Data Engineer

at  FeverUp

Hi, we’re Fever
We’re excited you are checking out this job offer.
We are the leading global live-entertainment discovery tech platform with a clear mission: to democratize access to culture and entertainment.
How do we achieve our mission? Fever has developed a proprietary technology that inspires a global community of over 125M people through personalized and curated experiences in their local city whilst empowering entertainment and event creators to reach new audiences and enhance their experience.
Sounds amazing, right?
Behind the user-friendly iOS and Android apps and webpage that work across the world is the engineering team. We are in charge of creating, developing, improving, and maintaining all Fever services so that more people can have an amazing experience.

ABOUT THE ROLE

• You’ll be part of the Data organization, building and operating the core technologies that enable data scientists, analysts and the different business units to leverage rich data in efficient and innovative ways to generate impact and connect people to the most relevant real-world experiences.
• You’ll own critical data pipelines for our Data Warehouse and the resulting data products that are used daily across the company to inform all sorts of decisions and models.
• You’ll ideate and implement tools and processes that increase our ability to exploit our diverse sources of data to solve business problems, understand behaviors, …
• You’ll work with the latest Big Data and Machine Learning technologies to enable new use cases and continuous innovation.

KEY RESPONSIBILITIES

• Build trusted data assets that power Fever’s decision making
• Have a business-oriented mindset and create data automatization to create huge business opportunities
• Design, build and support modern and scalable data infrastructure, e.g.:
• Write robust, maintainable code to orchestrate our ETL workflows.
• Build data quality monitoring processes
• Build data tools to make our analysts and scientists more efficient
• Collaborate with other engineers, and stakeholders to understand what data is required and how best to make it available in our Data Platform.
• Understand the technical trade offs of different solutions, implement them and make them scalable