⭐ Who we are

Lodgify is a fast-growing scale-up company leading the vacation rental industry. Backed by $30M in funding, our platform empowers property owners and managers worldwide to efficiently manage and grow their business through technology.

Headquartered in sunny Barcelona, we're now a team of 380+ people representing over 60 nationalities, united by a passion for transforming the future of short-term rentals.

⭐ Role Overview

Lodgify is seeking an experienced Senior Data Engineer to join our growing team and play a vital role in building and managing our modern data platform.

This role involves designing, implementing, and optimizing data pipelines and infrastructure, enabling data-driven decisions across the company.

⭐ How will you make an impact?

• 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.

⭐ What makes you a great fit?

• 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.

⭐ How can you earn extra bonus points?

• Knowledge of JavaScript/Frontend for tracking and troubleshooting

• Experience with BI/visualisation 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.

Why you’ll love us:

You’ll be part of a growing, dynamic company with a truly international team. At Lodgify, we are full of contagious energy, hard work, and passion for what we do. We celebrate diversity and are proud to acknowledge a variety of backgrounds, perspectives and skills in our team; committed to creating a workplace where everyone is heard and feels a sense of belonging.

What's in it for you?*

🏠 Remote Flexibility: The freedom to work from home any day that works for you.

🌴 Time to Recharge: 25 working days of paid vacation and Jornada Intensiva in August..

💊 Alan Health Insurance: Premium health, dental, and mental health support via Alan. Pre-existing conditions are covered.

😋 Meal Perk: €150/month allowance on your Alan card + 50% off Ametller Origen prepared dishes at the office.

💸 Tax-Free Savings: Increase your take-home pay by using Flexible Remuneration for extra meal costs (up to €70/mo) and public transport (up to €136/mo).

🖥️ Home Office Gear: We provide a table, ergonomic chair, and monitor for your home setup.

🇪🇸 Language Learning: Free Spanish classes.

🤑 Referrals: Cash rewards for bringing in new talent. 

🌟 Social Life: Daily office breakfast and monthly team events

🎯 Dynamic Hub: A high-energy, inclusive environment designed for collaboration and connection with a team that represents over 60 countries.

*Benefits offered may differ based on the type of contract that is issued

So, what are you waiting for? Apply now!

All applications and CVs must be submitted in English 😉