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, training budgets, and flexible working hours.
- Other info: Dynamic work environment with opportunities for growth and social activities.
- 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.
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. 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
Busuu is an exceptional employer that values its employees by fostering a collaborative and inclusive work culture. With a focus on professional development, you will have ample opportunities to grow your skills in a dynamic environment while working alongside a diverse team. Located in a vibrant city, Busuu offers unique advantages such as flexible working arrangements and a commitment to employee well-being, making it a rewarding place to build your career in customer support.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Busuu!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Busuu.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Busuu.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Busuu, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Busuu, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Busuu. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Busuu
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Busuu!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
