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, Nestlé, Unilever and Metro.
We're looking for a Senior Data Science Engineer (Automation Engineer) to help us automate our project workflows, manage deployment pipelines, and make our delivery processes faster, more reliable, and scalable. You’ll play a key role in developing intelligent automation solutions that optimize processes and improve operational efficiency through advanced AI techniques.
What You’ll Do
- Automate Python/Pyspark codes for data workflows and collaborate with data scientists to refactor notebooks into production-ready systems.
- Design, implement, and manage scalable data pipelines that integrate AI-driven automation to enhance data workflows, automate repetitive tasks, and make decisions based on real-time data.
- Build and integrate tools that enhance automation capabilities, such as job schedulers, version control systems, and monitoring solutions for data science projects.
- Work closely with data scientists to identify areas for AI-driven process improvements and design solutions that enhance overall workflow efficiency
Key Skills & Qualifications
- 5+ years of relevant experience required
- Proficiency in Python, with a strong grasp of scripting, automation, and modular design.
- Experience with AI agents, including techniques such as reinforcement learning, decision trees, autonomous agents, or multi-agent systems to automate and optimize processes.
- Experience with automation frameworks and tools like Apache Airflow or other orchestration platforms to manage workflows.
- Solid understanding of Git, version control workflows, and release cycles.
- Experience deploying to cloud platforms like AWS, GCP, or Azure.
- Familiarity with Docker and Kubernetes for deploying and managing solutions.
- Experience with FastAPI, or Flask for API deployment.
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 – 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)
Skills Required
- 5+ years of relevant experience
- Proficiency in Python including scripting, automation, and modular design
- Experience with PySpark and automating Python/PySpark data workflows
- Experience with AI agents and techniques (reinforcement learning, decision trees, autonomous agents, multi-agent systems)
- Experience with automation frameworks/orchestration platforms such as Apache Airflow
- Solid understanding of Git, version control workflows, and release cycles
- Experience deploying to cloud platforms (AWS, GCP, or Azure)
- Familiarity with Docker and Kubernetes for deployment and management
- Experience with FastAPI or Flask for API deployment
dunnhumby Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dunnhumby and has not been reviewed or approved by dunnhumby.
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Fair & Transparent Compensation — Pay is considered competitive relative to similar-sized firms in several markets. Positive perceptions of the overall pay-and-benefits mix support the view that compensation is broadly fair.
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Leave & Time Off Breadth — Paid time off is described as generous, with multi‑week starting allowances plus extras like a paid birthday, loyalty‑based additional days, and periodic early Friday finishes. These features contribute to a favorable time‑off experience across several U.S. locations.
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Healthcare Strength — Core coverage includes employer‑verified medical, dental, vision, life, and disability insurance alongside HSA/FSA options. This breadth of coverage is positioned as a solid component of the U.S. package.
dunnhumby Insights
What We Do
Dunnhumby is a customer data platform that provides models and insights into how customers engage with retail and e-commerce spaces.
