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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