Lead Data Engineer

Role Overview

Join our team as a Lead Data Engineer to contribute to the evolution of our data infrastructure for the launch of a new product. You will oversee the development and optimization of our pipelines and data architectures, ensuring efficient data ingestion, transformation, and activation across various systems.

What You Will Do

Design, build, and maintain a high-performance data infrastructure, define and implement best practices for data architecture, storage, and processing pipelines, and lead the data warehouse and data lake strategy.

Why It Might Be a Fit

You will have a significant impact on the hospitality industry, working with cross-functional teams to use data to improve internal processes and product features. You will also have the opportunity to research and implement emerging technologies to improve data processing and analysis capabilities.

Requirements

• 5+ years of experience in Data Engineering, with at least 1-2 years in a leadership role
• Bachelor’s or master’s degree in computer science, engineering, data science, or a related field
• Proficiency in Python, SQL, and data orchestration tools like Apache Airflow and Airbyte
• Experience with database management systems like PostgreSQL and Snowflake, as well as a solid understanding of data modeling
• Knowledge of data transformation tools like dbt
• Practical experience with cloud platforms, including data service management
• Expertise in data quality, data governance, and data management best practices
• Experience in data science or industrializing machine learning (ML) is a plus
• Familiarity with tools like Metabase, Hightouch, Secoda, and Terraform is an asset
• Excellent problem-solving skills and the ability to think creatively to tackle Data Engineering challenges
• Collaborative spirit, able to co-build solutions with other technical and business teams
• Strong organizational and project management skills, with the ability to manage projects efficiently while respecting deadlines and objectives
• Experience working with AI and large language models (LLMs)
• Expertise in data governance solutions and implementing best practices across technical teams
• Familiarity with CI/CD pipelines and deployment automation