Senior Data Engineer

Imported from the public job-search scan generated at 2026-06-04T00:00:35Z.

Agent scoring notes

• Score: 40
• Source: wwr-product
• Query: broad feed / no query
• Reasons:
  • +7 ai
  • +5 python
  • +5 scale-up
  • +4 worldwide
  • +2 remote
  • +5 title:seniority
  • +12 location:full-remote
• Duplicate sources: wwr-product
• Source URLs:
  • https://weworkremotely.com/remote-jobs/lodgify-senior-data-engineer

Posting excerpt

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