⭐ 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.
🏠 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 😉
Skills Required
- 7+ years in data engineering
- Advanced SQL experience
- Proficient Python for data engineering tasks
- Experience with data orchestration tools
- Experience with cloud platforms (GCP, AWS, Azure)
- Proven experience with building data pipelines
What We Do
Lodgify is a constantly growing tech start-up, focused on building vacation rental software that enables vacation rental owners to independently manage and market their business online. We do so by providing them with easy-to-build websites, including a booking and reservation system, various synchronisation options, and payment collection options. We are +300 Lodgifiers strong, and you can find us working in Barcelona and all around the world! We are working in a hybrid mode and provide our team members with an option to work from home and spend additional time with their family, friends and pets. With nearly 50 nationalities, we celebrate diversity daily! With 43% of female and 57% of male employees we are striving to establish a gender balance. Actions are continuously taken to include more women in our Tech teams.
