Posted on: 19/03/2026
Job Description Summary :
As a Data Engineer, you will be responsible for designing, developing, and maintaining our data pipelines and data products.
You will work closely with our product definition analysts, data scientists, data engineers, and architects to ensure the reliability, scalability, and performance of our data assets.
Key responsibilities :
- Design, implement, deploy, and maintain data marts and ETL processes (our data assets).
- Ensure the reliability, scalability, and performance of our data assets.
- Design and maintain quality indicators with effective monitoring & alerting.
- Troubleshoot and document issues following Amadeus standards.
- Apply continuous improvement to systems, processes, and data-related issues.
- Stay updated with industry standards, security recommendations, and best practices within the Offer organization.
Mandatory Skills :
- Programming Languages : Python or Scala.
- Big Data Technologies : Apache Spark, Sqoop, Hadoop, Hive, Apache Kafka.
- Data Platforms : Databricks (preferable), Snowflake, Azure Synapse.
- Database : SQL, NoSQL, PL/SQL, BigQuery.
- Cloud Platforms : Azure / GCP / AWS.
- DevOps Tools : Azure DevOps, Azure Repos, Git/GitHub, Bitbucket.
- Good to have certifications : Azure and/or Databricks.
Qualifications :
- Education : University degree in computer science or related field or relevant experience.
- Overall experience : 8+ Years.
- 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 :
- Strong English communication skills (verbal & written).
- Strong team player with a collaborative mindset.
- Excellent problem-solving and analytical abilities.
- Fast, thorough, and autonomous learner with good prioritization skills.
- Innovative thinker with a proactive attitude.
- Thrives in a multicultural global environment.
- Open?minded and adaptable to multi-cultural team environments.
- Flexible to adapt to changing customer-driven project needs.
- Ability to think creatively and build productivity?enhancing tools.
What We Can Offer You :
- A critical mission and purpose At Amadeus, you'll power the future of travel with a critical mission and extraordinary purpose.
- A truly global DNA Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.
- Great opportunities to learn Learning happens all the time and in many ways at Amadeus, from on-the-job training to formal activities, and daily interactions.
- A caring environment Amadeus fosters a caring environment that supports both professional growth and personal well-being.
- A complete rewards offer Amadeus provides attractive compensation packages, including salary, bonus, caregiving and health benefits.
- A flexible working model Embrace our flexible working model, enabling you to excel wherever and however you work best.
- A diverse, equitable, and inclusive community We are committed to enabling each employee to reach their full potential by fostering a culture of belonging and fair treatment.
- A Reliable Company Trust and reliability are fundamental to shaping our relationships with customers, partners, and employees.
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.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1622007