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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  5  1  0
Category: Engineering Jobs

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

Region: Europe
Country: Spain

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