Accor Tech & Digital is the innovation and technological transformation lab of the world leader in hospitality.
Our teams, known as Heartists®, bring together the best of hospitality with the best of tech and digital. Our ambition is to provide our customers with personalized, memorable, and sustainable experiences.
Here, we create new ways to travel within each of our 5,500 hotels, connecting closely with our 100 million clients in 110 countries.
Here, we are at the heart of an incredible playground for technological transition and the design of digital products and services for our customers and hotel teams.
Here, your scope will know no boundaries;
So join us and dare to make an impact on the world!
Here is where your greatest challenge awaits you:
Within the Data team, you will join the Distribution & Hotel Services (DHS) tribe, responsible for delivering Data products (exports, dashboards, datasets/tables, etc.) that enable performance monitoring and operational improvement for many teams across two core business domains:
Distribution: multichannel distribution of our services and offers, and management of the booking process through to payment;
Hotel Services: management tools dedicated to hotels.
As part of the NGD (Next Gen Distribution) program, which focuses on migrating our reservation systems, you will be embedded in a Feature Team dedicated to managing the impact of this migration on our Data products.
You will report to the Feature Team’s Tech Lead and work closely with other Data Engineers, Data Analysts, Product Owners, and Data Scientists.
Your mission:
As a Senior Data Engineer, you will be responsible for:
Designing, developing, and maintaining robust, scalable, and well-documented data pipelines
Collaborating with the Tech Lead to ensure quality, performance, and maintainability of Data products
Contributing to the continuous improvement of engineering practices (CI/CD, automation, testing, documentation)
Optimizing data processing and operational costs of Data products (FinOps)
Working closely with Data Analysts and Data Scientists to meet business needs
Documenting produced assets to facilitate reuse and onboarding of new team members