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- Tasks: Build and maintain data pipelines, support analytics, and enhance our data infrastructure.
- Company: Join Busuu, a leading EdTech company transforming language learning for millions.
- Benefits: Enjoy free meals, health insurance, training budgets, and flexible working hours.
- Why this job: Make an impact in data engineering while collaborating with a passionate team.
- Qualifications: Strong SQL skills, Python experience, and a problem-solving mindset.
- Other info: Dynamic work environment with opportunities for growth and social activities.
The predicted salary is between 28800 - 48000 ÂŁ per year.
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
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
- 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.
Data Engineer employer: Busuu
Contact Detail:
Busuu Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Busuu on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your data engineering prowess. This can really set you apart during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL and Python skills, especially focusing on complex queries and data transformations. Being sharp on these will help you ace those technical interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Busuu family.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your SQL and Python expertise, and don’t forget to mention any relevant projects or coursework!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data engineering and how you can contribute to our mission at Busuu. Be genuine and let your personality shine through!
Showcase Your Projects: If you've worked on any data-related projects, whether in school or on your own, make sure to include them. We love seeing practical applications of your skills, especially with ETL processes or data pipelines.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Busuu
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss complex queries and data transformations, as well as any experience you have with ETL/ELT processes. Practising coding problems can also help you feel more confident.
✨Understand the Company’s Vision
Familiarise yourself with Busuu's mission to empower people through languages. Knowing how your role as a Data Engineer contributes to this vision will show your enthusiasm and alignment with their goals. It’s all about connecting your skills to their mission!
✨Prepare for Technical Questions
Expect technical questions related to data pipelines, data quality checks, and monitoring. Brush up on your knowledge of tools like dbt, Kafka, and cloud data warehouses. Being able to explain your thought process clearly will impress the interviewers.
✨Show Your Collaborative Spirit
Since the role involves working closely with Analytics Engineers and Business stakeholders, be prepared to discuss examples of teamwork from your past experiences. Highlight your communication skills and how you’ve successfully collaborated in a team setting.