Data engineer for an AI shopping app

Station F; Barcelona; A distancia; EUR 70.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity for everyone

AI upskilling half-day

Yearly offsite

ClassPass subscription

Parental leave (8 weeks)

Descripción de la vacante

Joko в Барселоне ищет опытного data‑инженера для масштабирования инфраструктуры данных и поддержки AI‑инициатив. Вы будете развивать data stack, проектировать конвейеры (dbt, Airflow), работать с Snowflake/GCP/AWS и обеспечивать качество и наблюдаемость данных, а также сотрудничать с аналитиками и стейкхолдерами.

Кандидат должен иметь сильный опыт в SQL/Python и владение английским языком, а также умение работать с современными инструментами и методологиями data‑инженерии.

Formación

• 5+ лет опыта data engineering с ответственностью за инфраструктуру данных.
• Вёл внедрение или масштабирование современного data stack (Airflow, dbt, BigQuery/Snowflake, стриминг событий) в стартапе/scale‑up.
• Володение SQL и Python.
• Практический опыт с orchestration tools и облачными средами (Snowflake, GCP, AWS).
• Архитектурное мышление: моделирование данных, принципы warehousing и оптимизация производительности.
• Интерес к AI и его применению в работе с данными.
• Коммуникабельность с тех. и нетех. стейкхолдерами.
• Свободное владение английским языком, устной и письменной.

Responsabilidades

• Масштабировать инфраструктуру данных и сделать стек масштабируемым, надёжным и экономным.
• Предвидеть рост объёмов данных и проектировать системы с учётом производительности.
• Поддерживать AI‑инициативы: заложить базу для AI‑датa‑продуктов.
• Разрабатывать и поддерживать пайплайны данных: сбор данных из разных источников и их оркестрацию.
• Улучшать dbt‑проект и организацию данных, обеспечивая качество и масштабируемость трансформаций.
• Обеспечивать качество, наблюдаемость данных: мониторинг, тестирование и алертинг.
• Управлять доступом и политиками управления данными.
• Документировать модели и пайплайны для быстрой адаптации и обучения.

Conocimientos

SQL

Python

Airflow

dbt

Snowflake

GCP

AWS

Data modeling

Data warehousing

English

Herramientas

Airflow

dbt

BigQuery

Snowflake

Descripción del empleo

Описание

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.

Задачи

• 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.
• 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.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.
• Tackle exciting challenges ahead: Support new market launches, manage growing data volumes, and help centralize pipelines within an orchestration tool.

Требования

• Experience: You have 5+ years of experience in data engineering or a similar role, with demonstrated ownership over building and/or scaling data infrastructure.
• 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) and cloud environments (Snowflake, GCP, AWS).
• Architectural thinking: Strong understanding of data modeling, warehousing principles, and performance optimization techniques.
• Interest in AI: You are genuinely curious about AI and its applications. You use AI in your daily work and you are interested in applications related to the data field.
• 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.

Условия

• 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 : Want to spend a month in Italy while working? You can work from most countries in the world for up to 3 months per year.
• Top-market compensation Equity for everyone 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, iterating hard, and sharpening your skills
• Yearly offsite in amazing locations and budget for team-building events & monthly in-person gatherings
• Contribution to your ClassPass subscription
• 8-week leave paid 100% for the second parent
• Contract Type: Full-Time Salary: between 70000€ and 100200€ / year