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Intellectsoft

Data Model Engineer

Intellectsoft
Ukraine · Full-time · Mid-Senior

Join our team in building a modern, high-impact Analytical Platform for one of the largest integrated resort and entertainment companies in Southeast Asia. This platform will serve as a unified environment for data collection, transformation, analytics, and AI-driven insights—powering decisions across marketing, operations, gaming, and more.

You'll work closely with Data Architects, Data Engineer, Business Analyst and DevOps Engineers to design and implement scalable data solutions.

Requirements

  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field
  • 3+ years of experience in data modeling, data architecture, or data engineering roles
  • Proficiency with data modeling tools (e.g., ER/Studio, ERwin, dbt, SQL Developer Data Modeler)
  • Strong SQL skills and experience with relational and dimensional database modeling (e.g., star and snowflake schemas)
  • Experience with modern data warehouses (e.g., Snowflake, Redshift, Yellowbrick) and ETL/ELT tools
  • Understanding of data governance, metadata management, and data cataloging tools
  • Experience collaborating in Agile/Scrum teams and working with version-controlled data models (e.g., via Git)

Nice To Have Skills

  • Experience working with data lakehouse architectures or modeling for big data environments (e.g., Delta Lake, Apache Iceberg)
  • Familiarity with business intelligence tools (e.g., Tableau, Power BI, Looker)
  • Knowledge of data quality frameworks and observability best practices
  • Experience working in regulated industries (e.g., gaming, finance, hospitality)

Responsibilities:

  • Design and implement conceptual, logical, and physical data models that support enterprise reporting, analytics, and operational processes
  • Develop and maintain data dictionaries, entity-relationship (ER) diagrams, and metadata management solutions
  • Collaborate with data engineers to optimize data structures and ensure proper integration with data pipelines
  • Translate complex business requirements into scalable and efficient data models
  • Enforce data modeling best practices, including normalization, denormalization, indexing, and partitioning strategies
  • Ensure data models are aligned with master data and data governance standards
  • Conduct model reviews and provide documentation and training to technical and non-technical stakeholders
  • Participate in performance tuning and troubleshooting of large-scale data models and queries

Benefits

  • 35 absence days per year for work-life balance
  • Udemy courses of your choice
  • English courses with native-speaker
  • Regular soft-skills trainings
  • Excellence Сenters meetups
  • Online/offline team-buildings
  • Business trips

Key Skills

Ranked by relevance

sql data structures power bi big data tableau devops apache ai
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Posted
Jul 08, 2025
Type
Full-time
Level
Mid-Senior
Location
Ukraine

Industries

IT Services IT Consulting

Categories

Information Technology

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