Data Engineer

Summary

Join Cabify's Marketplace Information team as a Data Engineer, leveraging your software development skills to design and implement data solutions. Collaborate with experienced engineers to build scalable data pipelines and ETL processes using Python, Scala, or Go on GCP or AWS. Manage and optimize data storage solutions, including relational, columnar, and NoSQL databases. Contribute to continuous improvement by evaluating and implementing new tools and technologies. Expand your knowledge through continuous learning opportunities. This role offers excellent salary conditions, recharge days, flexible work environment, remote work options, team events, and personal development programs.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field
• 2-4 years of experience in software engineering, with a keen interest in data engineering
• Proficiency in at least one programming language (Python, Scala, or Go)
• Basic understanding of cloud platforms such as GCP or AWS
• Familiarity with data processing frameworks and orchestration tools (e.g., Apache Beam, Airflow)
• Strong problem-solving skills and the ability to work collaboratively in a team environment
• Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders

Responsibilities

• Data Pipeline Development: Assist in the design, development, and maintenance of scalable data pipelines and ETL processes to support various business needs
• Software Development: Utilize your software engineering skills to write clean, efficient, and maintainable code in languages such as Python, Scala, or Go
• Cloud Infrastructure: Support the management and optimization of cloud-based data infrastructure on platforms like GCP or AWS
• Collaboration: Work collaboratively with cross-functional teams, including data scientists and software engineers, to integrate data solutions and support machine learning initiatives
• Data Management: Help manage and optimize data storage solutions, including relational, columnar, and NoSQL databases
• Continuous Improvement: Participate in the evaluation and implementation of new tools and technologies to enhance data processing and infrastructure efficiency
• Learning and Development: Engage in continuous learning opportunities to expand your knowledge in data engineering and software development

Benefits

• Excellent Salary conditions (38-52K gross annually)
• Recharge days! (10 Free Fridays annually)
• Our office is located in Madrid (but we have remote positions)
• Flexible work environment & hours
• 3 weeks full remote six-monthly
• Regular team events
• Cabify staff free rides
• Personal development programs based on our career paths
• Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills