WFS Data Modeler

Requirements<\/h3>

Main Purpose<\/b>
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As\na Data Modeler, you will be responsible for designing and implementing\nconceptual, logical, and physical data models that support WFS\u2019s cloud\-native\narchitecture. You will work cross\-functionally with data engineers, analysts,\nand product teams to translate business requirements into scalable data\nstructures, ensuring performance, consistency, and compliance across the data\necosystem.<\/span>
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Key Responsibilities<\/b><\/span>
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• Design and\n maintain conceptual, logical, and physical data models.<\/span><\/span>
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• Implement\n models across AWS services (Redshift, RDS, S3, Glue, DynamoDB)<\/span>
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• Establish\n and enforce data modelling standards, naming conventions, and metadata\n practices.<\/span>
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• Collaborate\n with business stakeholders to translate needs into efficient data\n structures.<\/span>
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• Optimize\n data models for performance, scalability, and cost\-efficiency in the\n cloud.<\/span>
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• Ensure data\n integrity, lineage, and governance through modelling best practices.<\/span>
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• Support\n secure, compliant, and well\-documented data architecture design.<\/span>
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• Participate\n in data integration and transformation efforts across systems.<\/span>
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• Maintain and\n update ER diagrams, data dictionaries, and related documentation. <\/span>
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  Benefits<\/h3>

  Key Competencies<\/b>
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  • Bachelor\u2019s degree in computer\n science, Information Systems, Data Science, or related.<\/span><\/span>
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  • 3+ years of hands\-on\n experience in data modelling and architecture<\/b>.<\/span>
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  • Strong command of AWS data\n services<\/b>: Redshift, RDS, S3, Glue, Athena, DynamoDB.<\/span>
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  • Proficient in SQL<\/b> and\n data modelling tools (ER/Studio, ERwin, dbt, etc.).<\/span>
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  • Experience with relational,\n dimensional, and NoSQL modelling<\/b>.<\/span>
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  • Understanding of streaming\n platforms<\/b> (e.g., Kafka, Kinesis).<\/span>
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  • Experience with data\n warehouse and Lakehouse architectures<\/b>.<\/span>
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  • Familiar with Agile\n methodologies and cross\-functional team collaboration.<\/span>
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    Preferred\nQualifications<\/span><\/b>
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    • Hands\-on experience with Confluent\n Cloud and Kafka<\/b>.<\/span><\/span><\/span>
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    • Understanding of data governance\n frameworks<\/b> and cataloguing tools.<\/span>
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    • Exposure to CI/CD, Terraform,\n and DataOps pipelines<\/b>.<\/span>
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    • AWS certification (e.g., Data\n Analytics or Solutions Architect) is a plus.<\/span>
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      Key\nCompetencies<\/span><\/b>
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      • Excellent communication and\n documentation skills.<\/span><\/span>
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      • Ability to simplify complex data\n concepts for diverse audiences.<\/span>
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      • Proactive, collaborative, and\n solution\-oriented mindset.<\/span>
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        What\nWe Offer<\/span><\/b>
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        • A cloud\-native environment focused\n on innovation and learning.<\/span><\/span>
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        • Opportunities for professional\n development and AWS certification support.<\/span>
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        • Competitive compensation and\n benefits.<\/span>
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        • Flexible work options, including\n hybrid or remote work.<\/span>
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        • A culture of collaboration and\n data\-driven impact.<\/span>
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          PERSONAL ATTRIBUTES:<\/b><\/span>
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          • Curiosity and passion for understanding of\n technology<\/span><\/span><\/span>
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          • Analytical, with an affinity to solve problems<\/span>
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          • Ability to work under pressure in a fast paced,\n dynamic environment<\/span>
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          • Eager to embrace unfamiliar situations with a\n positive mind\-set<\/span>
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          • Hard working and results driven<\/span>
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          • Team player<\/span>
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          • Excellent communication skills<\/span>
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            Closing Date: 26 September 2025<\/b><\/div><\/span>