Senior Data Engineer

Senior Data Engineer

About

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.

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.

Responsibilities

• 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.

Requirements

• 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.

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.