At a Glance
- 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, flexible hours, and a personal training budget.
- Other info: Collaborative culture with plenty of social activities and career growth opportunities.
- Why this job: Make a real impact in data engineering while working with innovative technologies.
- Qualifications: 0-2 years experience in data engineering and strong SQL skills required.
The predicted salary is between 30000 - 40000 € 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.
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 in London employer: Busuu
Busuu is an exceptional employer that prioritises employee growth and well-being, offering a vibrant work culture enriched with social activities and flexible working arrangements. With a strong focus on professional development, including a personal training budget and comprehensive health benefits, employees are empowered to thrive in their careers while enjoying a supportive and inclusive environment in the heart of the city.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Get your networking game on! Connect with people in the industry, especially those already at Busuu. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills in real-time! If you get the chance, be ready to demonstrate your SQL and Python prowess during interviews. Practice coding challenges or data problems to impress the hiring team.
✨Tip Number 3
Prepare for those technical questions! Brush up on data warehousing concepts and ETL processes. Being able to explain your thought process clearly will show you're not just a coder, but a problem-solver too.
✨Tip Number 4
Don't forget to 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 being part of the Busuu family.
We think you need these skills to ace Data Engineer in London
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 tools you've worked with!
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. Share specific examples of your work that align with the job description.
Show Off Your Problem-Solving Skills:In your application, give us a glimpse of your analytical mindset. Mention any challenges you've faced in data projects and how you tackled them. We love seeing how you think!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Busuu
✨Know Your Data Tools
Familiarise yourself with the specific tools mentioned in the job description, like SQL, Python, and dbt. Be ready to discuss your experience with these technologies and how you've used them in past projects.
✨Showcase Problem-Solving Skills
Prepare examples of complex data issues you've encountered and how you resolved them. This will demonstrate your analytical mindset and ability to debug, which are crucial for a Data Engineer role.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You'll likely need to collaborate with non-technical stakeholders, so showing that you can bridge that gap is key.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data infrastructure and analytics initiatives. This shows your genuine interest in the role and helps you understand how you can contribute effectively.
