Engineering Manager – Data Acquisition and Transformation

Job Title: Engineering Manager – Data Acquisition and Transformation

Context

Within the airline industry, Revenue Management, Dynamic Pricing, and Merchandising represent pivotal domains. Revenue Management has undergone substantial evolution over the past two decades, transitioning from simplistic leg-based optimization to sophisticated network Revenue Management and bid-price control systems. In our very competitive market, characterized by established players and aggressive newcomers, cutting-edge revenue management capabilities serve as a crucial differentiator, significantly enhancing airline profitability.

Dynamic Pricing emerges as a solution aiming to revolutionize pricing strategies in real-time. Tailoring prices dynamically during customer interactions based on segmentation and competitive landscapes, it offers our customers a pathway to accelerate their transformation and capitalize on new capabilities.

Last but not least, our latest algorithms proven through advanced modelling on airline business scenarios, and the unbeatable advantages of tight integration within Amadeus ecosystem, enables to propose one of the best airline industry’s solutions currently available in the market relaying on a modern data platform stack (Microsoft Azure, Databricks, Spark, Scala, Kafka, etc…).

The Department

This position is available within the Data Engineering, Science, and Innovation department. Our mission is to equip Amadeus Offer organization with the best-in-class processes, practices and technological expertise in the Data and AI domain. We aim to establish ourselves as one of the driving forces behind the transformative initiatives by integrating seamless advanced cloud and big data technologies, our innovation process, and engineering best practices.

Your team and mission

We are looking for a talented people leader, passionate by the data challenges. As Manager of the Data Acquisition and Transformation team, you will be leading a team of Data Engineers:

1. Responsible of the collection, cleansing, transformation and storage of data produced and consumed within Offer organization.
2. Managing design and implementation of ETL processes within our modern data platform to power Offer products such as Dynamic Pricing Solutions, Revenue Management Solutions, NDC, Nevio and more.
3. Ensuring adoption and implementation of data management practices within Offer organization, working closely with the data office entry points and other key actors of the data ecosystem.
4. Responsible of maintenance and operational activities of our data assets with a DevOps mindset.
5. Supporting customer activities such as customer presentations, customer support and incident handling.
6. Being one of the greatest technical expertise, intellectual stimulation, and innovation sources in Offer organization.

In this role you will:

1. Lead and develop your team with a focus on fostering collaboration, trust, and a positive work environment.
2. Support individual growth and career development through coaching, training, and day-to-day activities.
3. Promote ownership, best practices, and consistency across the organization.
4. Drive engagement and results by setting personalized performance objectives, by conducting well-prepared performance reviews and by leading engagement initiatives.
5. Lead technical and functional activities to get the most from the technology and our principal asset: data.
6. Collaborate closely with other managers, SAFe leaders, product managers, and technical experts to support any initiative within the organization and in general SAFe ones (PIPE, IP Weeks, …).
7. Serve as a role model for team members and encourage intellectual stimulation.
8. Support development and adoption of modern data practices across the organization.
9. Ensure timely and appropriate communication to the different actors involved in our activities.

Requirements

1. A solid educational foundation with a degree in Computer Science, Engineering, Data Science, or a related technical field. Advanced degrees (Master’s or Ph.D.) are preferred.
2. At least 5 years of hands-on experience with cloud platforms and managing large-scale data projects.
3. Proactivity, autonomy, strong leadership skills and exceptional proficiency in English communication is required.
4. Experience with SAFe or any other Agile framework.
5. Relevant experience on data management, implementing data quality processes and BI is a plus.
6. Previous experience as Engineering Manager is a plus.

Why to join us?

1. You will be at the heart of Amadeus’ business transformation where Data is the fuel powering it.
2. Lead a dynamic engineering team while prioritizing efficiency, reliability, and continuous improvement initiatives.
3. Be part of an innovative organization specialized in Data and cutting-edge technologies such as Cloud, Artificial Intelligence, and Quantum Computing.
4. Explore diverse learning opportunities in areas like Dynamic Pricing, Revenue Management Solutions and more, leveraging our modern data platform.
5. Contribute to our collaborative and innovative culture, where thinking outside the box is encouraged.
6. Focus on enhancing team members' experiences to ultimately improve customer satisfaction—putting the customer first starts with us!

Diversity & Inclusion

Amadeus aspires to be a leader in Diversity, Equity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.

Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.