Data Engineer

Joko; Paris; Híbrido; EUR 60.000 - 80.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible remote options

Work from anywhere

Contribution to ClassPass subscription

8-week paid parental leave

Yearly offsite in amazing locations

Descripción de la vacante

A tech company in Paris is seeking a Data Engineer to take ownership of building and scaling their data infrastructure. You will collaborate with various teams to ensure the reliability and performance of data platforms. The role requires at least 5 years of experience in data engineering, proficiency in SQL and Python, and a solid grasp of data modeling and cloud tools. This is a unique opportunity to shape data practices in a growing global company.

Formación

• 5+ years of experience in data engineering or similar roles.
• Proficient in SQL and Python with experience in cloud environments.
• Strong understanding of data modeling and performance optimization.

Responsabilidades

• Own the building and scaling of data infrastructure.
• Design and maintain data pipelines from multiple sources.
• Implement monitoring, testing, and alerting systems for data quality.

Conocimientos

SQL

Python

Data modeling

Data warehousing principles

Collaboration

Herramientas

Snowflake

Airflow

DBT

Descripción del empleo

At Joko, we help consumers shop smarter. Our mission is to revolutionize shopping, empowering people to find what they need, make informed decisions, and save money.

Founded in Paris, Joko is a tech company and certified B Corp with over 90 talents across Paris, Barcelona, and New York (and beyond). More than 5 million users already save money every day at 10,000+ merchants with Joko.

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 impact.

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

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.

Here's what we do:

• 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.

🎯 What You Will Do

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.

Your responsibilities will include:

• 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.

👀 Who We're Looking For

• 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.

💎 Our perks

At Joko, we believe that flexibility and trust are essential. Our work environment reflects this through:

• Flexible remote (only to specific fully remote positions): 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 (full-time only): Want to spend a month in Italy while working? Full-time employees can work from most countries in the world for up to 3 months per year.

On top of that, we offer plenty of perks (some for everyone, others only for full-time positions):

• 🇺🇸 After 4 years, spend one month in our New York office

• 🌴 Yearly offsite in amazing locations and budget for team-building events & quarterly in-person gatherings

• 💪 Contribution to your ClassPass subscription

• 🍼 8-week paid parental leave

• …and much more, check the full list here!

🤝 Our hiring process

1. Intro call: Quick screening with the Hiring Manager or a recruiter.

2. Step 1 – Team interview (45 min): Conversation with two Joko team members (could include the Hiring Manager, people from the team you’d join, or colleagues from other teams).

3. Step 2 – Role-specific assessments

   • For non-tech roles: Take-home case study followed by a 45 min debrief. We assess both your output and how you think in real time. The exercise will be relevant to the role (e.g. analysis, strategy, or process design).

   • For tech roles:

     • Coding interview + System design interview

     • For research internships, an additional round may involve analyzing and presenting a research paper

4. Step 3 – Founders interview (45 min): Conversation with two of our founders.

5. References: Up to five calls with former colleagues or managers.

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