Senior Data Engineer

🕒 March 31

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Lodgify

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

💰 $30M Series B on 2022-11

SaaS • Hospitality

Lodgify is a comprehensive vacation rental property management software company that helps property owners and managers streamline their operations. It offers features such as a reservation system, unified inbox, guest management, task management, automation, reporting and analytics, and owner statements. Lodgify supports integrations with major booking platforms like Airbnb, Booking. com, Vrbo, and Expedia, providing a channel manager to sync calendars, rates, and reservations. It also enables users to create custom websites with a booking widget, supporting platforms like WordPress, Squarespace, Wix, and more. With additional tools like dynamic pricing, a mobile app, and AI-powered automation, Lodgify aims to increase productivity and enhance guest experiences for short-term rental businesses. The company provides free onboarding, personalized support, and a variety of resources to ensure a smooth transition to their platform, appealing to individual hosts, property managers, and various types of accommodations.

📋 Description

• 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 optimise 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 visualisation and operational syncing (Hightouch) • Optimise performance and cost-efficiency of the data platform • Mentor team members and promote data engineering best practices.

🎯 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.

🏖️ 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! • Work in a dynamic environment with offices fully equipped for fun with ping pong, foosball, surrounded by an international team of +60 nationalities.