Senior Data Engineer

• Start by onboarding on our full Data Stack, both technically (GCP, streaming, big data) and from a business logic perspective
• Take ownership of end-to-end data pipelines, ensuring scalability, reliability, and maintainability
• Continuously improve our data stack, proposing technical evolutions, monitoring infrastructure performance, and optimizing costs
• Contribute to the growth and mentoring of junior profiles, providing guidance, sharing best practices, and supporting their development within the team
• Design and optimize data models tailored to solve complex analytical and business requirements
• Ensure data quality through cleansing, unit testing, and embedded DQA processes
• Communicate effectively with technical and non-technical stakeholders, explaining solutions clearly and constructively
• Demonstrate autonomy and decision-making skills, moving projects forward while keeping stakeholders informed
• Take a key part in building and maintaining the Data Engineering roadmap, covering infrastructure, robustness, and business-driven initiatives

• Master’s degree in Engineering, Computer Science, or equivalent
• 4+ years of proven experience in Big Data systems architecture and data pipelines
• Experience with both SQL and NoSQL databases is required
• Strong proficiency in Python
• Proven experience with cloud platforms (preferably GCP) and their data services
• Hands-on experience setting up and monitoring CI/CD pipelines
• Proficient with orchestration tools (ideally Airflow)
• Strong communication skills
• Analytical and problem-solving mindset with attention to detail
• Autonomous, proactive, and always looking for opportunities to improve solutions and processes
• A team player who enjoys collaborating in a fast-paced and creative environment

Familiarity with DBT is a plus