Technical Account Lead
Sao Paulo
dunnhumby
Global leader in Customer data science, retail media and analytics, experts in working with brands, grocery retail, retail pharmacy, and retailer financial services.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 looking for a talented Technical Account Lead who expects more from their career. It’s a chance to work with our clients to implement our data platforms and software products. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers.
Joining our Technical Account Management team, you’ll work with world-class and passionate people to support data exploration assessment and audit to fully understand client data and systems. You’ll answer data-related inquiries from both internal and client stakeholders and use data knowledge to support and suggest the best options to outline data roadmaps. You’ll also resolve any data issues with client data providers and support the Client Leadership teams to ensure our data solutions meet requirements.
What we expect from you
- Degree or equivalent in Information Systems or Computer Science or similar.
- English and Spanish advanced proficiency level
- At least 5+ years of experience working, communicating and dealing with clients on a regular basis.
- Experience with Google Cloud Platform and/or Microsoft Azure implementations, Cluster frameworks and PaaS.
- Experience with open source distributed data platforms.
- Experience in Python and PySpark a plus.
- Working knowledge of modern and traditional data warehousing and data processing technologies.
- Experience with data engineering concepts and technologies.
- Ability to query and investigate data in any flavor of SQL.
- Strong stakeholder management skills.
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 and dh Thrive as the living proof. Everyone’s invited.
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)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Computer Science Data Warehousing Engineering GCP Google Cloud Open Source Privacy PySpark Python SQL
Perks/benefits: Flex hours
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.