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.
We’re on the lookout for an enthusiastic Technical Account Lead who is ready to elevate their career! This is an incredible opportunity to collaborate with our dynamic dh Data and Product teams to create and enhance top-notch data models and innovative data products. Join us and be part of a market-leading business where you can explore exciting new opportunities and make a significant impact on global retailers!
By joining our TAM and Data Consulting team, you’ll team up with world-class, passionate individuals to build and enhance our common data model, metadata management, and data assessment products. You’ll tackle data-related inquiries from both TAM and product stakeholders, leveraging your dh product knowledge to provide the best solutions. Plus, you’ll play a crucial role in resolving any data issues during client onboarding and championing the client’s interests within dh technical leadership.
What do we expect from you?
- A strong background in data modeling and its concepts.
- Proficiency in querying and investigating data in any flavor of SQL.
- Excellent stakeholder management skills.
- Experience with data engineering concepts and technologies.
- Familiarity with Python and PySpark is a plus!
- Experience with Google Cloud Platform and/or Microsoft Azure implementations, Cluster frameworks, and PaaS.
- Experience with open-source distributed data platforms.
- Working knowledge of modern and traditional data warehousing and data processing technologies.
- A Degree or equivalent in Information Systems, Computer Science, or a related field is preferred, but not essential!
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.
