Data Engineer
Madrid - Busuu, Spain
Chegg
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Job Description
Joining Busuu means being part of one of the top EdTech companies in the world, a multiple award-winner recognised for its innovation and impact in language learning.
Busuu’s vision is to empower people through languages. We are the world’s largest online community for language learning, with 120+ million registered users. We make learning a language easy by combining AI-powered courses with feedback from our global community of native speakers and lesson content designed for real life.
Busuu is part of the global Chegg family. Chegg is the leading student-first connected learning platform and a NYSE listed company.
Why is a Data Engineer important at Busuu?
Everything we do at Busuu runs on data. From delivering real-time product insights to enabling AI-powered learning experiences. As a Senior Data Engineer, you’ll be at the heart of this system, building scalable, secure, and efficient infrastructure that supports millions of learners around the world.
You’ll take ownership of the systems that process and transform our data at scale, ensuring it’s reliable, performant, and accessible for analytics, product development, and machine learning use cases. You’ll partner with engineers, analysts, and stakeholders across the business to continuously evolve our platform as we grow.
We’re also embracing AI to supercharge our engineering workflows and unlock new product capabilities. As part of the data engineering team, you’ll help lay the technical foundation that supports this innovation.
What you’ll do
Design and maintain scalable data pipelines using tools like Kinesis, Lambda, and Glue, supporting both batch and real-time processing
Architect efficient, secure, and cost-effective data infrastructure using AWS services (e.g., Redshift, S3, RDS)
Build modular, reusable ELT frameworks and manage orchestration with tools like Airflow and Step Functions
Support the setup and maintenance of our data lake, implementing lifecycle policies, partitioning, and governance with Lake Formation and IAM
Continuously monitor, test, and optimize pipeline performance and cost using CloudWatch, X-Ray, and other observability tools
Collaborate closely with stakeholders to understand requirements and deliver trustworthy, timely, and well-documented datasets
Champion engineering best practices, including CI/CD, testing, and code reviews, within the data team
Contribute to evolving our internal tooling and frameworks, and mentor other engineers across the team
Our stack
We work with AWS, Redshift, Kinesis, Glue, Lambda, Docker, Python, and more. We are pragmatic in our choices and open to new tools if they help us ship faster, scale better, or operate more efficiently. We also integrate AI tools like Cursor to boost productivity and reduce repetitive work.
You’ll thrive in this role if you
Have a solid background in building scalable, secure data infrastructure
Understand how to work with event-driven and batch architectures
Are comfortable writing Python for data pipelines and automation
Enjoy working closely with stakeholders to understand and solve real problems
Take pride in delivering high-quality, well-documented, and maintainable solutions
Are passionate about continuously learning and improving
Are excited by the idea of supporting AI innovation through rock-solid data systems
At Busuu we want to ensure that you have access to some great benefits:
Our centrally located offices are well-equipped with free breakfast, plenty of snacks and fresh fruit
You get 2 free lunches per week at our office that you can choose out of a wide selection of restaurants in the area
Busuu offers a great Private Health Insurance scheme
There is a personal training budget just for you, so you can learn more in your field to ensure our employees can continuously grow and progress in their careers
We like to support our teams with their work-life balance so we offer flexible working hours and a hybrid model of working
We offer enhanced maternity and paternity leave
Staying connected as a team is very important to us, so we have lots of social activities for you to join such as team lunches, Thursday socials, quarterly team, and company events
What happens next
We aim to have a simple and speedy hiring process and we want to make sure that we are right for you as much as the other way around.
CV application review - We will review it as quickly as possible
Let’s chat - Quick chat with our team about your experience and the role
Interview - With the Hiring Manager
Interview - Technical
Interview - Cultural with other colleagues/stakeholders
Our platform is for everyone, and so is our workplace. We pride ourselves on embracing our differences, whether they're cultural, racial, religious, or otherwise. This means each one of us comes to work knowing that we have a voice – and a safe, judgement-free zone to speak freely.
If you like the sound of that, join us. We'd love to hear what you have to say.
#LI-Hybrid
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS CI/CD Data pipelines Docker ELT Engineering Kinesis Lake Formation Lambda Machine Learning Pipelines Python Redshift Step Functions Testing
Perks/benefits: Career development Flex hours Health care Parental leave Snacks / Drinks Team events
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