Data Engineer

The Commercial Intelligence Team within the Revenue Management & Commercial Excellence department (RMCE) is looking for a motivated and driven Data Engineer who will help us shape our team, drive the company to the next level, and have the most direct influence on our success.

Who We Are

The Revenue Management & Commercial Excellence (RMCE) department combines commercial responsibilities with strategic pricing and the monitoring, analysis and interpretation of KPIs to optimize revenue. As an open and interconnected hub within the commercial organization, RMCE fosters transparency, collaboration, and synergy across all functions.

The Commercial Intelligence team owns the RMCE's department’s analytical products: from data pipelines, reports, and ad-hoc analyses to tools and applications. We support the department and the whole company in taking data-driven business decisions by translating big data into actionable insights and building automated solutions. Our long-term goal is to enhance our Revenue Management System with integrated solutions (reports, tools, UIs) that would replace our current product portfolio. To this end, our team is looking for someone with both data modeling and engineering knowledge to drive our offer to the next level. 

Your Tasks – Paint the world green

As a Data Engineer you will work on a wide range of interesting tasks to actively support the business teams in optimizing revenue, ensuring profitability, and fostering sustainable growth.

This is a highly visible role that requires rigor, self-organization, autonomy, hands-on mentality and entrepreneurial spirit, and will give you the opportunity to develop many transversal skills (engineering, data modeling, analytical, commercial, project and stakeholder management, amongst others).

Our tech stack:

• Snowflake
• DBT
• Power BI
• Python
• Jenkins and GitLab CI/CD
• AWS, Docker, Kubernetes
• Kafka

Your Tasks – Paint the world green

• Extract, transform and load data using SQL and Python;
• Build and maintain ETL pipelines using workflow orchestration tools;
• Transform, test and document data;
• Share data with other teams via Kafka;
• Create dash web apps to collect user input
• Collaborate with cross-functional teams, understand business requirements, and present findings to non-technical stakeholders.

Your Profile – Ready to hop on board

• You have 3+ years of experience as a Business Intelligence Engineer, Analytics Engineer or equivalent;
• You are proficient in Snowflake/SQL and Python and have solid experience writing data pipelines using Python;
• You have good knowledge of workflow orchestration tools such as Apache Airflow or Luigi to automate and schedule data processes;
• You feel comfortable using Git;
• You have experience using Kubernetes and Docker;
• You are familiar with Kafka;
• You are fluent in English.

Additional desired Qualifications

• You have 1+ years of experience as a Data Analyst, Business Analyst, or equivalent;
• You feel comfortable using GitLab CI/CD;
• You have solid experience in developing reactive apps using Dash (Python)
• You have experience in AWS;
• You possess a strong understanding of analytics engineering tools such as DBT or similar;
• You have experience in data modeling and DAX using Power BI (or any other similar tool).

Our Perks – More than just a job

• You have an impact. With innovation and smart technology, we are creating the easiest way to travel. We want your ideas and give you autonomy to make them reality.​
• Flix is flexible. Organize your own schedule, and balance work between the office and home as it’s best for you. We give you trust-based hours and a flexible smart working policy.
• Travelling is our passion. Discover the world with your f