Job Title
Key Responsibilities
Application Lifecycle:
Design, develop, and maintain automated reporting jobs and dynamic dashboards based on stakeholder specifications.Data Engineering & ETL:
Understand and work with ETL workflows to extract, transform, and load data efficiently. Collaborate with data engineering teams to ensure smooth data pipeline integration.Data Connectivity & Accuracy:
Manage data connections to ensure seamless synchronisation. Perform rigorous data validation to guarantee accuracy in all reports.Performance & Resiliency:
Build resilient, high-availability solutions. Optimise refresh patterns and resource usage to support Green IT and FinOps goals, ensuring dashboards remain stable under load.Platform & Governance:
Support the health of the Power BI ecosystem by managing workspace security, monitoring capacity performance, and enforcing governance standards.Collaboration:
Maintain strong communication with key business stakeholders and technical teams (often in a distributed environment) to review operational performance and refine solutions.
Experience Range:
Looking for 6-10years
Technical Stack & Skills
Core Visualisation:
Microsoft Power BI, Power Query, DAX.Infrastructure:
Power BI Service (Security/Monitoring), Azure Managed Services.Data Engineering & Programming:
Basic understanding of ETL workflows and data pipeline orchestration.
Familiarity with data engineering concepts (data modelling, data quality, performance tuning).
Hands-on experience or working knowledge of Python, PySpark, or Scala for data processing and transformation.
Database & Storage:
SQL, relational and non-relational databases.Nice-to-Haves (Plus):
Experience developing Custom Visuals.
Knowledge of Microsoft Fabric.
Background in Database Design, Data Mining, or Data Analysis.
Certification: Microsoft Certified: Power BI Data Analyst Associate (PL-300).
Additional Skills for Power BI Engineer Role
Strong data modelling and data warehousing concepts.
Understanding of API integration for data sources.
Knowledge of performance optimisation techniques for large datasets.
Familiarity with CI/CD pipelines for BI deployments.
Awareness of data governance and compliance standards.
Core Competencies
Visual Storytelling: Ability to choose the right visualisations to make data accessible to non-technical users.
Technical Growth: A strong desire to learn advanced optimisation techniques and cloud architecture.
Attention to Detail: Dedication to delivering error-free data and polished user interfaces.
Communication: Ability to work effectively within an agile, distributed engineering squad.
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.
Top Skills
What We Do
Travel powers progress. Amadeus powers travel. Amadeus’ solutions connect travelers to the journeys they want, linking them via travel agents, search engines and tour operators to airlines, airports, hotels, cars and railways.
Technology has always been critical to developing global travel, increasing scale, choice and access. We have developed our technology in partnership with the travel industry for 30 years.
We combine a deep understanding of how people travel with the ability to design and deliver the most complex, trusted, and critical systems our customers need.
