Senior Data Engineer

Summary

Join Lodgify, a fast-growing vacation rental software company, as a Senior Data Engineer. You will design, implement, and optimize data pipelines and infrastructure, ensuring data-driven decisions. Responsibilities include building scalable data pipelines, implementing data quality checks, developing data models using dbt, troubleshooting data issues, and collaborating with stakeholders. You will need 7+ years of data engineering experience with modern data stack tools, advanced SQL, proficient Python, and experience with cloud platforms. The ideal candidate will also possess strong analytical and troubleshooting skills and the ability to communicate technical concepts effectively. Lodgify offers various benefits, including remote work flexibility, paid vacation, health insurance, meal allowances, flexible remuneration options, home-office setup allowance, Spanish classes, a referral program, and fun team events.

Requirements

• 7+ years in data engineering, with significant hands-on experience using modern data stack tools
• Advanced SQL, proficient Python for data engineering tasks, strong data modeling and warehousing fundamentals
• Proven experience with tools like orchestration (e.g., mage.ai , Airflow), dbt, ELT solutions (e.g., Fivetran, Airbyte)
• Experience with a cloud platform (GCP, AWS, Azure)
• Track record of building and maintaining reliable, end-to-end data pipelines in production
• Ability to work effectively with cross-functional teams and clearly communicate technical concepts
• Strong analytical and troubleshooting skills

Responsibilities

• Design, build, and maintain scalable data pipelines and infrastructure using our core data stack
• Implement data quality checks, monitoring, and contribute to data governance practices
• Develop and optimize data models using dbt for analytics and operational use cases
• Troubleshoot data issues, potentially assisting with tracking implementation problems
• Ensure data infrastructure supports downstream consumers, including analytics and potentially future AI/ML initiatives
• Collaborate with analysts and stakeholders to ensure data accessibility for visualization and operational syncing (Hightouch)
• Optimize performance and cost-efficiency of the data platform
• Mentor team members and promote data engineering best practices

Preferred Qualifications

• Knowledge of JavaScript/Frontend for tracking and troubleshooting
• Experience with BI/visualization tools
• Familiarity with Machine Learning concepts and the data requirements for training and deploying models
• Familiarity with event-driven architectures or data privacy regulations (GDPR)
• SaaS or Travel/Hospitality industry experience

Benefits

• The freedom to work from home any day that works for you
• Enjoy 25 working days of paid vacation and Jornada Intensiva in August
• Top-notch Cigna health insurance (includes travel insurance, dental plan, psychologist and we cover pre-existing conditions too)
• Save on meals! Enjoy a monthly allowance of 150€ and, in addition, a Flexible Remuneration plan with up to 70€. Plus, enjoy a 50% discount on Ametller’s prepared dishes to level up your mealtime!
• Flexible Remuneration options for your transportation needs
• Elevate your workspace. We provide a home-office setup allowance to ensure you have everything you need for a productive and comfortable work environment
• Free Spanish classes
• Boost your earning potential with our referral program that offers paid compensation
• Fuel your day with a daily office breakfast buffet and join our monthly events like football tournaments, wine tastings, hikes, kayaking and more!