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Lodgify

Posted 13 months ago

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Senior Data Engineer

EMEARemoteFull-time

AI Summary

Senior Data Engineer to design, build, and optimize scalable data pipelines and infrastructure, mentor team members, and enable data-driven decisions across the company.

About this role

⭐ 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.

    • Skills

    AirbyteAirflowAnalyticsAWSAzureCloud PlatformsData GovernanceData ModelingData Quality ChecksData WarehousingDbtETLETL/ELTFivetranGCPHightouchMage.aiML Data GroundworkMonitoringPipelinesPythonSQL

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