Your responsibilities

Design and maintain conceptual, logical and physical data models following client-defined methodologies and architectural standards (e.g., Kimball).
Create star schema models and document data structures to support reporting, analytics and downstream data consumers.
Propose, justify and document data-modeling and integration solutions that balance long-term platform strategy with current business needs.
Define and document data transformation and integration logic to support ETL/ELT pipelines.
Collaborate with business analysts, source-system subject-matter experts, data architects, engineers and product owners across project phases.
Communicate technical concepts clearly to both technical and non-technical stakeholders and maintain high-quality documentation.
Consider performance optimization, scalability and cost efficiency when making design decisions.
Support implementation of data-driven projects, ensuring models are production-ready and aligned with platform governance.

Our requirements

At least 2 years of experience in data modelling with practical work on star schemas.
Strong SQL skills and experience writing complex queries and transformations.
Experience designing conceptual, logical and physical data models and producing clear documentation.
Familiarity with data integration concepts and ETL/ELT patterns.
Understanding of performance optimization, scalability and cost considerations in analytical environments.
Experience working with cloud data platforms or modern analytical ecosystems is an advantage.
Strong communication skills and ability to work with diverse stakeholders throughout the project lifecycle.

Remote working.
Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.
Agile approach and no bureaucracy.