Must Have
Currently pursuing or recently completed a degree in Computer Science, Data Engineering, Software Engineering, or a related field, or equivalent practical experience.
Basic programming skills—preferably Python (or similar language).
Interest in data engineering, databases, cloud services, or big data.
Understanding of fundamental data structures and concepts (e.g. tables, schemas, SQL or basic database querying).
Curiosity and willingness to learn best practices in data engineering, data processing, and analytics.
Ability to communicate in English and work collaboratively in a team.
Eagerness to ask questions, seek feedback, and grow as an engineer.
Nice to Have
Exposure to data pipeline tools or frameworks (e.g., Airflow, dbt, Luigi).
Understanding of cloud platforms (e.g., AWS, GCP, Azure).
Experience with data visualization or reporting (e.g., Tableau, Power BI, Looker).
Previous participation in team projects (university, personal, open-source).
Why Join Us?
Hands-on experience working with large-scale, real-world data in a production environment.
Learn modern data engineering workflows and cloud data platforms with supportive mentors.
Friendly, international, and diverse engineering team committed to your growth and success.
Opportunities to make a meaningful impact and contribute ideas.
About Unbabel
The company’s language operations platform blends advanced artificial intelligence with human editors, for fast, efficient, high-quality translations that get smarter over time. Unbabel integrates seamlessly in any channel so that agents can deliver consistent multilingual support from within their existing workflows. Making it easy for enterprises to grow into new markets and build seamless customer experiences in every corner of the world.
Based in San Francisco, California, Unbabel works with leading customer support and marketing teams at brands such as Facebook, Microsoft, Booking , and Under Armour to communicate effortlessly with customers around the world, no matter what language they speak.
