Data Engineering Intern
Unbabel
Data: há 1 dia
Cidade: Lisboa, Lisboa
Tipo de contrato: Estágio
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.com, and Under Armour to communicate effortlessly with customers around the world, no matter what language they speak.
What’s the opportunity about?
Unbabel is looking for a Data Engineering Intern to join our team. As a Data Engineering Intern, you’ll help design, build, and maintain the data infrastructure and pipelines that support Unbabel’s core products and analytics. This is a unique opportunity to learn how large-scale language and translation data is processed, stored, and analyzed in a real-world, production environment.
Key Details:
Unbabel is an Equal Opportunity Employer. We do not discriminate based on ethnicity, religion, colour, sex, gender identity, sexual orientation, age, or mental disability. Not only do we not discriminate, but we celebrate differences. The positions open at Unbabel are also intended for people with disabilities under DL no. 4/2019. If for whatever reason you need us to make reasonable adjustments and adaptations to our recruitment process, please let your recruiter know.
(We are not accepting candidates coming from recruitment agencies at this moment)
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.com, and Under Armour to communicate effortlessly with customers around the world, no matter what language they speak.
What’s the opportunity about?
Unbabel is looking for a Data Engineering Intern to join our team. As a Data Engineering Intern, you’ll help design, build, and maintain the data infrastructure and pipelines that support Unbabel’s core products and analytics. This is a unique opportunity to learn how large-scale language and translation data is processed, stored, and analyzed in a real-world, production environment.
Key Details:
- Location: Hybrid in Lisbon (at least 2x per week in the office)
- Duration: 6 months
- Salary: €1,000/month gross
- Working language: English
- Collaborate with data engineers and other technical teams to understand business requirements and deliver data solutions.
- Assist in building, testing, and maintaining data pipelines (extraction, transformation, loading—ETL) and data integrations.
- Help optimize the performance and reliability of our data workflows.
- Contribute to the documentation of data architecture, pipelines, and processes.
- Learn to work with structured and unstructured data from multiple sources.
- Support data quality efforts—including monitoring, testing, and validation.
- Participate in daily team standups, sprint planning, and code reviews.
- Grow your skills in modern data tools, programming, and cloud technologies.
- 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.
- 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).
- Professional Growth and Impact Opportunities: 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.
- Flexible Working hours: At Unbabel, working hours are flexible. You can adjust them as it best suits you and your work needs.
- Parking Spots: The office has a garage with 20 parking spaces for any Unbabeler to use. It works in a “first-come, first-served” way.
- Mental Health Support: An 'in-house' psychologist to support the mental well-being of all Unbabelers.
- Daily Breakfast: Every day from 8h30 am to 10h30 am, a small breakfast buffet is served in Tower Lisbon’s kitchen area.
- Dog-friendly Office: Dogs are welcome in our office. Just be aware that the dog must be sociable with humans and other dogs, and well behaved.
- Interview with Recruiter
- Technical Interview with 2 Engineers
- Interview with 2 Engineering Managers
- Interview with VP of Engineering
Unbabel is an Equal Opportunity Employer. We do not discriminate based on ethnicity, religion, colour, sex, gender identity, sexual orientation, age, or mental disability. Not only do we not discriminate, but we celebrate differences. The positions open at Unbabel are also intended for people with disabilities under DL no. 4/2019. If for whatever reason you need us to make reasonable adjustments and adaptations to our recruitment process, please let your recruiter know.
(We are not accepting candidates coming from recruitment agencies at this moment)
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