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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 and strong SQL and Python skills.
- Other info: Collaborative environment with great career growth and social activities.
The predicted salary is between 30000 - 42000 £ 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
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.
Data Engineer employer: Chegg, Inc.
Contact Detail:
Chegg, Inc. 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 people in the industry, attend meetups, and connect with fellow data enthusiasts on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and common data engineering questions. Practice explaining your thought process clearly, as communication is key when working with non-technical stakeholders.
✨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 our awesome team at Busuu!
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 any relevant projects you've worked on. We want to see how you can contribute to our data squad!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you align with Busuu's mission. Share specific examples of your work and how it relates to the responsibilities outlined in the job description.
Show Off Your Technical Skills: Don’t shy away from showcasing your technical abilities! Mention your experience with ETL processes, data warehousing, and any tools like dbt or Kafka. We love seeing candidates who are eager to dive into the tech side of things.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Chegg, Inc.
✨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 or coursework.
✨Showcase Problem-Solving Skills
Prepare to share examples of how you've tackled complex data issues. Think about a time when you debugged a problem or optimised a data pipeline, and be ready to explain your thought process clearly.
✨Understand the Business Context
Research Busuu and its mission in the EdTech space. Be prepared to discuss how your role as a Data Engineer can contribute to their vision of empowering people through languages, and how data plays a crucial role in that.
✨Ask Insightful Questions
Prepare thoughtful questions for your interviewers about the team dynamics, current projects, or challenges they face. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
