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.
About the Role
We're seeking a motivated Junior Data Engineer to join our Data Squad. You'll work on building and maintaining robust data pipelines, supporting analytics initiatives, and contributing to our data infrastructure that powers business intelligence, product analytics, and reporting across the organization.
What You'll Do
Data Pipeline Development & Maintenance
Build and maintain ETL/ELT pipelines to ingest data from various sources (Amplitude, Braze, Stripe, Airbyte, and other third-party platforms)
Develop data transformations using SQL and Python to support analytics and reporting needs
Work with dbt to create and maintain data models in our data warehouse
Support streaming data pipelines using Kafka & Snowplow
Data Quality & Monitoring
Implement data quality checks and validation processes
Monitor pipeline performance and troubleshoot data issues
Contribute to anomaly detection and alerting systems
Participate in data reconciliation efforts
Collaboration & Support
Work closely with Analytics Engineers, Analysts, and Business stakeholders to understand data requirements
Support ad-hoc data requests and analysis
Document data pipelines, transformations, and technical processes
Participate in code reviews and contribute to best practices
Technical Skills Required
Must Have:
Strong SQL skills (complex queries, window functions, CTEs, optimization)
Python programming experience
Understanding of data warehousing concepts and dimensional modeling
Experience with version control (Git)
Basic understanding of ETL/ELT processes
Analytical mindset and attention to detail
Nice to Have:
Experience with dbt (data build tool)
Familiarity with cloud data warehouses (Redshift, Snowflake, or BigQuery)
Docker and containerization knowledge
Experience with data orchestration tools (Airflow, Dagster, or similar)
Exposure to event-driven architectures or streaming data (Kafka or Snowplow)
Experience with BI tools (Looker, Tableau, or similar)
Knowledge of data modeling best practices
What We're Looking For
0-2 years of experience in data engineering, analytics engineering, or related field
Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related field (or equivalent practical experience)
Strong problem-solving skills and ability to debug complex data issues
Good communication skills and the ability to explain technical concepts to non-technical stakeholders
Self-starter with eagerness to learn and grow in data engineering
Team player who thrives in a collaborative environment
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, fresh fruit, and free lunch of your choice.
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, Friday 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. The hiring process for our Data Squad is the following steps:
CV application review - We will review it as quickly as possible
Let’s chat - Quick chat with our recruiter about your experience and the role
Culture fit interview - On-site or video call with the Engineering Manager
Technical questions - Technical call with the Data Squad
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.
