🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
About Unbabel Unbabel's language operations platform blends advanced artificial intelligence with human editors to deliver fast, efficient, and high-quality translations that get smarter over time. Unbabel integrates seamlessly across multiple channels, enabling enterprises to deliver consistent multilingual support from within their existing workflows. Today, Unbabel operates as part of as part of TransPerfect, a global leader in language and technology solutions. What’s the opportunity about? Unbabel is looking for a curious and motivated Data Engineering Intern to join our Data Platform team. As we deliver seamless, scalable translation solutions for enterprise partners worldwide, you'll gain hands-on experience designing and building the data platform that powers Unbabel's core products and analytics. This is a unique opportunity to work with large-scale, real-world language and translation data in a production environment — learning how it's ingested, processed, stored, and analyzed at scale. You'll be part of a friendly, international, and diverse engineering team committed to your growth, with supportive mentors to guide you through modern data engineering workflows and cloud data platforms. Want exposure to real-world data pipelines, distributed systems, and cloud infrastructure? Here's where you can build those skills while making a meaningful impact. What you’ll get out of it: Hands-on experience with production-grade, large-scale data in a real-world environment. Mentorship and exposure to modern data engineering practices and cloud platforms The chance to contribute ideas and make a tangible impact on products used by global enterprises A collaborative, diverse team culture where your growth and success actually matter What you’ll work on: Design, build, and maintain batch and streaming ETL pipelines in a production environment Develop and test high-quality code for ETL pipelines (Python and Spark) Work with structured and unstructured data from multiple sources (mainly MongoDB and Postgres) Apply data warehousing techniques to a modern cloud-based stack (Databricks) Help monitor, test, and validate data to maintain high standards of data quality Collaborate with data engineers, data analysts and other technical teams to translate business requirements into data solutions Participate in code reviews and team discussions, picking up best practices in code quality and architecture Troubleshoot and debug data systems, and document your work to improve team processes
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.