Senior Data Modeller

SUMMARY:
Are you a seasoned Senior Data Modeller ready to contribute to a major enterprise transformation programme within the financial services sector?

Our client is embarking on a strategic ERP Roadmap initiative, including the implementation of an EPM Cloud Solution, and requires an experienced Senior Data Modeller to provide dedicated data modelling expertise over an 18-month engagement.

This is a high-impact role where you will help shape the organisation’s data foundation, support business data specialists, influence standards and methodologies, and strengthen data capability across evolving business areas. You will play a key role in enabling trusted, structured and future-ready data solutions that support reliable decision-making and help the organisation deliver on its mandate.

POSITION INFO:

Key Responsibilities

• Designing, implementing and documenting data modelling solutions across relational, dimensional and NoSQL databases.
• Developing and maintaining conceptual, logical and physical data models in line with business and project requirements.
• Identifying and adopting enterprise data modelling standards to support best practice and accelerate modelling efforts.
• Supporting business data specialists with data modelling standards, methodologies, capacity and technical expertise.
• Monitoring, measuring and reporting on data modelling and data development quality levels.
• Ensuring business requirements are accurately reflected in data models and development outputs.
• Taking responsibility for the remediation of data model and data development issues.
• Performing reverse engineering of physical data models from databases and SQL scripts.
• Building and managing effective stakeholder relationships to promote data modelling awareness across the organisation.

Minimum Requirements

• A Bachelor’s degree in Computer Science, Information Management or an equivalent qualification.
• 5 to 8 years’ experience in a data management environment.
• Experience in capacity and performance management.
• Extensive knowledge of data warehousing and multi-dimensional data modelling, including OLAP technologies such as ESSBASE or Microsoft Analysis Services.
• Strong knowledge of system design and data management principles.
• Extensive knowledge of data modelling techniques.
• Strong understanding of common RDBMS technologies such as Oracle, IBM, SQL Server and MySQL.
• Experience deploying or managing big data environments such as Hadoop, Spark and NoSQL.
• Knowledge of database query languages, particularly SQL.
• Experience with programming languages such as Java and C#.
• Experience using a broad variety of integration techniques, patterns, tools and methodologies.

Advantageous Skills and Certifications

• AWS
• Informatica Tool Stack
• SAS
• ERWIN
• Python
• R
• Teradata

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