Cloud Engineer

About Wunderman

We are a digital leader focused on developing advanced marketing solutions for some of the most admired brands within sport, fashion, FMCG, retail, travel & hospitality, pharma and finance.

At our offices in Copenhagen, Stockholm, Helsinki and Oslo, our diverse thinkers and makers collaborate closely to help our clients inspire and engage consumers on five continents.

Position

Are you a skilled software or cloud engineer with a passion for Machine Learning and AI? Can you assist in the translation of tangible issues into data driven products and would you like to work with some of world’s biggest brands in a successful agency? Then you might be just the Cloud Engineer we’re looking for!

A digital leader within customer relations

Wunderman Thompson Marketing Automation & Personalisation Centre of Excellence (MAP CoE) is a unique organization, delivering high-impact digital marketing experiences that enrich and evolve brand-consumer relationships.

With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world’s most admired brands within sport, fashion, consumer goods, retail, travel & hospitality, pharma, and finance.

What will your day look like?

As our new Cloud Engineer, you become part of our growing Data, Insights and AI team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication and CRM. More specifically, your tasks include:

• Designing and developing components that handle low-latency, high-volume requirements on cloud vendors such as Azure, GCP, and AWS
• Using your software engineering skills to deliver well engineered processing and data pipelines from MVP to production deployment
• Working with data scientists to develop robust and performing machine learning solutions
• Advising clients on how to utilize complex data processing and machine learning projects within the advertising domain across different architectures

Who are you going to work with?

You join a team of highly skilled engineers, data scientists and consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other technology, creative and client teams.

Your qualification

As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas. At the same time, you solve problems in an analytical and pragmatic manner. Moreover, you have:

• A bachelor’s or master’s degree, preferably in Computer Science, Mathematics, or Physics
• 2+ years of experience as a software engineer or similar
• Solid programming skills in Scala, Python, Java, C++, or similar
• 1+ years of experience with deployment to Azure, GCP, AWS or other cloud solutions, preferably within the advanced analytics domain
• Practical experience with all or some of the following:
  • Docker and Kubernetes
  • Data processing with Spark/Hadoop
  • Machine learning frameworks such as Tensorflow, Keras, Pytorch or similar
  • Infrastructure as code (IAC) like deployment manager, terraform, azure resource manager
• Exceptional English skills, both spoken and in writing

What we offer

A global network

At Wunderman Thompson MAP CoE, we are 600+ technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 40+ nationalities who collaborate closely to help our clients inspire and engage consumers on five continents.

We are part of the global Wunderman Thompson network with 20,000 colleagues in 90 markets, and proud to be the Global Center of Excellence for personalized customer experience and marketing automation.

Additional details

Communication and all issues related to the position are curated by Copenhagen Capacity.