Data Modeler

Employment Type: Permanent

Contract Duration

Why you will love working here

At IATA, we represent over 350 airlines worldwide, striving to make

aviation safer, smarter, more sustainable, and inclusive.

• Our Values are not just words on a page - they are the energy behind everything we do: ONE IATA - We collaborate across teams, TRUSTED - We do the right thing, INNOVATIVE - We make tomorrow better, INCLUSIVE - We embrace diverse perspectives.
• 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

The Technology Standards and Data Modeling team, within IATA’s Information and Data (I&D) division, is responsible for developing and maintaining enterprise data models and data modelling practices that enable consistent, integrated and high-quality data across the organisation.

The team is currently seeking a Data Modeler with experience in data analysis, data modelling and modern data platforms. The successful candidate will work closely with business, architecture, data engineering and application teams to understand source systems and their data, analyse data structures and relationships, and develop data models supporting analytical, operational and integration requirements.

The role will contribute to the evolution of IATA’s enterprise data model and help ensure that data is consistently defined, structured and integrated across applications, domains and data platforms.

What your day would be like

• Analyse source systems, databases and datasets to understand data structures, relationships, semantics and usage, and translate findings into appropriate data models.
• Design, develop and maintain conceptual, logical and physical data models supporting operational, analytical and integration requirements.
• Translate business and functional requirements into normalised (OLTP), dimensional (OLAP) and integration-oriented data models, ensuring alignment with enterprise data modelling standards and architecture principles.
• Collaborate with business, architecture, data engineering and application teams to understand data flows, integration requirements and data dependencies, and contribute to the design of appropriate data solutions.
• Support data engineering and application teams by analysing data-model-related issues, improving schema designs and reverse-engineering data models from existing source systems and data platforms.
• Develop and maintain modelling artefacts and documentation, contribute to the continuous improvement of data modelling practices, and share knowledge and best practices across the organisation.
• We would love to hear from you if

Qualifications and Skills

University degree in Computer Science, Data Management, Information Systems or a related discipline, with 3–5 years of relevant experience in data modelling, data analysis or information management.

Strong experience in conceptual, logical and physical data modelling, including normalised and dimensional modelling, with the ability to translate business and technical requirements into effective data models.

Strong data analysis and problem-solving skills, with experience analysing source systems and complex datasets, identifying entities and relationships, understanding data semantics and assessing data quality.

Good knowledge of relational, NoSQL and cloud-based data technologies, with hands-on experience in modern data platforms such as AWS, Snowflake and Confluent, including an understanding of Kafka and real-time/event-driven data.

Good understanding of data governance and metadata management principles, combined with experience using data modelling tools such as Hackolade or comparable platforms.

Strong communication and collaboration skills, with experience gathering requirements from different stakeholder groups, explaining data concepts to technical and non-technical audiences, and working effectively as part of a team.

Travel Required: N

Learn more about IATA’s role in the industry, our benefits, and the team at iata/careers/. We are looking forward to hearing from you!