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1 день назад

Data Engineer (Image Recognition)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Data Engineer (Image Recognition): Design and build scalable ETL/ELT pipelines and infrastructure to support ML models for automating content creation and image recognition in quick commerce. With an accent on building reliable, production-grade data pipelines and feature engineering. Focus on solving high-scale applied ML problems, ensuring data consistency for model training and inference, and enabling reproducible ML workflows.

Location: Barcelona, Spain with hybrid work format and partial remote work allowed.

Company

hirify.global is a global leader in quick commerce and food delivery, operating in over 70 countries and pioneering next-generation e-commerce solutions.

What you will do

  • Design and build resilient ETL/ELT pipelines for image data ingestion, cleaning, and validation.
  • Collaborate with Data Scientists to create and maintain accurately labeled datasets for model calibration.
  • Develop production-grade feature pipelines to avoid training/serving skew in ML models.
  • Build automated infrastructure for model training cycles focusing on data versioning and reproducibility.
  • Contribute to the long-term vision of image recognition products while delivering measurable business impact.

Requirements

  • Bachelor's degree in computer science, information systems, mathematics, statistics, or related field.
  • 3+ years of experience as Data Engineer or Machine Learning Engineer.
  • Advanced SQL and distributed processing frameworks knowledge.
  • Strong Python coding skills and systems-level problem-solving abilities.
  • Location: Must be able to work in Barcelona, Spain (hybrid work with some remote).
  • English: Proficient (B2) required.

Nice to have

  • PhD in AI, Machine Learning, or related field.
  • Experience in Computer Vision and ML model production deployment.
  • Familiarity with CI/CD pipelines and ML engineering tools like Metaflow, MLflow, Airflow, Grafana.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).

Culture & Benefits

  • Monthly Glovo credits and discounted gym memberships.
  • Extra time off, flexible work from home two days a week, and up to three weeks working from anywhere annually.
  • Enhanced parental leave and office-based nursery.
  • Online therapy and wellbeing benefits.
  • Inclusive and diverse work environment encouraging authentic self-expression.

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