Reto Matchmaking

Data Engineering & AI Intern

Objetivo del proyecto

At Zirqat, we are building the foundational technology to give every physical product a digital identity, turning labels into data, and products into platforms.

From apparel to food and beverage, cosmetics to mobility, we enable brands to connect their products directly with end users and extract insights at scale. Our infrastructure lets brands track, manage, and understand how their products behave in the real world, enabling new forms of analytics, authentication, storytelling, and post-sale value.


The Role: As a Data Engineering & AI Intern, you’ll join our technical team to help build scalable infrastructure for managing product-level intelligence. You’ll work on designing and testing data pipelines, collaborating on cloud migration strategies, and experimenting with blockchain-linked product registries.

This is not a “reporting” internship. You’ll be helping architect the core data systems for a global, high-volume platform — right from the beginning.


What You’ll Do:

• Help design and test ETL/ELT pipelines to collect and structure product and user interaction data

• Support the creation of data lakes and warehouse layers for scalable analytics

• Assist in deploying early-stage ML models for product scoring, personalization, or anomaly detection

• Contribute to real-time analytics pipelines and cache layers using Redis / Upstash

• Participate in infrastructure planning for scaling including Google Cloud / AWS

• Work on blockchain integration


Tech Stack You’ll Work With:

• Python, SQL, Node.js (for scripting, pipelines, integrations)

• Supabase (PostgreSQL), Google Cloud Platform / AWS  

• Redis / Upstash (real-time data caching)

• Blockchain frameworks ( EVM-compatible chains, smart contracts, verifiable credentials)

• CircleCI, Docker, GitHub Actions (CI/CD + DevOps exposure)


What we are looking for:

• Final-year students or recent grads

• Strong grasp of SQL and Python

• Solid understanding of cloud platforms (GCP or AWS is required)

• Familiarity with real-time analytics concepts, microservices, or data lakes is a plus

• At least B2 in English


Punto de partida

0

Información de interés

0

Zirqat

Zirqat

VII Experiencia Matchmaking (Talento – Empresa) 
Machine Learning
Prácticas

Vacantes

1 personas

Duración

26 semanas

Perfiles

  • Estudiante de Master
  • Estudiante de último año de grado
  • Egresados

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