Data Engineer

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.

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.

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

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

• 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

• 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

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.

#LI-Hybrid