About the job
Join fifty-five, a pioneering data company that empowers brands to leverage data for enhancing marketing, media, and customer experiences through a unique blend of consulting and specialized technology services.
As a vital component of the Brandtech Group's data and marketing division, we provide a comprehensive suite of services that integrates strategy consulting, cloud services, media advisory, and customer experience optimization.
With a team of over 320 digital experts, including consultants, media specialists, engineers, and data scientists, we collaborate closely to deliver top-tier marketing insights and technical support to brands across various industries worldwide.
We partner with advertisers from data collection to activation, assisting organizations in evolving into true omnichannel entities that master the efficiency of their digital ecosystem and its connections to the physical world.
Headquartered in Paris, we operate across three time zones from our ten offices in cities like London, Geneva, Milan, Shanghai, Hong Kong, Shenzhen, Taipei, Singapore, and New York. At fifty-five, we prioritize employee well-being, which earned us a spot in the Best Workplaces France ranking in 2018.
Context:
The engineering team defines, develops, and implements technical solutions for creating data platforms and building data pipelines for our clients. This includes sourcing data from multiple origins (APIs, files, webhooks, etc.), data cleaning, processing, automation, and monitoring. We utilize cutting-edge technologies (Docker, Kubernetes, Terraform, notebooks, etc.) and deploy projects on various cloud platforms (GCP, Azure, AWS).
The team collaborates closely with the Data Science unit to develop advanced use cases for clients, involving various LLMs available in the market.
Mission:
We are seeking a skilled individual to execute technical projects that meet our clients' needs, such as implementing Customer Data Platforms, deploying use cases involving Generative AI, and defining and implementing enterprise-scale data governance. Responsibilities include technical sizing and estimation, architectural implementation, functional specification reviews, and code review/production.
Additionally, this person will play a project and team management role, which involves coordinating internal and external resources, monitoring progress and quality of deliverables, and mentoring and developing team members.

