About Inscríbase rápido, consulte la descripción completa desplazándose hacia abajo para conocer todos los requisitos de este puesto. 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.

Over the years, they have expanded their value proposition to help consumers make smarter shopping decisions with features such as cash back, buy now pay later, automatic coupons, price drop alerts, carbon footprint tracking, and more. Today, they are dedicating significant resources to an AI-powered assistant that helps users find the right product based on criteria like price, quality, or environmental impact across the global e-commerce catalog. It's still day 1 at Joko; 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. Over the years, they have expanded their value proposition to help consumers make smarter shopping decisions with features such as cash back, buy now pay later, automatic coupons, price drop alerts, carbon footprint tracking, and more. Today, they are dedicating significant resources to an AI-powered assistant that helps users find the right product based on criteria like price, quality, or environmental impact across the integral e-commerce catalog.

It's still day 1 at Joko; Founded in Paris, Joko is a tech company and certified B Corp with over 105 talents across Paris, Barcelona, and New York (and beyond). We're now building an AI-powered shopping assistant to help users find the best products by price, quality, and environmental impact. 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.

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.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.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 modeling, warehousing principles, and performance optimization 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.

Our perks (Some of the benefits listed below are available to full-time positions only) 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. Yearly offsite in amazing locations and budget for team-building events & monthly in-person gatherings ~ 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 Engineer, Data Engineering (Cataluña)
🏢 Station F
📍 Cataluña