Description
Spate is the machine intelligence platform used by top industry beauty brands. We analyze over 20 billion search signals to spot the next big beauty trend and help brands develop their marketing/product strategies.Spate is looking for a backend engineer to help us design and implement the next iteration of our data pipeline, storage, and API backing our SaaS platform.
Responsibilities:
This is a technical role with a high degree of autonomy expected.
- Support customers and staff in understanding and exploiting the platform, data and tools
- Ensure the availability of the platform, data and tools
- Define and implement improvements for the platform, data and tools related to security, quality, testing, automation, documentation and new features
- Contribute to sprint planning, backlog grooming, and task prioritization.
- Estimate the effort required for development tasks and help create project timelines.
- Track and report on progress, addressing any delays or roadblocks proactively.
Requirements
Minimum Qualifications:
- 3 years of experience as a software engineer, working on backend and ETL for webapplications
- Experience collecting, cleaning, and analyzing large data sets
- Proficiency in Python
- Proficiency in SQL
- Strong oral and written communication skills
- Project management skills and ability to handle multiple priorities at different timescales
- Proven problem-solving skills using deductive reasoning, understanding hierarchical relationships, and identifying gaps in logic
- Self-starter and ability to work independently
- Located in Western Europe
Preferred Qualifications:
- Proficiency in at least one of the following tools: Power Bi, Tableau, Google DataStudio
- Excellent analytical and customer-facing skills with attention-to-detail
- Experience working with AWS, GCP or Azure
Recruitment Process:
Our application process consists of a few stages, each of which is asynchronous. We respect your time, so we designed the process with efficiency in mind, including only the essential steps. The goal is to ensure it's a good fit for both you & Spate. Here's what the process entails:
- Application
- Video Interview
- Skills Assessment: Completed through an online platform. Don’t worry, these are practical questions, not pointless leetcode exercises
- Case study with hiring manager
Regardless, we will keep you informed about the status of your application throughout.
Benefits
Why Spate?
- Join a well-funded company that is working with the top brands in consumer goods
- Work directly with the founders to set the direction of the company
- Compensation --> €70k to €80k, depending on experience
- Paid Time Off (Vacation, Sick & Public Holidays)
- Always be up-to-date on the latest trends!
We enjoy a casual atmosphere, but our culture is about getting things done. We are passionate yet pragmatic when it comes to solving problems in a fast-paced environment. Our standards are high, but we thrive on working with people we respect and can learn from. We’re flexible on work styles, as long as everyone is getting their work done - and getting it done well.
About Spate:
At Spate, we use data science to predict the next big consumer trend in beauty, personal care & food.Spate was founded in 2018 by Yarden Horwitz & Olivier Zimmer, two ex-Googlers who led the trendspotting division at Google and uncovered trends such as turmeric, cold brew, and face masks. Spate has been funded by the prestigious Y Combinator incubator and Initialized Capital. We currently have ~90 clients in the U.S., mainly in the beauty space from direct-to-consumer brands to big names such as L’Oréal, Estée Lauder, Unilever, etc.As two ex-Googlers with a passion for using data to spot new patterns in consumer behavior, and we have made it our mission to build the world’s greatest consumer trends prediction platform of all time.
And not just because we want to be trendy, but because we want to help brands get better at giving consumers what they really want.Brands waste over $200BN every year due to product launch failures and inventory waste. By spotting Turmeric, we were able to tell brands to stop wasting money on kale products and provide consumers with glorious golden milk lattes instead - because that’s what consumers want.How do we do this? We tap into publicly available consumer data (anonymous and aggregated) to identify interesting shifts in consumer behavior.
We leverage the latest available technology in ML to solve problems in ways that have never been explored before.We are an equal opportunity employer where our diversity and inclusion are central pillars of our company strategy. We look for applicants who understand, embrace, and thrive in a multicultural and increasingly globalized world. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
