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Bright Coders' Factory — our name speaks for us, as our software sits in the hearts of global companies. We provide customers with state-of-the-art technologies. Our potential still grows, which is proven by the Forbes Diamond and Great Place to Work Awards.

We're writing code to make people's lives easier. In BCF, you will find your place and see that your work matters. Our portfolio includes projects from more than 15 industries - so depending on your preferences and stage of career, we're definitely going to find the right one for you.

About position

Designing data warehouses architecture for leading insurance companies. Providing data quality by consulting and supporting the clients projects.


  • At least 5 years of relevant commercial experience
  • Excellent Python programming skills
  • Data Warehouse architecture
  • Commercial experience with Relational Database Management Systems (e.g., Oracle, MS SQL Server and others)
  • Proficiency in SQL
  • Data Modeling and knowledge of designing tools, such as PowerDesigner or similar
  • Strong analytical thinking and experience with SAS or Business Intelligence tools will be a plus

Your responsibilities

  • Design and develop data architecture strategies and solutions to meet business needs and requirements
  • Create and maintain data models, data dictionaries, and metadata repositories
  • Define and enforce data standards, policies, and procedures to ensure data integrity, security, and quality
  • Collaborate with stakeholders to understand data requirements and translate them into technical specifications
  • Identify and evaluate data sources, including internal and external systems, to determine data integration and consolidation approaches
  • Develop data migration and data transformation strategies for moving and converting data across systems
    Design and implement data governance processes to ensure compliance with regulatory and organizational requirements
  • Collaborate with database administrators and developers to optimize data storage, retrieval, and processing
  • Perform data profiling, analysis, and validation to identify data quality issues and recommend improvements
  • Stay informed about emerging data technologies, trends, and best practices to drive innovation and efficiency
  • Provide guidance and support to development teams in designing and implementing database solutions
  • Collaborate with business stakeholders to define data analytics and reporting requirements
  • Develop and maintain data architecture documentation, including data flow diagrams, data models, and data lineage
  • Lead data-related projects and initiatives, ensuring timely delivery and adherence to project goals
  • Train and mentor junior data professionals on data architecture principles and practices
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