We're looking for an enthusiastic Junior Data Engineer who is passionate about data pipelines and excited by high-performance engineering challenges.
🎯 The role
You will join a core engineering team responsible for making complex data available to real-time bidding platforms and machine learning models. You will help build robust data pipelines, deliver high-quality features, and solve complex engineering challenges while developing your skills through knowledge sharing and collaboration.
🎯 Responsibilities
- Design, develop, and implement data features for machine learning models
- Implement complex data ingestion services and other short-cycle engineering tasks
- Write clean, efficient, and testable code
- Test your work locally and in a staging environment
- Monitor deployments and help maintain the stability, reliability, and performance of production systems
- Participate in code reviews and contribute to technical and architectural decisions
- Collaborate with the team in an agile environment, including planning and progress reporting
- Take ownership of the features you build and help operate them in production
🛠️ Requirements
- Bachelor's degree in Computer Science or a related technical field
- 1–2 years of experience in software engineering or data engineering
- Knowledge of SQL
- Knowledge of Python or Java
- Strong interest in big data, machine learning, and data engineering
- Excellent written and spoken English communication skills
➕ Nice to have
- Knowledge of Scala
- Experience with key-value stores and in-memory databases, such as Redis or Memcached
- Familiarity with cloud environments, particularly AWS
- Experience with Airflow workflows
- Experience working with big data
- Experience with Spark
🧰 Technology stack
- Languages: Python, Scala, Bash
- Frameworks: Spark
- Databases: MySQL, Redis
- Cloud and DevOps: AWS, Jenkins, Docker, Airflow
- Tools: Git, Jira, Notion
🤗 We offer
- Opportunity to work in a complex engineering environment and gain valuable experience
- Opportunities to make a direct contribution through assigned projects
- Compensation package
- Flexible working hours
- Professional development through a LinkedIn Learning subscription and other training opportunities
- Monthly meal voucher allowance through Ticket Restaurant
- Monthly gym allowance with a choice between DiR and Wellhub
- Regular team events and team-building activities
- Access to recreational amenities, including a ping-pong table and arcade machine
HybridBarcelona, SpainApache AirflowSparkPythonData EngineeringCloud Platform
Ver oferta