Data Engineer

About the role

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. 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.

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.