Senior Data Engineer

⭐ 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 [link removed] 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 [link removed] 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., [link removed], 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 [link removed]'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 😉 Originally posted on Himalayas