Job Description

About Us

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Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation.


We designed a tool that lets creators quickly generate and iterate original images, vector art, illustrations, icons, and 3D graphics with AI. Over 3 million users across 200 countries have produced hundreds of millions of images using Recraft, and we're just getting started.


Join a universe of professional opportunities, develop and support large-scale projects, and shape the future of creativity. We are committed to making Recraft an essential, daily tool for every designer and setting the industry standard. Our mission is to ensure that creators can fully control their creative process with AI, providing them with innovative tools to turn ideas into reality.


If you're passionate about pushing the boundaries of AI, we want you on board!

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We're looking for a

Data Analyst / Engineer

to join us and help build our internal data infrastructure from the ground up.


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Key Responsibilities

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Own the end-to-end data infrastructure: from tracking event data to modeling and visualizing it Develop internal tooling using open-source or self-hosted solutions Set up pipelines to collect, clean, model, and store data (primarily in ClickHouse) Design and maintain data marts optimized for product and business analytics Build and support dashboards in BI tools (Grafana or others) Establish monitoring and data quality processes Collaborate closely with product and business teams to define useful metrics and datasets

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Requirements

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3+ years of experience in data engineering or product analytics Strong SQL skills (preferably with ClickHouse or similar columnar databases) Confident Python experience (for data transformation, automation, etc.) Experience with event tracking systems (web or mobile) and data collection Understanding of data modeling and layered data architecture (raw transformed business-ready) Hands-on experience with BI tools -- ideally not just using dashboards, but configuring or scripting them (Grafana, Superset, Metabase, etc.) Ability to write reusable, parameterized SQL templates Familiarity with basic data monitoring and quality checks Strong product/business sense and ability to prioritize practical solutions Experience with large datasets (millions of daily events, tens of GB)

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What We Offer

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Competitive salary. Opportunities for professional growth and development. A collaborative and user-focused work environment. The chance to shape the future of AI-powered creativity through research. * Exciting projects where your insights will directly impact product development.