Staff Data Platform Engineer - Cyber Data Platform

Tesco
Ilford
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer - Remote - £70k

Senior Data Engineer - MS Fabric - Remote - £70k - £75k

Senior Product Analyst / Product Analytics Manager

Software Engineer

Staff Full Stack Engineer

Head of Data Engineering

Staff Data Platform Engineer - Cyber Data Platform
Competitive salary
London

About the role

As the Staff Data Platform Engineer in the Cyber Data Platform team, you will be key in designing, developing, and deploying a scalable data platform that empowers users to create advanced analytics, machine learning, and GenAI solutions to enhance our security defences. You will lead architectural decisions, guide technical direction, and mentor the engineering team to deliver high quality data services.

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 will be responsible for

Technical Leadership: Take in charge of the design, development and delivery of cyber data platform solutions and provide technical guidance and mentorship across all teams of cyber data platform.

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.

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.

Data Security and Compliance: Implement and enforce data security standard methodologies, ensuring the protection of sensitive information and compliance with relevant regulations.

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

You will need

  • Proven experience in leading the teams to deliver resilient systems and providing technical guidance for optimal product solutions.
  • Experience building data platforms on cloud services like Databricks on Azure or GCP BigQuery, with the goal of delivering a self-service data platform for users.
  • Proficient in Python and SQL, with a solid grasp of architectural patterns, coding standards, code reviews, version control, and CI/CD practices.
  • Expertise in ETL and ELT frameworks for large scale realtime and batch data processing, with hands-on experience in Kafka, Flink, Airflow and dbt as well as containerisation technologies like Docker and Kubernetes.
  • Ability to provide clear input, guide, opportunities to help engineers develop and advance.
  • Knowledge of cybersecurity principles and practices.

What’s in it for you

We’re all about the little helps. 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 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 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 weeks 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 providing 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 Hereto read more about the full range of benefits we have available for our colleagues.

About us

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 a big business with diverse working patterns and many business areas which means that we can find something that works for you. Everyone is welcome at Tesco. For further information on the accessibility support we can offer, please clickhere.

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.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.