Lodgify

Senior Data Engineer

Remote, United States remote Entry Salary not listed
remote Design & Creative Curated
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About the role

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, what are you waiting for? Apply now!

All applications and CVs must be submitted in English 😉

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

To apply: https://weworkremotely.com/remote-jobs/lodgify-senior-data-engineer

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Design & Creative Data Analysis Human Resources Javascript MySQL Python remote

Likely questions

  1. Tell us about work you have done that is close to the Senior Data Engineer role.
  2. How would you approach your first 30 days at Lodgify?
  3. Which of Data Analysis, Human Resources and Javascript have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Human Resources and Javascript.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Data Engineer role because I can bring practical experience in Data Analysis, Human Resources and Javascript, learn the team quickly, and contribute to the outcomes Lodgify needs from this hire.

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