⭐ 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.
