and compliance standards across the cybersecurity analytics estate, ensuring sensitive data is protected and managed in accordance with organisational policies and regulatory requirements. Cross-functional Leadership and Influence: Partner with security, engineering and data leaders to shape roadmaps, influence architectural decisions and align analytics capabilities with strategic priorities, communicating complex technical concepts clearly to both technical and non-technical stakeholders. In addition to the above core accountabilities, I am also responsible for contributing to and supporting the recruitment, coaching, mentoring and development of Analytics Engineering talent, helping to raise technical capability and foster a culture of engineering excellence across the Cyber Analytics team. Strong passion for data engineering, data modelling, data quality and building trusted, scalable data products that enable analytics, machine learning and AI-driven use cases. Proven experience leading the design and delivery of enterprise-scale data products, defining technical strategy, architectural patterns and engineering standards while providing technical leadership across teams. Expert programming experience with Python/PySpark and advanced proficiency in SQL for large-scale data transformation, optimisation and analytics workloads. Extensive experience designing and implementing scalable data solutions on cloud platforms such as Databricks on Azure, including data lakehouse architectures, data modelling frameworks and data quality controls. Deep understanding of analytics architecture, data modelling methodologies, semantic layer design, and approaches for delivering discoverable, governed and reusable data products. Expertise in ETL and ELT frameworks for large-scale batch and near real-time processing, with hands‑on experience using orchestration and transformation technologies such as Airflow and dbt. Strong knowledge of software engineering best practices, including coding standards, code reviews, testing strategies, version control systems such as Git, and CI/CD processes. Experience driving automation and DataOps practices that improve deployment, monitoring, reliability and operational efficiency of data products. Experience developing dashboards, visualisations and self‑service analytics capabilities using tools such as Tableau, enabling users to derive actionable insights from complex datasets. Experience shaping or implementing analytics agents, conversational analytics capabilities, semantic layers or other AI‑powered analytics solutions that enable users to explore and investigate data through natural language. Understanding of responsible AI principles, including governance, security controls, evaluation frameworks and appropriate human oversight. Strong leadership, mentoring and coaching skills, with the ability to develop Analytics Engineers, raise engineering standards and build high‑performing teams. Ability to influence stakeholders and communicate complex technical concepts, architectural decisions and data strategies to both technical and non‑technical audiences. Knowledge of cybersecurity principles, security operations and threat detection use cases, with experience applying data and analytics solutions to support cybersecurity outcomes. Strong communication skills, both written and verbal to effectively engage with team and individuals involved in the project. Strong analytical abilities, attention to detail and ability to empower users with self‑service capabilities through the analytics platform. Experience with collaborative development methods such as mob or ensemble programming. 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. • 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 (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 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. The above information is a shortened summary, refer to our policies for full details 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 are here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We’re proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying. #J-18808-Ljbffr

Tesco is seeking an Staff Analytics Engineer for Cyber Analytics to set the technical direction of cybersecurity data products, ensure trusted, scalable solutions and enable AI-powered analytics. You will champion data governance, mentor Analytics Engineers and partner with security, platform and en

Tesco Technology is seeking a Staff Analytics Engineer for Cyber Analytics to set the technical direction for trusted, scalable cybersecurity data products. You will drive data modelling standards, analytics architecture and engineering best practices, enabling AI-powered analytics and secure self-service capabilities. Partner with security, platform and engineering teams to shape long-term strategy, champion governance and responsible AI, and mentor Analytics Engineers to deliver high-value #J-18808-Ljbffr

Tesco is seeking a Staff Analytics Engineer for Cyber Analytics to set the technical direction for cybersecurity data products, ensuring they are trusted, scalable and impactful. You will lead analytics architecture, data modelling, DataOps and governance, partnering with security, platforms and engineering teams to deliver high-value data solutions with AI-powered insights. This role offers hybrid work across Tesco locations, including Welwyn Garden City, with emphasis on mentorship and #J-18808-Ljbffr

Tesco is seeking a Senior Data Platform Engineer to lead the design, build and maintenance of a robust data platform for advanced analytics, ML and GenAI in cybersecurity contexts. You will architect real-time and batch data pipelines, integrate data from diverse security sources, and mentor junior

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