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Senior Data Modeller

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Itransition

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Location:
United Kingdom , London

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are seeking a talented Senior Data Modeller – Analytical Solutions to lead the design of enterprise-scale analytical data models for our new data platform built on Azure Data Stack (Azure Databricks & Microsoft Fabric). While our current ecosystem is a Microsoft-centric environment, we are looking for a candidate whose expertise is rooted in foundational data modelling principles rather than a single vendor. You will define shared analytical models and standards that ensure consistency, reusability, and trust across the enterprise, while guiding the transition from a legacy SQL Server–based analytical platform (DWH, SSAS, Power BI) to a modern, cloud-native architecture.

Job Responsibility:

  • Lead analytical modeling for a new enterprise data platform based on Databricks and Microsoft Fabric, handling both structured and semi-structured data, while following platform-agnostic best practices
  • Create and maintain data mapping artifacts to support analytics, integration, and migration initiatives
  • Establish modeling patterns suitable for lakehouse, medallion, and semantic-layer architectures
  • Ensure alignment between physical analytical models and enterprise semantic definitions
  • Act as the primary interface between business stakeholders and the data engineering team, with a strong emphasis on data modeling rather than hands-on engineering
  • Translate complex business logic into high-quality documentation, lineage, and models that engineers can implement with precision
  • Conduct deep-dive sessions to audit and remediate complex or poorly structured data structures in the current environment
  • Establish enterprise data modeling standards that prioritize data integrity, portability, and long-term flexibility
  • Lead data profiling activities to ensure physical implementations align with defined data models

Requirements:

  • 5+ years of dedicated experience in data modelling (not deep hands-on engineering)
  • Hands-on experience with modern cloud data platforms (Microsoft Fabric and/or Databricks). Experience with Power BI or other Azure Data Services is a significant advantage
  • Strong experience with SQL. Familiarity with Python/PySpark is a plus
  • Deep knowledge of modeling approaches such as Kimball, Inmon, and Data Vault 2.0, with the ability to select the most appropriate methodology to address specific business challenges
  • Experience with enterprise-grade modelling tools (e.g., ER/Studio, Erwin, or Sparx EA)
  • Strong soft skills and non‑confrontational behavior
  • Must be UK-based to support the required high-touch stakeholder engagement and "onshore" collaboration model
What we offer:
  • Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
  • Competitive compensation that depends on your qualification and skills
  • Career development system with clear skill qualifications
  • Flexible working hours aligned to your schedule
  • Options to work remotely
  • Corporate medical insurance covering services of private and public medical centers
  • Corporate parties and events for employees and their children
  • Internal conferences, workshops and meetups for learning and experience sharing
  • Gym membership compensation
  • 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate

Additional Information:

Job Posted:
February 23, 2026

Work Type:
Remote work
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