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Senior Data Engineer

Design and maintain scalable data pipelines using modern data stack tools

Design, build, and maintain scalable data pipelines and infrastructure using Lodgify's 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, ensuring data infrastructure supports downstream consumers including analytics and future AI/ML initiatives.

Why This Role?

Opportunity to mentor team members and promote data engineering best practices in a fast-growing scale-up

Key Responsibilities

  • Design, build, and maintain scalable data pipelines and infrastructure
  • 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 and assist with tracking implementation problems
  • Optimize performance and cost-efficiency of the data platform
  • Collaborate with analysts and stakeholders to ensure data accessibility for visualization and operational syncing

Requirements

  • 7+ years in data engineering with hands-on experience using modern data stack tools
  • Advanced SQL and proficient Python for data engineering tasks
  • Proven experience with orchestration tools (e.g., Mage.ai, Airflow), dbt, and ELT solutions (e.g., Fivetran, Airbyte)
  • Experience with a cloud platform (GCP, AWS, or Azure)
  • Track record of building and maintaining reliable, end-to-end data pipelines in production
  • Ability to work effectively with cross-functional teams and communicate technical concepts clearly

Required Skills

data engineeringsqlpythondbtdata modelingdata warehousingcloud platformETL/ELT

Indonesia Context

Working Hours Overlap:
Flexible — work your own hours
See remote (USD) vs local pay →

Keywords

Senior Data Engineerdata pipelinesdbt modelingcloud data platformsdata governancemodern data stack
View Original Description from WeWorkRemotely

Original description from WeWorkRemotely

Headquarters: Spain URL: http://lodgify.com ⭐ 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. 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 belonging. What'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

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Company
Lodgify
Source
WeWorkRemotely
Job Type
full time
Location
Remote · Open worldwide
Category
Seniority
senior
Posted
Jun 3, 2026

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Is Senior Data Engineer at Lodgify a remote job?
Yes. Senior Data Engineer at Lodgify is a fully remote role open to candidates worldwide.
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This is a full time position.
How do I apply?
Click the "Apply" button on this page to go to the official application at Lodgify.

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