Data Modeller for a Major Bank

5 days ago


Stockholm, Stockholm, Sweden Perido AB Full time

About the position

Perido AB is seeking a skilled and proactive Data Modeller to work on behalf of our client, a major bank with a vision to realize dreams and help its customers achieve their goals.

The bank serves over 10 million customers and has offices across Northern Europe. This position is based in central Stockholm.

Key Responsibilities:

  • Collaborate with stakeholders to gather and analyze requirements for data-related projects.
  • Work closely with business analysts, data architects, and software developers to understand data needs.
  • Define database structures to support business operations and analytics.
  • Create and maintain conceptual, logical, and physical data models for databases and data warehouses.
  • Develop and maintain data dictionaries and metadata.
  • Ensure data models align with organizational standards and governance policies.
  • Optimize data structures for performance, scalability, and reliability.
  • Analyze data models for performance bottlenecks and recommend optimizations.
  • Identify and resolve data inconsistencies and redundancy.
  • Implement data solutions on platforms like Hadoop or Hive tables.
  • Provide guidance on data storage solutions (e.g., Hive or cloud-based databases).
  • Use data modeling tools such as Erwin or IBM Data Architect to create models.
  • Develop and enforce data modeling best practices and standards.
  • Document all data models and ensure they are up to date.

Qualifications:

Technical Skills

  • Proficiency in data modeling/data mapping (e.g., Erwin, IBM Data Architect but tool agnostic)
  • Expertise in FSLDM or similar models
  • Familiarity with Big data and relational database systems
  • Familiarity with ETL processes, data warehousing, and cloud technologies.

Knowledge Areas:

  • Data governance frameworks and best practices.
  • Advanced knowledge of data mapping- conceptual, logical, and physical data models
  • Understanding of modern data architectures, such as data lakes and lakehouses (Data product expertise is a plus)


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