Software Engineer - Backend & Data (Eastern Europe)

Software Engineer - Backend & Data (Eastern Europe) at SPATE — RS, US

  • Company: SPATE
  • Location: RS, US
  • Employment type: CONTRACTOR
  • Salary: USD 60000–80000 / year
  • Posted: 2026-07-17

About this role

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 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.

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, Pandas, 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: Google DataStudio, Power Bi, Tableau

Excellent analytical and customer-facing skills with attention-to-detail

Experience working with AWS, GCP or Azure

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 --> €60K to 80K, depending on experience

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.

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