Data Engineer

Joko in Barcelona is seeking an experienced Data Engineer to lead the evolution of their data stack and enhance data-driven decision-making. The role focuses on scaling data infrastructure and building robust data pipelines while ensuring data quality and governance., From cashback and automatic coupons to price alerts and carbon tracking, we keep expanding our products to make shopping smarter. We're now building an AI-powered shopping assistant to help users find the best products by price, quality, and environmental impact.

Having reached profitability in our core market, we're now scaling globally, with a strong focus on the US. Our Data team

The Data team at Joko turns 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. Team Responsibilities

• State-of-the-art analytics & data stack: Build top-notch analyses, predictive models, and robust data infrastructure using Snowflake, dbt, Airbyte, and Metabase, continually raising the bar on scalability, reliability, and performance.
• AI-driven autonomy for stakeholders: Double down on the combination of AI and data to unlock new levels of autonomy, seamlessly bridging data insights with the AI tools we use.
• Spread the data culture: Work hand-in-hand with stakeholders, providing support and training on data tools, and building close relationships to ensure our solutions align with their operational needs and evolve over time.

What You Will Do

• Scale our data infrastructure: Lead the evolution of our stack to be more scalable, reliable, and cost-efficient, anticipating growth in data volume and complexity.
• Power AI initiatives: Lay solid data engineering foundations that enable AI data products 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 in Snowflake and 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.

The ideal candidate will have 5+ years of experience in data engineering, proficiency in SQL and Python, and expertise in modern data stack tools like Snowflake and dbt. Flexible working arrangements, top-market compensation, and equity offered., * 5+ years of experience in data engineering or a similar role.

• Led implementation of a modern data stack.

• Proficient in SQL and Python, with cloud environment experience., Data infrastructure scaling SQL proficiency Python programming Orchestration tools experience Data modeling Collaboration, * Experience: 5+ years of experience in data engineering or a similar role, with demonstrated ownership over building and scaling data infrastructure.

• Track record: Led the implementation or scaling of a modern data stack (e.g., Airflow, dbt, BigQuery/Snowflake, event streaming) in a startup or scale-up environment.

• Technical skills: Proficient in SQL and Python, with 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: Curious about AI and its applications, using AI in daily work and interested in data-field applications.

• Mindset: Pragmatic, curious, proactive, valuing clean architecture, documentation, and continuous improvement.

• Collaboration: Able to clearly communicate with both technical and non-technical stakeholders.

• Languages: Fluent in English, 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: Work from most countries in the world for up to 3 months per year.
• Top-market compensation.
• Equity for all 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 and sharpening your skills.
• Yearly offsite in amazing locations with a budget for team-building events and monthly in-person gatherings.
• Contribution to your ClassPass subscription.
• 8-week leave paid 100% for the second parent.

Founded in Paris, Joko is a tech company and certified B Corp with over 105 talents across Paris, Barcelona, and New York (and beyond). More than 6 million users already save money every day at 10,000+ merchants with Joko.