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Senior Data Engineer

A SaaS scale-up revolutionizing hospitality management, serving over 14,000 hoteliers worldwide with $50M in funding.
Data
Senior Software Engineer
In-Person
101 - 500 Employees
5+ years of experience
Enterprise SaaS · Travel

Job Description

Amenitiz, a rapidly growing SaaS company with over $50 million in funding, is revolutionizing the hospitality management industry. Currently serving more than 14,000 hoteliers worldwide, they're backed by prestigious VCs who have invested in giants like Alibaba, Toast, and Revolut.

As a Senior Data Engineer at Amenitiz, you'll play a crucial role in shaping the company's data infrastructure. The position offers an opportunity to lead the architecture and optimization of data systems that power decision-making across the organization. You'll be working from their headquarters in beautiful Barcelona, joining a team of 300 passionate professionals.

The role combines technical leadership with hands-on engineering, requiring expertise in SQL, Python, and modern data platforms like Redshift. You'll be responsible for designing scalable data pipelines, implementing governance standards, and mentoring junior engineers. The position demands both technical excellence and strong communication skills, as you'll be collaborating with various stakeholders across product, analytics, and data science teams.

This is an ideal opportunity for an experienced data engineer who wants to make a significant impact in a fast-growing company that's transforming the hospitality industry. You'll be working in a positive culture that values ownership, collaboration, and excellence, while contributing to a product that makes a real difference in the hospitality sector.

Last updated 16 days ago

Responsibilities For Senior Data Engineer

  • Lead the design and implementation of scalable, secure, and reliable data pipelines
  • Architect and optimize ELT workflows in dbt
  • Own the integrity and design of core data models in Redshift
  • Drive implementation of data governance, observability, and quality standards
  • Integrate complex data sources, APIs, and third-party platforms
  • Partner with engineering and product teams on data architecture improvements
  • Monitor, troubleshoot, and proactively improve pipeline performance
  • Contribute to data platform strategy
  • Mentor and support junior engineers

Requirements For Senior Data Engineer

Python
  • Bachelor's or Master's degree in Computer Science, Engineering, or related discipline
  • 5+ years of experience in data engineering
  • Expert-level SQL and strong proficiency in Python
  • Deep experience with modern data platforms (BigQuery, Snowflake, Redshift)
  • Strong understanding of cloud architecture (GCP, AWS, or Azure)
  • Familiarity with data privacy, security, and governance frameworks
  • Strong problem-solving skills and proactive mindset
  • Excellent communication and leadership skills

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