Data Engineer 3

Key responsibilities  

• Design, implement, deploy, and maintain data marts, ETL (extract, transform, load) processes and systems. A.k.a. as our assets.  
• Ensure the reliability, scalability, and performance of our data assets.  
• Design and maintain quality indicators as well as the corresponding monitoring and alerting means.  
• Troubleshoot and document issues respecting Amadeus standards.  
• Continuous improvement mindset applied to data related issues, systems, and processes.  
• Technical and expertise awareness to keep up with industry standards, security recommendations and best practices within Offer organization. 

About the ideal candidate:  

• Hands-on experience writing Production quality code in Scala (preferred) or PySpark or Java.  
• Hands-on experience on big data technologies, including the mapr filesystem, Apache Spark, Hadoop, Kafka & Impala.  
• Proven experience with the Apache Spark Architecture and components.  
• Hands-on experience on scripting languages including Bash scripting and Python.  
• Knowing different kinds of database technologies, including of course SQL.  
• Previous work with no-SQL databases, like MongoDB will be a plus.  
• Solid knowledge of build tools and in particular Maven and SBT.  
• Experience on building and maintaining DevOps pipelines will be a plus.  
• Familiarity with analytics platforms like Tableau will be a plus. 

Cloud: 

• Familiarity with Azure cloud technologies. 
• Familiarity with Azure Databricks and Databricks SQL. 
• Familiarity with Snowflake Data Cloud will be a plus. 

Qualifications 

• Education: University degree in computer science or related field or relevant experience 
• Proven track record of experience working in data engineering domain. 
• Strong experience defining ETL processes. 
• Experience with data modeling and data visualization concepts and tools. 
• Knowledge of Software Design under Agile frameworks (Scrum, Kanban, SAFe, …). 
• Proven experience on design and maintaining applications using Scala, (Py)Spark, MAPR distribution, Hadoop ecosystem, Kafka, Impala. 
• Hands-on experience on Microsoft Azure, Databricks. 

Other: 

• Good English verbal and written communication skills 
• Strong team player with collaborative mindset 
• Excellent problem-solving and analytical skills. 
• Fast, thorough, and autonomous learner who also understands prioritization 
• Innovative thinker 
• Ability to maintain a proactive and positive attitude in a fast paced, changing environment 
• Thrives in a multi-cultural, global organization 
• Open-minded, should be able to adapt to working in a multi-cultural team atmosphere 
• Flexible to adapt to changing project needs driven by the customers 
• Ability to think out of the box, develop tools to enhance productivity 

What we can offer you: 

• The opportunity to work for one of the world’s top leading travel tech companies; a company that originated in technology innovation and sees the world with a technology-first perspective 
• Skills development and opportunities to try new ideas 
• A global diverse work environment  

Diversity & Inclusion

Amadeus aspires to be a leader in Diversity 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.  

Be aware of recruitment scams

Amadeus Group never charges fees, requests payment, or asks for financial information during recruitment. All legitimate opportunities are communicated solely through official Amadeus channels, including our careers website. Any payment request or outreach via unofficial platforms (e.g., WhatsApp, Telegram) should be treated as fraudulent.