Joko is an AI shopping app that helps millions of users save time and money when shopping online or in-store. Joko is an AI shopping app that helps millions of users save time and money when shopping online or in-store. What sets Joko’s AI apart is how well it knows its users.

Its shopping recommendations feel personal from day one and get sharper the more they use it. It draws on unique assets to deliver the best experience: one of the largest product catalogs in the world, and unique shopping data no one else has to personalize every recommendation. Users can also track the price of their favorite products and earn cash back almost everywhere.

Joko is a tech company founded in Paris. Their team of 105+ talents is international and spread across Paris, Barcelona, and New York, with some working remotely. It’s still day 1 at Joko; 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 105 talents across Paris, Barcelona, and New York (and beyond). Today, Joko is an AI shopping app: with Juno, our shopping assistant, users can find the right product at the best price in only a few seconds, with recommendations that get sharper the more they use it. 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. 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. 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: 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. 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.

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. 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. 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. You have led the implementation or scaling of a modern data stack (e.g., Airflow, dbt, BigQuery/Snowflake, event streaming, etc.) Proficient in SQL and Python. Solid hands‑on experience with orchestration tools (Airflow or similar) and cloud environments (Snowflake, GCP, AWS).

Strong understanding of data modelling, warehousing principles, and performance optimisation techniques. You use AI in your daily work and you are interested in applications related to the data field. Fluent in English, both written and spoken.

Some of the benefits listed below are available to full‑time positions only) Versátil 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. Yearly offsite in amazing locations and budget for team‑building events & monthly in‑person gatherings ~ The exercise will be relevant to your role (e.g. analysis, strategy, or process design).

You may also be invited for coffee with team members to get a feel for our culture.

Contract Type: Full-Time Possible partial remote

📌 Senior Data Engineer - Contract - Remote (Barcelona)
🏢 Station F
📍 Barcelona