Senior Analytics Engineer (Spain)

Busuu; Cartagena; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

Busuu, a leading EdTech company, seeks a Senior Analytics Engineer to enhance data-driven decision-making across its teams. You'll design scalable data models, optimize pipelines, and communicate insights effectively, contributing to AI-enhanced innovations. Enjoy a flexible, inclusive workplace with valuable benefits including health insurance and personal training budgets.

Servicios

Free breakfast, snacks, and fresh fruit

Two free lunches per week

Private Health Insurance scheme

Personal training budget

Flexible working hours

Enhanced maternity and paternity leave

Team social activities

Formación

• Strong foundation in data modeling with DBT.
• Experience in writing clean SQL and building data transformations.
• Excellent communication skills for non-technical stakeholders.

Responsabilidades

• Design and maintain clean, scalable, and well-documented data models.
• Optimize data pipelines to balance performance and reliability.
• Ensure data quality through validation and testing.

Conocimientos

Data modeling

SQL

Communication

Data validation

AI

Herramientas

DBT

AWS

Redshift

Descripción del empleo

Job Description

Joining Busuu means being part of one of the top EdTech companies in the world, a multiple award-winner recognized 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, a NYSE listed company and the leading student-first connected learning platform.

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. You’ll 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. We’re also actively using AI tools to enhance development workflows and exploring new AI-powered solutions to improve our product experience and internal efficiency. You’ll have the opportunity to contribute to this innovation by building the data foundations that support our AI initiatives.

What You’ll Do

• Design and maintain clean, scalable, and well-documented data models
• Ensure data quality through rigorous validation and testing
• Optimize 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

Our stack

We use AWS, Redshift, DBT, as our main tools, supported by several others. We're pragmatic and open-minded, investing in new tools when needed. We also integrate modern AI tools such as Cursor into our workflows to boost quality, speed up development, and free up time for innovation.

You’ll thrive in this role if you

• Have a strong foundation in data modeling and experience with DBT
• 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

Benefits

• Well-equipped, centrally located offices with free breakfast, snacks, and fresh fruit
• Two free lunches per week at our office from a wide selection of local restaurants
• Private Health Insurance scheme
• Personal training budget for professional growth
• Flexible working hours and hybrid work model
• Enhanced maternity and paternity leave
• Team social activities including lunches, socials, and company events

What Happens Next

We aim for a simple, quick hiring process:

• CV application review
• Quick chat with our team about your experience and the role
• Interview with the Hiring Manager
• Technical Interview
• Cultural interview with colleagues/stakeholders

Our platform and workplace embrace diversity and inclusion, providing a safe and judgment-free environment where everyone’s voice is valued. If that sounds like you, join us. We look forward to hearing from you.