Role Title: Data Modeler
Location: London
Duration: 10/07/2026
Work setup: 3 days onsite/week
Rate inside IR35 £358

MUST BE THROUGH UMBRELLA

* Expertise in data modeling methodologies, including conceptual, logical, physical, and dimensional modeling (Kimball/Inmon).
* Proven experience designing enterprise semantic layers, particularly for lakehouse architectures
* Strong understanding of data warehousing principles, star/snowflake schemas, fact/slowly changing dimensions, and canonical data models.
* Ability to translate complex business requirements into scalable, well structured data models that support analytics, BI, ML, and operational use cases.
* Experience collaborating with data engineers to guide physical implementation, ensuring alignment with modeling standards and performance requirements.
* Working knowledge of modern data platforms and storage patterns, including Delta Lake, Parquet, medallion architectures, and distributed systems.
* Proficiency with data modeling tools such as ER/Studio, ERWin, Sparx EA, dbt metrics layer, or similar.
* Strong SQL skills for validating data structures, profiling data, and ensuring model accuracy.
* Knowledge of metadata management, lineage, and governance frameworks, ensuring that modeled entities align with enterprise standards and regulatory controls.
* Experience defining naming standards, modeling conventions, and reusable data artefacts to ensure consistency across data domains.
* Ability to assess data quality issues and identify model level improvements to enhance trust and usability of curated datasets.
* Strong communication skills, capable of translating technical modeling decisions into clear guidance for engineers, analysts, and business partners.
* Familiarity with semantic modeling layers (e.g., dbt Semantic Layer, Power BI, LookML) and how data structures support BI and AI use cases.
* Experience working within federated or domain driven data environments, including Data Mesh or similar patterns.

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