Data engineer for an AI shopping app

At Joko, our mission is to we help consumers save time and money when shopping online or in-store. Founded in Paris, Joko is a tech company and certified B Corp with over 120 talents across Paris, Barcelona, and New York (and beyond). More than 7 million users already save money every day at 10,000+ merchants with Joko. From cashback and automatic coupons to price alerts, we've kept expanding our products to make shopping smarter.

• 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.

• 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 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) and cloud environments (Snowflake, GCP, AWS).
• Architectural thinking: Strong understanding of data modeling, warehousing principles, and performance optimization techniques.
• Interest in AI: You are genuinely curious about AI and its applications. You use AI in your daily work and you are interested in applications related to the data field.
• 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 choose to work from our office or from home with no constraints. If you live elsewhere, we can provide access to a coworking space and a coworking budget.
• Work from anywhere : Want to spend a month in Italy while working? You can work from most countries in the world for up to 3 months per year.
• Top-market compensation
• Equity for everyone with the chance to own a piece of what you build
• Half-day each week dedicated to leveling up with AI by exploring new tools, iterating hard, and sharpening your skills
• Yearly offsite in amazing locations and budget for team-building events & monthly in-person gatherings
• Contribution to your ClassPass subscription
• 8-week leave paid 100% for the second parent
• Contract Type: Full-Time
• Salary: between 70000€ and 100200€ / year