Lodgify

Senior Data Engineer

Job Description

⭐ 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 optimize 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 visualization and operational syncing (Hightouch).
  • Optimize 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/visualization 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.

    • Apply Now
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