We help consumers shop smarter. Our ambition? Revolutionize shopping for the next generation of consumers, powered by technology, data, and AI. We empower millions of people to find what they need, make informed purchasing decisions, and save money — effortlessly.
Joko is a tech company founded in Paris. Our team of over 50 talents is international and spread across offices in Paris, Barcelona and New York, or working remotely.
As a certified B Corporation, we are committed to making a difference in the lives of the communities we serve, including the 4 million consumers already using Joko to save money every day at over 7,000 merchants.
Over the years, we have quickly expanded our value proposition to enable consumers to make smarter shopping decisions through many features: cash back, buy now and pay later, automatic coupons, price drop alerts, carbon footprint tracking, and more. Today, we are dedicating significant resources to developing an AI-powered assistant that helps users find the right product based on their criteria for price, quality, or environmental impact from the global e-commerce catalog.
After reaching profitability in our core market, we are now expanding internationally with a primary focus on the US.
It’s still day 1; come build the future of shopping with us!
At Joko, the Data team plays a central role in transforming data into a true product that powers insights, automation, and innovation across the company. We are part of the Data & Operations department, and our mission is to build robust data foundations that enable all teams to make smarter, faster, and more scalable decisions.
Today, the team is made of Data Analysts handling full-stack responsibilities, from building dashboards and conducting analyses to designing and maintaining data pipelines. We are now looking for our very first Data Engineer who will take ownership of our infrastructure, set new standards for scalability and reliability, and lay the foundations of a scalable data platform that can power Joko's future growth, new markets, and AI-driven features in a fast-evolving environment.
Build data as a product: We design, document, and maintain trusted datasets used company-wide—from business reporting to experimentation, automation, and internal tools.
Operate and evolve a modern data stack: We currently operate on Snowflake, dbt, Airbyte, and Metabase. As we grow, we aim to factorize our pipelines, strengthen orchestration, and improve monitoring and governance.
Deliver actionable insights and power AI: We deliver high-quality reports, self-serve dashboards, and data tools that help every team—from Product to Ops to Marketing—understand, explore, and act on data. We also lay the ground for data science initiatives and AI-powered features that shape Joko's future products.
Spreading data culture: At Joko, data is everyone's business. We foster a strong data culture by training teams and sharing best practices to make data both accessible and trustworthy.
As our first Data Engineer, you will take ownership of building and scaling our data infrastructure, working closely with Data Analysts, Product Managers, and Engineers to create a reliable, secure, and high-performing data platform. This is a high-impact role with significant autonomy and growth potential as we invest in data engineering capabilities.
Scale our data infrastructure: Lead the evolution of our stack to make it more scalable, reliable, and cost-efficient. We will need to anticipate growth in data volume and complexity, and design systems that scale accordingly with performance in mind.
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: While the Data Analysts are the key contributors on data modeling and transformation, you will support them by improving dbt project organization, factorizing dbt jobs, and ensuring quality and scalability of data transformation across the stack.
Ensure data quality & observability: Implement monitoring, testing, and alerting systems to ensure the freshness, reliability, and accuracy of data used by stakeholders.
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.
Collaborate with Data Analysts & stakeholders: Work closely with Data Analysts and other teams to ensure the stack supports their needs and empowers them to build on solid foundations.
Help us tackle exciting challenges ahead: Build infrastructure to support new market launches and internationalization, manage large and growing data volumes, factorize and centralize pipelines within an orchestration tool, and lay solid groundwork for AI initiatives accross the company.
Experience: At least 5 years of experience in data engineering or a similar role, with demonstrated ownership over building and/or scaling data infrastructure. The Data team is currently composed of Data Analysts having full-stack roles, and we need someone experienced for this first position of Data Engineer.
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), cloud environments (Snowflake, GCP, AWS).
Architectural thinking: Strong understanding of data modeling, warehousing principles, and performance optimization techniques.
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.
We believe that flexibility and trust are important parts of a company. Our work environment reflects this thanks to:
Flexible remote: If you live in Paris, you can work from our office or from your place with no constraints. If you live elsewhere, you can get access to a coworking space.
Work from anywhere: Do you want to travel to Italy for a month and work from there? For up to 3 months a year, you may work from most countries in the world (for full-time employees).
On top of that, we offer many perks such as:
a budget for remote work equipment
a ClassPass subscription for you to stay in shape wherever you are
premium health insurance (Alan Blue in France)
a Swile card for your meals, if you are based in France
frequent team events and in-person gatherings every quarter!
and so much more, see here ⏪
Intro Call: Quick screening with the Hiring Manager or a recruiter.
Step 1 – Team Interview (45 min): Discussion with two future teammates.
Step 2 – Case Study & Debrief (45 min): You’ll work on a take-home assignment relevant to the role (e.g. coding, analysis, strategy, or process design), then present it in a live debrief. We assess both your output and how you think in real time.
Step 3 – Founders Interview (45 min): Conversation with two of our founders.
References: Up to five calls with former colleagues or managers.
☕ You may also be invited for coffee or drinks with team members to get a feel for our culture.
Originally posted on Himalayas
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