Requirements: English
Company: Busuu
Region: Madrid , Community of Madrid
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.
Busuus vision is to empower people through languages. We are the worlds 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 Senior Analytics Engineer important at Busuu?
Busuu is a deeply data-driven business. Every team, from Product to Marketing to Finance, relies on access to clean, timely, and actionable data. As a Senior Analytics Engineer, you will play a critical role in structuring that data, ensuring it''s accessible, governed, and empowers teams across the business to make better decisions faster.
Youll sit at the intersection of Data Engineering and Product Analytics, owning the transformation layer that turns raw data into trusted, scalable models for self-serve insights and operational dashboards.
Were also actively using AI tools to enhance development workflows and exploring new AI-powered solutions to improve our product experience and internal efficiency. As an Analytics Engineer, youll have the opportunity to contribute to this innovation by building the data foundations that support our AI initiatives.
What Youll Do
- Design and maintain clean, scalable, and well-documented data models that serve as sources of truth for analytics and reporting
- Act as the bridge between data engineering and data consumers, ensuring data is well-governed, accessible, and aligned to business needs.
- Ensure data quality through rigorous validation, and testing
- Optimise and maintain data pipelines to balance performance, reliability, and cost.
- Communicate clearly across teams, proactively sharing updates, writing documentation, and surfacing trade-offs or blockers.
- Contribute to a culture of learningreviewing code, sharing knowledge, and helping raise the bar on best practices across the data team.
Our stack
We use AWS, Redshift, dbt, as our main tools, supported by several others. We''re pragmatic and open-minded, and invest in new tools when needed. We also integrate modern AI tools such as Cursor into our workflows to boost quality, speed up development, and avoid the boring work to free up time for innovation.
Youll thrive in this role if you;
- Have a strong foundation in data modeling and a passion for enabling others through trusted data.
- Understand how to write clean, efficient SQL and build production-grade data transformations.
- Value autonomy and ownership, but know when to collaborate.
- Have excellent communication skills, especially when explaining data choices to non-technical stakeholders.
- Are excited by scale, complexity, and the opportunity to make an impact at a global level.
- Are curious about AI and want to contribute to innovative, data-driven product development.
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
- Lets 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