Lodgify: Senior Data Engineer

Wealth.com: Director of Strategic Accounts

June 4, 2026

IFS: Account Executive – Net New | Copperleaf | France

June 4, 2026

Published by Coupea on June 4, 2026

⭐ 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 😉

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

To apply: https://weworkremotely.com/remote-jobs/lodgify-senior-data-engineer