Data Modeler (IT)
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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