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For Companies 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, private health insurance, flexible hours, and a personal training budget.
- Why this job: Make a real impact in data engineering while working with innovative technologies.
- Qualifications: 0-2 years experience in data engineering, strong SQL and Python skills required.
- Other info: Collaborative environment with great career growth and fun team activities.
The predicted salary is between 28800 - 48000 £ 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.
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
- 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
- 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
Data Engineer in London employer: Chegg Busuu
Contact Detail:
Chegg Busuu Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨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 in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills and experiences that match the Data Engineer role. We want to see your strong SQL skills and Python experience shine through, so don’t hold back!
Showcase Your Projects: If you've worked on any relevant projects, whether in school or on your own, include them! We love seeing practical applications of your skills, especially with data pipelines and transformations.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Chegg Busuu
✨Know Your Data Tools
Familiarise yourself with the specific tools mentioned in the job description, like SQL, Python, and dbt. Brush up on your skills and be ready to discuss how you've used these technologies in past projects or coursework.
✨Showcase Your Problem-Solving Skills
Prepare to discuss examples of complex data issues you've encountered and how you resolved them. Highlight your analytical mindset and attention to detail, as these are crucial for a Data Engineer role.
✨Understand the Business Context
Research Busuu and its mission in the EdTech space. Be prepared to explain how your work as a Data Engineer can support their vision of empowering people through languages and enhancing user experience.
✨Practice Communication
Since you'll need to explain technical concepts to non-technical stakeholders, practice articulating your thoughts clearly. Consider mock interviews with friends or mentors to refine your communication style.
