SNIActive opening

Data Modeler

Remote (Poland)Remote (region-locked)Individual contributorFound today
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SNI is serving as a trusted IT Outsourcing partner in line with the needs of World's most prestigious firms and carried out successful projects worldwide.

Responsibilities:

  • Design and maintain conceptual, logical, and physical data models adhering to established methodologies (e.g., Kimball dimensional modeling, Data Mesh).

  • Define, specify, and document data transformation logic, lineage, and integration rules between source systems and analytical targets.

  • Propose, evaluate, and document data modeling and integration solutions aligned with enterprise data strategy and functional business needs.

  • Collaborate closely with business analysts, source-system SMEs, data engineers, platform architects, and product owners across all delivery stages.

  • Ensure data models incorporate performance optimization, scalability, governance, and cloud cost-efficiency from inception.

  • Produce and maintain comprehensive technical documentation, metadata standards, and data dictionary assets.

  • Communicate architectural concepts, data flows, and modeling trade-offs effectively to both technical teams and business stakeholders.

Skills:

  • 2+ years of professional experience in data modeling, with hands-on focus on dimensional modeling (Star Schema, Snowflake Schema, Kimball methodology).

  • Proficient SQL skills for complex data querying, validation, transformation logic design, and performance profiling.

  • Practical knowledge of data warehousing concepts, ETL/ELT pipelines, and modern cloud analytical data architectures (e.g., Data Mesh, Data Lakehouse).

  • Demonstrated ability to create clear conceptual, logical, and physical ER diagrams and comprehensive mapping documentation.

  • Strong analytical mindset with the ability to bridge business requirements with underlying source-system schemas.

  • Fluency in Polish and English (

Nice to have:

  • Hands-on experience with cloud data platforms (e.g., Snowflake, BigQuery, Databricks, AWS Redshift, Azure Synapse).

  • Familiarity with data modeling and metadata management tools (e.g., Erwin, PowerDesigner, ER/Studio, dbt).

  • Experience with CI/CD practices and version control (Git) applied to database schemas and transformation logic.

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SNIData Modeler
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