
eCommerce • Finance • B2C
Joko is a mobile application that enhances users' purchasing power by offering cash back rewards and automatic coupon codes on everyday purchases. With over 4 million members, the app allows users to earn cash back effortlessly as they shop at their favorite retailers. Joko simplifies the purchasing experience, ensuring that members never pay more than necessary for their purchases while accumulating rewards quickly.
August 3

eCommerce • Finance • B2C
Joko is a mobile application that enhances users' purchasing power by offering cash back rewards and automatic coupon codes on everyday purchases. With over 4 million members, the app allows users to earn cash back effortlessly as they shop at their favorite retailers. Joko simplifies the purchasing experience, ensuring that members never pay more than necessary for their purchases while accumulating rewards quickly.
• We help consumers shop smarter. Our ambition? Revolutionize shopping for the next generation of consumers, powered by technology, data, and AI. • Today, we are dedicating significant resources to developing an AI-powered assistant that helps users find the right product based on their criteria for price, quality, or environmental impact from the global e-commerce catalog. • At Joko, the Data team plays a central role in transforming data into a true product that powers insights, automation, and innovation across the company. • We are now looking for our very first Data Engineer who will take ownership of our infrastructure, set new standards for scalability and reliability, and lay the foundations of a scalable data platform that can power Joko's future growth, new markets, and AI-driven features in a fast-evolving environment.
• Experience: At least 5 years of experience in data engineering or a similar role, with demonstrated ownership over building and/or scaling data infrastructure. The Data team is currently composed of Data Analysts having full-stack roles, and we need someone experienced for this first position of Data Engineer. • Track record: You have led the implementation or scaling of a modern data stack (e.g., Airflow, DBT, BigQuery/Snowflake, event streaming, etc.) in a startup or scale-up environment. • Technical skills: Proficient in SQL and Python. Solid hands-on experience with orchestration tools (Airflow or similar), cloud environments (Snowflake, GCP, AWS). • Architectural thinking: Strong understanding of data modeling, warehousing principles, and performance optimization techniques. • Mindset: Pragmatic, curious, and proactive. You value clean architecture, documentation, and continuous improvement. • Collaboration: Able to clearly communicate with both technical and non-technical stakeholders. • Languages: Fluent in English, both written and spoken.
• Flexible remote: If you live in Paris, you can work from our office or from your place with no constraints. If you live elsewhere, you can get access to a coworking space. • Work from anywhere: Do you want to travel to Italy for a month and work from there? For up to 3 months a year, you may work from most countries in the world (for full-time employees). • a budget for remote work equipment • a ClassPass subscription for you to stay in shape wherever you are • premium health insurance (Alan Blue in France) • a Swile card for your meals, if you are based in France • frequent team events and in-person gatherings every quarter!
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