Software Engineer - Backend & Data (Eastern Europe)

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.This is a remote, full time contractor position in Eastern Europe.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 toolsEnsure the availability of the platform, data and toolsDefine and implement improvements for the platform, data and tools related to security, quality, testing, automation, documentation and new featuresContribute 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.RequirementsMinimum Qualifications:3 years of experience as a software engineer, working on backend and ETL for webapplicationsExperience collecting, cleaning, and analyzing large data setsProficiency in PythonProficiency in SQLStrong oral and written communication skillsProject management skills and ability to handle multiple priorities at different timescalesProven problem-solving skills using deductive reasoning, understanding hierarchical relationships, and identifying gaps in logicSelf-starter and ability to work independentlyLocated in Eastern EuropePreferred Qualifications:Proficiency in at least one of the following tools: Power Bi, Tableau, Google DataStudioExcellent analytical and customer-facing skills with attention-to-detailExperience working with AWS, GCP or AzureRecruitment 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:ApplicationVideo Interview (about 30 minutes)Personality Assessment (35 mins)Customized case study (2 hours)First interview with Hiring Manager (30 mins)Final interview with broader team (30 mins)Regardless, we will keep you informed about the status of your application throughout.BenefitsWhy Spate?Join a well-funded company that is working with the top brands in consumer goodsWork directly with the founders to set the direction of the companyCompensation --> €60k to €80k, depending on experiencePaid 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, wellness & functional 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 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.Originally posted on Himalayas