⭐ 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 Adaptable 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

📌 Senior Data Engineer (España)
🏢 Lodgify
📍 España