Confirmed Data Engineer - CDI; H​/F​/NB

WHO WE ARE

⚡ 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.

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 products and providing valuable information to Product Managers, Management and Sales positions, Marketing department as well as customers through a dedicated product.

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:

• 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 Big Query, Dataflow, Pub/Sub, and Cloud Storage.
• Ensure data storage solutions are scalable, efficient, and secure.
• Monitor and optimize storage for cost-effectiveness and performance.

• 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

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