Qureos Mentor

dunnhumby

dunnhumby helps businesses grow through faster, better decision making, serving as the essential intelligence layer connecting leading retailers and brands. With over 35 years of experience, they combine AI-enabled science, software, and trusted advice to navigate complex priorities in loyalty, media, and category management. Their expertise drives performance and builds lasting customer loyalty, working with major brands like Tesco and Coca-Cola across various global locations.

<div>
 
 We're looking for a
 
 Platform Engineer
 
 to join our Application Platform team. You'll help build and operate the deployment platform, tooling, and developer experience that every engineering team at dunnhumby relies on to ship software to production.
 
 
 
 
 
 
 This role can be based from either our London or Manchester office.
 
 
 
 You'll join at a moment when we're moving our retail analytics platform from monthly bundled releases to continuous per-service deployment on Kubernetes. You'll be hands-on with that migration in your first few months and then stay on long-term as a core member of the team that owns and evolves the platform. It's a clear path into senior platform engineering for someone who has shipped production Kubernetes work and wants to grow their craft on a platform used by hundreds of engineers.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Build and maintain the platform primitives that enable service teams to deploy independently, including ArgoCD application manifests, GitOps repository lifecycles, reusable Helm chart templates, and External Secrets Operator configuration.
 </li>
 <li>
 Pair with engineers across product and data teams as they onboard onto the new platform, addressing repeated questions at the template layer to prevent recurring issues.
 </li>
 <li>
 Contribute to platform design discussions and help shape the paved road that engineers across dunnhumby build on.
 </li>
 <li>
 Author and maintain reusable GitLab CI pipeline templates covering build, test, publish, deploy, and post‑deploy stages.
 </li>
 <li>
 Work with service teams to migrate pipelines onto the platform standard and retire bespoke per‑service deployment scripts.
 </li>
 <li>
 Continuously improve build times, pipeline reliability, and developer feedback loops.
 </li>
 <li>
 Respond to platform alerts during working hours, triaging ArgoCD sync failures, secret synchronisation errors, and flaky pipelines.
 </li>
 <li>
 Join the Application Platform on‑call rotation once ramped up (typically after the first few months).
 </li>
 <li>
 Instrument platform tooling with structured logging and dashboards to improve visibility without manual investigation.
 </li>
 <li>
 Write unit and integration tests to meet SonarQube coverage requirements and create smoke tests for deployment workflows &mdash; no green CI, no merge.
 </li>
 <li>
 Keep migration playbooks, ArgoCD setup guides, and per‑service pipeline documentation accurate and up to date.
 </li>
 <li>
 Share learnings with the squad through regular knowledge‑sharing sessions.
 </li>
 </ul>
 
 
 
 
 
 What we expect from you:
 
 
 <ul>
 <li>
 Strong professional software or platform engineering experience, shipping code or infrastructure to production within a team environment
 </li>
 <li>
 Hands‑on Kubernetes experience on GKE, AKS, or EKS, with confidence using Deployments, Services, Ingress, ConfigMaps, Secrets, and RBAC
 </li>
 <li>
 Helm experience, including writing or substantially modifying charts, with a solid understanding of values files, templates, hooks, and chart dependencies
 </li>
 <li>
 Experience with GitLab CI or a comparable CI tool (e.g. GitHub Actions, Azure DevOps, Jenkins, CircleCI), having built or meaningfully modified pipelines rather than just used them
 </li>
 <li>
 Production experience with Python or Go, with the ability to discuss real code from professional work
 </li>
 <li>
 Confidence working with Linux, Bash, Docker, and standard Unix tooling
 </li>
 <li>
 Strong Git practices within a team environment, including branching strategies, PR/MR workflows, review feedback, and merge conflict resolution
 </li>
 <li>
 A proven track record of shipping to production in a professional team setting (not solely prototype or personal projects)
 </li>
 <li>
 Exposure to ArgoCD, Flux, or another GitOps tool is required
 </li>
 <li>
 Experience with External Secrets Operator, Vault, or similar secret‑sync patterns is beneficial
 </li>
 <li>
 Familiarity with Terraform, multi‑cloud environments (GCP and Azure), observability tooling (e.g. New Relic, Datadog, Prometheus, Grafana), or contract testing with Pact would be valuable
 </li>
 </ul>
 
 
 
</div>

Software Engineer- Platform

<div><div>dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.

dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestl&eacute;, Unilever and Metro.</div><div></div> 
We're looking for a Senior Applied Data Scientist who expects more from their career. This is an opportunity to apply your expertise to distil complex problems into meaningful, actionable insights -leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients. 


Joining our advanced data science team, you'll be responsible for the ongoing implementation, support and development of complex models and applications, working alongside exceptionally talented colleagues who are challenging and rewriting the rules rather than simply following them. 
Our team works closely with Tesco to solve some of the most interesting and challenging problems in the category management space. We work collaboratively with our client leadership team and with our clients, to build solutions that are re-usable, scalable and deliver measurable value. You'll drive change, shape innovative solutions, and actively redefine how organizations harness data. 


What we expect from you
<ul>
<li>Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field</li>
<li>Strong programming skills &mdash; Python and SQL are essential; PySpark experience is highly advantageous</li>
<li>Experience with version control tools (e.g. GIT)</li>
<li>Solid understanding of analytical technologies, tools, and techniques</li>
<li>Excellent logical thinking and problem‑solving abilities</li>
<li>Strong communication skills, with the ability to explain complex concepts clearly to non‑technical audiences</li>
<li>Proven experience in statistical modelling and applying data science solutions to real client problems</li>
<li>A passion for connecting technical work to real customer outcomes, delivering clear and measurable impact</li>
<li>Comfortable building new workstreams from the ground up, including defining direction, structure, and stakeholder alignment</li>
<li>Background in retail analytics (especially exposure to Category Management) is advantageous</li>
</ul><div>
What you can expect from us

We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.

You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.

And we don't just talk about diversity and inclusion. We live it every day &ndash; with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.

Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.

For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)</div></div>

Senior Applied Data Scientist

<div><div>dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.

dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestl&eacute;, Unilever and Metro.</div><div></div> 
At dunnhumby, we're building a unified intelligence layer, a modern platform designed for AI, real-time data, and scale. This new architecture replaces heritage products that worked in isolation, enabling tailored experiences for different personas and workflows that span across silos. By democratizing our science and integrating richer data feeds, the platform will drive deeper collaboration between retailers and CPGs and deliver long-term value. Joining this team means working on cutting-edge technology that transforms how data, AI, and product innovation come together to shape the future of retail.

We're looking for an Lead Engineer to join our Application Platform Team, who combines strong technical expertise with people leadership, capable of guiding teams delivering high‑quality, production‑ready solutions. You'll bring hands‑on experience across modern engineering stacks and be comfortable working closely with platform, product, and data teams to deliver scalable systems. Alongside this, you'll play a key role in developing and supporting engineers at different levels, fostering a collaborative, high‑performing environment, and ensuring best practices around code quality, reliability, and delivery are consistently upheld.

What we're looking for
<ul>
<li>Hands-on experience with .NET, Python, React/JavaScript, and Terraform. Knowledge of Go/Rust and willingness to adopt newer development frameworks.</li>
<li>Comfortable with cloud‑native environments (Kubernetes, Helm, GitOps) and working alongside platform teams</li>
<li>Proven experience shipping production code, ideally in cloud environments</li>
<li>Solid CI/CD knowledge (pipelines, testing, deployment) with tools like GitLab CI, GitHub Actions, or Octopus</li>
<li>Prioritises code quality, testing, and standards as a given</li>
<li>Familiar with Kubernetes patterns, ArgoCD with Crossplane,secrets management, and multi‑cloud (GCP/Azure)</li>
<li>Good understanding of observability (e.g. New Relic) and what &quot;good&quot; looks like in production</li>
<li>Able to set direction, not just follow &ndash; comfortable working cross‑functionally</li>
<li>Experience managing engineers and supporting team growth</li>
<li>Works effectively in Agile teams and keeps processes pragmatic</li>
<li>Strong communicator, able to engage both technical and non‑technical stakeholders</li>
<li>Ability to take high-level requirements and translate them into sound technical designs &mdash; decomposing complexity into logical, implementable components that the team can build with confidence.</li>
<li>Encourages knowledge sharing through practical approaches (pairing, documentation, etc.)</li>
<li>Experience with Elasticsearch preferred &mdash; designing and operating search solutions in production, including indexing strategies, query optimisation, and relevance tuning. Familiarity with Elastic Cloud is a plus.</li></ul><div> 
What you can expect from us

We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.

You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.

And we don't just talk about diversity and inclusion. We live it every day &ndash; with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.

Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.

For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)</div></div>

Lead Engineer - Full Stack

Join dunnhumby and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

dunnhumby

About Company

Software Engineer- Platform

Senior Applied Data Scientist

Lead Engineer - Full Stack