Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Business Analytics, or a related field.
5+ years of experience in data modeling, data warehousing, or data architecture, with hands-on experience designing conceptual, logical, and physical data models in enterprise environments.
Strong knowledge of SQL, dimensional modeling, and modern data platforms, with experience in Azure Data Platform, Databricks, Lakehouse architecture, or similar cloud-based data ecosystems.
...
Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Business Analytics, or a related field.
5+ years of experience in data modeling, data warehousing, or data architecture, with hands-on experience designing conceptual, logical, and physical data models in enterprise environments.
Strong knowledge of SQL, dimensional modeling, and modern data platforms, with experience in Azure Data Platform, Databricks, Lakehouse architecture, or similar cloud-based data ecosystems.
...
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
Develop, deploy, and maintain scalable machine learning models and high-quality Python code, ensuring robust, reliable, and production-ready solutions.
Analyse, troubleshoot, and optimize model performance by understanding both code and model behaviour, with a strong focus on explainability and continuous improvement.
...
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
Develop, deploy, and maintain scalable machine learning models and high-quality Python code, ensuring robust, reliable, and production-ready solutions.
Analyse, troubleshoot, and optimize model performance by understanding both code and model behaviour, with a strong focus on explainability and continuous improvement.
...
Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Business Analytics, or a related field.
5+ years of experience in data modeling, data warehousing, or data architecture, with hands-on experience designing conceptual, logical, and physical data models in enterprise environments.
Strong knowledge of SQL, dimensional modeling, and modern data platforms, with experience in Azure Data Platform, Databricks, Lakehouse architecture, or similar cloud-based data ecosystems.
...
Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Business Analytics, or a related field.
5+ years of experience in data modeling, data warehousing, or data architecture, with hands-on experience designing conceptual, logical, and physical data models in enterprise environments.
Strong knowledge of SQL, dimensional modeling, and modern data platforms, with experience in Azure Data Platform, Databricks, Lakehouse architecture, or similar cloud-based data ecosystems.
...
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
Develop, deploy, and maintain scalable machine learning models and high-quality Python code, ensuring robust, reliable, and production-ready solutions.
Analyse, troubleshoot, and optimize model performance by understanding both code and model behaviour, with a strong focus on explainability and continuous improvement.
...
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
Develop, deploy, and maintain scalable machine learning models and high-quality Python code, ensuring robust, reliable, and production-ready solutions.
Analyse, troubleshoot, and optimize model performance by understanding both code and model behaviour, with a strong focus on explainability and continuous improvement.
...