Senior Data Modeller
Description
We are seeking a talented Senior Data Modeler - Analytical Solutions to lead the design of enterprise-scale analytical Data Vault 2.0 models for a data platform built on Databricks. We are looking for a candidate whose expertise is rooted in foundational data modelling principles rather than a single vendor. In this role, you will define shared analytical models and standards that ensure consistency, reusability, and trust across the enterprise. This position offers a unique opportunity to lead the architectural transformation of a complex legacy environment into a streamlined, future-ready data asset, while building a versatile profile to drive data strategy across any modern cloud environment.
office remoteEuropean UnionPoland
Requirements
- 5+ years of dedicated experience in data modelling (not deep hands-on engineering)
- Hands-on experience with modern cloud data platforms (Databricks)
- 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
Responsibilities
- Model enterprise-level analytical Data Vault 2.0 structures on Databricks, handling both structured and semi-structured data
- 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 data engineering, focusing strictly on data modeling rather than hands-on engineering
- Translate complex business logic into high-quality documentation, data lineage, and precise models for engineering implementation
- Conduct deep-dive sessions to audit and remediate complex or poorly structured data assets 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
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
- 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
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Senior Data Modeller
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