⚡ WHO WE ARE:
Have you ever booked a hotel online? Then you’ve probably used D-EDGE without knowing it.

Mission 🚀: Every day, we help more than 18,000 hotels worldwide to develop their online visibility and sales through leading-edge cloud-based e-commerce solutions.As a subsidiary of the Accor group, D-EDGE simplifies the life of independent hotels and hotel chains alike.

Figures 📊 : D-EDGE Is the European No1 and World No3 hotel distribution technology provider in hospitality. With a team of more than 500 experts located in over 20 countries, D-EDGE provides localized support, services, and tools. With its global network of 500+ partners, D-EDGE’s ever-expanding ecosystem is a positive place to do business and grow.

Culture 😍: At D-EDGE we are driven by these 4 key values:- We care about people #PEOPLE FIRST- We dare to share #OPEN COMMUNICATION- We embrace change #ADAPTABILITY- We go the extra mile #GO BEYOND

Explore our Culture Book today and see if D-EDGE is the right fit for your career aspirations! D-EDGE is an equal-opportunity employer. We welcome all qualified candidates regardless of race, ethnicity, religion, gender, sexual orientation, age, disability, or any other legally protected status.

🎯 THE POSITION:

As a key stakeholder in the hospitality industry, D-EDGE processes large amounts of data on behalf of its customers, as well as for its own usage.

In a context of fast growth for the company, where a data backbone is already existing but relevant for an internal usage only, and where feature teams are lacking support for implemented data-first approaches, you are a member of the Data Engineering team, gathering data coming from all D-EDGE departments, including the data collected or generated by the D-EDGE productsand providing valuable information to Product Managers, Management and Sales positions, Marketing department as well as customers through a dedicated product.

🎯 WHAT YOU'LL BE DOING:

The team is dedicated to : 

• Build and maintain the systems aimed at collecting, storing, processing and distributing data

• Assist feature teams in modeling data and make it available to the Data Engineering team

• Implement data processing algorithms to answer enquiries from company members and customers

• Design and implement efficient reporting tools

• Delivering analytics-ready data in a reliable, scalable, and cost-effective manner

The missions of the Confirmed Data Engineer are:

Data Storage

• Improve and scale the company data storage to follow the company and data usage growth, using state-of-the-art technologies and ensuring reliability and performance.

• Maintain the data storage in collaboration with the team in charge of the Infrastructure.

• Work on a data platform built on Google Cloud Platform (GCP), leveraging services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage.

• Ensure data storage solutions are scalable, efficient, and secure.

• Monitor and optimize storage for cost-effectiveness and performance.

Data Management

• Identify data sources, both internal and external, that are relevant to the considered data exploration.

• Build and maintain efficient, observable, and scalable data pipelines, ensuring data quality and integrity.

• Implement data flows to import data sources into the company data backbone and apply updates when needed.

• Prepare and process data according to planned usages, ensuring data quality and integrity.

• Ensure pipelines are optimized to balance performance and cost.

• Understand data modeling techniques (e.g., ER diagrams, star schema, snowflake schema) and experience with designing relational and non-relational databases.

• Understanding of data integration techniques and best practices.

• Proficiency in programming languages (e.g., Python, Java) for data manipulation and automation.

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.

• Understand  data governance principles and frameworks.

• You have experience in containerization concepts, code version control systems and unit testing

Data Analysis

• Collect and challenge needs and wishes from clients (internal/external) to ensure alignment with business goals.

• Identify relevant KPIs and metrics to calculate, providing insights for decision-making.

• Design reports, configure analytics tools, and create dashboards that effectively communicate data insights.

• Present data and explain results to avoid misunderstanding, ensuring stakeholders understand the implications.

Research & Prospective

• Explore new solutions and technologies aimed at improving the company data backbone.

• Proactively participate in identifying team/client future needs and proposing innovative solutions.

• Assess ways to add value to our data, especially by mixing it with external data, enhancing business intelligence capabilities.

You report to the Data Team's Lead

🎒 WHAT YOU’VE GOT :

• You have at least 3+ years of experience in data engineering.

• You have a good knowledge of data processing languages such as SQL and Python, and data storage platforms such as Google BigQuery.

• You have extensive experience orchestrating/scheduling workflows with Airflow.

• You are familiar with programming languages in general.

• You are familiar with data visualization tools such as Google Data Studio, LookerStudio and Tableau.

• You have a collaborative way of working and a willingness to share your experience through mentoring.

• You demonstrate the ability to adapt and be flexible.

• You have excellent organizational and time management skills, and work independently.

• You have the ability to present complex things in a simple manner.

• You are a problem solver and have sharp analytical skills.

• You speak and write French and English fluently.

• Traveling in foreign countries is required (once every couple of months).

💜 WHY YOU’LL LOVE US:

By joining us, you’ll find more than just a job — you'll discover a stimulating environment, a committed team, and a culture driven by innovation :

🤝 A caring and inclusive culture : respect, transparency, and autonomy every day.
🚀 A strong product vision powered by dedicated R&D.
🌱 A real commitment to responsibility
🌐 An international work environment : 45 nationalities, offices in 20+ countries.
📈 Genuine growth opportunities : Internal mobility, ongoing training, and tailored career paths.
💰 A range of benefits, including: Accor Employee Card: Discounts on hotel bookings , access to sports and cultural activities, health insurance, meal allowance, 12 days per year for social engagement
A flexible remote work policy : up to 3 days of remote work per week and 4 weeks of full remote work per year.

🔎 RECRUITMENT PROCESS:

• 1. HR interview with Talent Acquisition Manager - 30mn

• 2. First Manager interview (team fit) with the Data Product Director and the Engineering Director - 1h

• 3. Technical interview with the Senior Data Engineer and the Engineering Director - 1h30

• ... and welcome to D-EDGE ! :)

Please be aware that we will be asking for work references.
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