Skill needed: SQL, Python.
Employer: Busuu
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 RoleWe'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 DoData Pipeline Development & MaintenanceBuild 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 needsWork with dbt to create and maintain data models in our data warehouseSupport streaming data pipelines using Kafka & SnowplowData Quality & MonitoringImplement data quality checks and validation processesMonitor pipeline performance and troubleshoot data issuesContribute to anomaly detection and alerting systemsParticipate in data reconciliation effortsCollaboration & SupportWork closely with Analytics Engineers, Analysts, and Business stakeholders to understand data requirementsSupport ad-hoc data requests and analysisDocument data pipelines, transformations, and technical processesParticipate in code reviews and contribute to best practicesTechnical Skills RequiredMust Have:Strong SQL skills (complex queries, window functions, CTEs, optimization)Python programming experienceUnderstanding of data warehousing concepts and dimensional modelingExperience with version control (Git)Basic understanding of ETL/ELT processesAnalytical mindset and attention to detailNice to Have:Experience with dbt (data build tool)Familiarity with cloud data warehouses (Redshift, Snowflake, or BigQuery)Docker and containerization knowledgeExperience 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 practicesWhat We're Looking For0-2 years of experience in data engineering, analytics engineering, or related fieldBachelor'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 issuesGood communication skills and the ability to explain technical concepts to non-technical stakeholdersSelf-starter with eagerness to learn and grow in data engineeringTeam player who thrives in a collaborative environmentAt 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 schemeThere 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 careersWe like to support our teams with their work-life balance so we offer flexible working hours and a hybrid model of workingWe offer enhanced maternity and paternity leaveStaying 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 eventsWhat happens nextWe 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 possibleLet’s chat - Quick chat with our recruiter about your experience and the roleCulture fit interview - On-site or video call with the Engineering ManagerTechnical questions - Technical call with the Data SquadOur 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.