Senior Data Modeller

Itransition; Warszawa, Wrocław; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Flexible working hours

Remote options

Competitive compensation

Career development system

Job summary

Itransition in Warsaw, Poland, seeks a Senior Data Modeler - Analytical Solutions to lead enterprise-scale Data Vault 2.0 modeling for a Databricks-based data platform. You will define shared analytical models and standards, guiding transformation of a legacy environment into a streamlined asset.

Join a role that drives data strategy across cloud environments, leveraging deep modelling expertise and collaboration with business stakeholders and data engineers.

Qualifications

• 5+ years of dedicated data modelling experience (not hands-on engineering).
• Hands-on with modern cloud data platforms (Databricks).
• Strong SQL skills; Python/PySpark is a plus.
• Deep knowledge of Data Vault 2.0, Kimball and Inmon methodologies.
• Experience with enterprise modelling tools (ER/Studio, Erwin, Sparx EA).
• Strong soft skills and collaborative, non-confrontational approach.

Responsibilities

• Lead design of enterprise-scale Data Vault 2.0 models on Databricks.
• Define shared analytical models and standards for consistency and trust.
• Interface between business stakeholders and data engineering teams.
• Audit and remediate complex data assets and ensure data integrity.

Skills

Data Vault 2.0

Kimball modeling

Inmon modeling

Databricks

SQL

Python/PySpark

ER/Studio

Erwin

Sparx EA

Soft skills

Tools

Databricks

ER/Studio

Erwin

Sparx EA

Job 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.

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.

Nice to have:

• 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.
• Options to work remotely.