dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First.
Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.
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, Meijer, Procter & Gamble and Metro.
Retail Media is transforming how advertisers connect with consumers through personalized and targeted campaigns across retailers' digital and physical touchpoints. Retail Media Measurement plays a pivotal role in ensuring the effectiveness of these campaigns, driving value for advertisers, retailers, and consumers alike.
This role focuses on designing, building, and scaling solutions that enable the accurate measurement of retail media campaigns across various channels. By providing actionable insights, it empowers stakeholders to optimize media investments, improve ROI, and enhance the overall customer experience.
Job Title: Senior Data Engineer
Job SummaryWe are looking for a talented and motivated Senior Data Engineer to contribute to the design, development, and optimization of real-time and batch data processing pipelines for our retail media measurement solution. In this role, you will work with tools such as Python, Apache Spark, and streaming frameworks to process and analyze data, supporting near-real-time decision-making for critical business applications in the retail media space.
You will collaborate with cross-functional teams, including Data Scientists, Analysts, and Senior Engineers, to build robust and efficient data solutions. As a Data Engineer, you will focus on implementing scalable data pipelines under the guidance of senior team members while gaining hands-on experience with streaming and batch processing systems. Your contributions will help ensure the reliability and performance of our data infrastructure, driving impactful insights for the business. This role offers an excellent opportunity to grow your expertise in modern data engineering practices while working on cutting-edge technologies.
What We Expect From You :
- Experience:
- 7–9 years of experience as a Data Engineer.
- Prior experience working with scalable architecture and distributed data processing systems.
- Technical Expertise:
- Strong programming skills in SQL and PySpark.
- Proficiency in big data solutions such as Apache Spark and Hive.
- Experience with big data workflow orchestrators like Argo Worklfows
- Hands-on experience with cloud-based data stores like Redshift or BigQuery (preferred).
- Familiarity with cloud platforms, preferably GCP or Azure.
- Development Practices:
- Strong programming skills in Python, with experience in frameworks like FastAPI or similar API frameworks.
- Proficiency in unit testing and ensuring code quality.
- Hands-on experience with version control tools like Git.
- Optimization & Problem Solving:
- Ability to analyze complex data pipelines, identify performance bottlenecks, and suggest optimization strategies.
- Work collaboratively with infrastructure teams to ensure a robust and scalable platform for data science workflows.
- Collaboration & Communication:
- Excellent problem-solving skills and the ability to work effectively in a team environment.
- Strong communication skills to collaborate across teams and share technical insights.
Nice To Have:
- Experience with microservices architecture, containerization using Docker, and orchestration tools like Kubernetes.
- Exposure to MLOps practices or machine learning workflows using Spark.
- Understanding of logging, monitoring, and alerting for production-grade big data pipelines.
This role is ideal for someone eager to grow their expertise in modern data engineering practices while contributing to impactful projects in a collaborative environment.
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)
Top Skills
What We Do
Dunnhumby is a customer data platform that provides models and insights into how customers engage with retail and e-commerce spaces.
