Job Opportunities API

At Joko, we help consumers shop smarter. Our mission is to revolutionize shopping, empowering people to find what they need, make informed decisions, and save money. Founded in Paris, Joko is a tech company and certified B Corp with over 105 talents across Paris, Barcelona, and New York (and beyond). More than 6 million users already save money every day at 10,000+ merchants with Joko. From cashback and automatic coupons to price alerts and carbon tracking, we keep expanding our products to make shopping smarter. We’re now building an AI-powered shopping assistant to help users find the best products by price, quality, and environmental impact. Having reached profitability in our core market, we’re now scaling globally, with a strong focus on the US. It’s still day 1, come build the future of shopping with us! 🧚🏻‍♂️ OUR DATA TEAM The Data team at Joko is turning mountains of data into actionable insights for all the teams! We are part of the Operations department led by our COO, and our mission is to empower the company to make informed decisions on solid, trustworthy foundations. More specifically, the team's responsibilities are: - State-of-the-art analytics & data stack: We build top-notch analyses, predictive models, and robust data infrastructure. We operate a modern data stack (Snowflake, dbt, Airbyte, and Metabase) and continuously raise the bar on scalability, reliability, and performance. - AI-driven autonomy for stakeholders: We are doubling down on the combination of AI and data to unlock a new level of autonomy for our stakeholders, seamlessly bridging data insights with the AI tools we use. - Spread the data culture: At Joko, we have a strong engineering and tech culture across all teams. We work hand-in-hand with our stakeholders, providing support and training on data tools, and building close relationships to ensure our solutions align perfectly with their operational needs and evolve with them over time. 🎯 WHAT YOU WILL DO As a Data Engineer, you will own and scale our data infrastructure, working closely with Data Analysts, Product Managers, and Engineers to build a reliable, secure, and high-performing data platform. This is a high-impact role with significant autonomy as we invest seriously in data engineering. Your responsibilities will include: - Scale our data infrastructure: Lead the evolution of our stack to make it more scalable, reliable, and cost-efficient. Anticipate growth in data volume and complexity, and design systems with performance in mind. - Power AI initiatives: Lay solid data engineering foundations that enable AI data products that are used by all stakeholders across the company. - Design and maintain data pipelines: Build robust processes to ingest data from multiple sources (internal systems, APIs, external tools) and orchestrate them efficiently. - Unlock scalable data modeling: Support Data Analysts by improving dbt project organization, factorizing jobs, and ensuring quality and scalability of transformations across the stack. - Ensure data quality & observability: Implement monitoring, testing, and alerting systems to ensure the freshness, reliability, and accuracy of data across the company. - Manage data access & governance: Define and enforce access control policies (e.g., in Snowflake, Metabase) to ensure data is secure, well-permissioned, and compliant. - Implement documentation & knowledge sharing: Ensure models, pipelines, and workflows are well-documented to support onboarding, collaboration, and long-term autonomy of the team. - Tackle exciting challenges ahead: Support new market launches, manage growing data volumes, and help centralize pipelines within an orchestration tool. 👀 WHO WE'RE LOOKING FOR - Experience: You have 5+ years of experience in data engineering or a similar role, with demonstrated ownership over building and/or scaling data infrastructure. - Track record: You have led the impleme