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Data Model Engineer

Data Model Engineer

IntellectsoftPoland
3 days ago
Job description

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 (, ER / Studio, ERwin, dbt, SQL Developer Data Modeler).
  • Strong SQL skills and experience with relational and dimensional database modeling (, star and snowflake schemas).
  • Experience with modern data warehouses (, 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 (, via Git).

Nice to have skills

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