Junior Data Engineer

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