Data Modeler
Role details
Job location
Tech stack
Job description
- With over 30,000 courses available, we believe in continuous learning and support your growth in an ever-changing industry.
- Diversity, equity, and inclusion are our priorities. We are certified by the Equal Salary Foundation, offering equal pay and family-friendly policies.
- We encourage community involvement through volunteering and strive to make tomorrow better for aviation and our communities. We offer time off so you can support causes important to you.
- We promote work-life balance with flexible work options, including remote and hybrid work, a generous 'work from abroad' policy, and you get your birthday off!
About the team you are joining
Part of the Information and Data (I&D) Division, Data Governance team works to define and implement state-of-the-art data practices within our organization to make data and analytics more accessible, trustworthy, and actionable. Our goal is to maximizes the investment in data and analytics initiatives by promoting the proper use of analytics in business processes, ensuring accurate insights based on quality data, reducing risks with security, and guiding the prioritization of projects so the right information is available at the right time.
Reporting to the Senior Manager, Data Architecture and Modeling, the Data Modeler is responsible for designing and maintaining enterprise data models that structure IATA's data ecosystem effectively. The role ensures that data is organized, consistent, documented and optimized within information systems to support business processes, analytics, and strategic objectives.
What your day would be like
The Data Modeler supports the design, implementation, and maintenance of data models used across operational, analytical, and reporting systems. Working under the guidance of the Senior Manager, Data Architecture and Modeling, the role collaborates with architecture, engineering, and business teams to ensure data structures are aligned with approved data standards and integration requirements. Responsibilities include: Contributing to the definition and documentation of data modelling standards, methodologies, and tools for conceptual, logical, and physical data models. Translating business and functional requirements into normalized and dimensional data models to support transactional, analytical, and integration use cases. Developing and maintaining conceptual, logical, and physical data models in alignment with established data architecture and strategy. Supporting collaboration with data engineering and solution architecture teams to implement data flows and integration designs. Applying enterprise naming conventions, data definitions, and domain models to ensure consistency and interoperability. Assisting in troubleshooting data model-related issues, optimizing schema designs, and reverse-engineering existing database structures when required. Designing and maintaining analytical and transactional data models with a focus on performance, scalability, and data quality. Applying established data modelling patterns and contributing to continuous improvement of modelling practices.
Requirements
Do you have experience in AWS?, Do you have a Bachelor's degree?, Bachelor's degree in computer science, data science, information systems, or a related technical discipline, or equivalent professional experience. 3 - 4 years of hands-on experience applying data modelling principles, including conceptual, logical, and physical data models in professional environments. Experience using data modelling tools to document and maintain data structures. Exposure to data warehouse, data lake, and enterprise data platforms, with an understanding of distributed or cloud-based environments. Ability to support alignment between logical and physical data models and implemented database schemas under guidance. Familiarity with cloud-based data platforms and data integration tools (e.g. AWS services, Snowflake, Talend, or equivalent). Fluent reading, writing, and speaking abilities in English.