Data Modeler
4 days ago
Role: Data Modeler
Work location: Melbourne
Role type: Contract
Job Summary:
We are looking for a skilled
Data Modeler
to join data and analytics team within the airline industry. The ideal candidate will design and maintain data models that support operational efficiency, customer experience, revenue management, and regulatory compliance. You will collaborate with cross-functional teams to ensure data structures align with aviation business processes and strategic goals.
Key Responsibilities:
- Design and develop
conceptual, logical, and physical data models
for airline-specific domains such as
flight operations, passenger services, loyalty programs, and revenue management
. - Collaborate with
data architects, business analysts, and IT teams
to translate aviation business requirements into scalable data solutions. - Ensure data models support
real-time analytics, reporting, and decision-making
across departments like operations, customer service, and finance. - Maintain and optimize existing data models to support
flight scheduling, aircraft maintenance, baggage tracking, and customer engagement
. - Document data models and metadata using tools like
Erwin, PowerDesigner, or similar
. - Support
ETL development, data warehousing, and integration
with airline systems such as
Passenger Service Systems (PSS), Global Distribution Systems (GDS), and Enterprise Resource Planning (ERP)
. - Conduct
data profiling and quality checks
to ensure accuracy and consistency across systems. - Ensure compliance with
aviation data standards, privacy regulations (e.g., GDPR), and industry best practices
.
Required Qualifications:
- Bachelor's or Master's degree in
Computer Science, Information Systems, Data Science, or related field
. - Proven experience in
data modeling
within complex, high-volume environments—preferably in the
transportation or airline sector
. - Strong knowledge of
SQL, relational and dimensional modeling
, and database technologies (e.g., Oracle, SQL Server, Snowflake). - Experience with
data modeling tools
such as Erwin, IBM InfoSphere, or similar. - Familiarity with
aviation systems and data flows
, including flight schedules, passenger manifests, and operational metrics. - Excellent communication and collaboration skills to work with technical and non-technical stakeholders.
Preferred Qualifications:
- Experience with
cloud platforms
(e.g., AWS, Azure) and
big data technologies
. - Exposure to
real-time data streaming
and
event-driven architectures
. - Certification in
data modeling, data architecture, or aviation IT systems
is a plus.
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