Ensure the effective functioning and maintenance of all printing and manufacturing equipment, implementing preventative maintenance programs to minimize downtime.
Own and maintain data pipeline infrastructure across iCORE’s data workstreams, including pipelines supporting iCORE dashboards built on SAP ERP, Snowflake, and Power BI.
Proficiency in at least one programming language (e.g. R, Python). Familiarity with Databricks, SparkR, PySpark or working with large datasets will be advantageous
Professional certifications in data science / ML engineering / business analytics from accredited professional bodies coupled with a few years of related working experience for graduates from other disciplines, are also acceptable for the position.
The Data Modeler primarily supports the Protect pillar of the group data strategy. The role will be responsible for the design and delivery of data platforms and assets, ensuring robust data governance, and driving improvement and growth for the bank’s data. The role provides data modelling and management consultancy and best practice guidance to project teams and within the data asset, modelling, governance, business analysis, product design and architecture community.
Proficiency in at least one programming language (e.g. R, Python). Familiarity with Databricks, SparkR, PySpark or working with large datasets will be advantageous
Proficiency in at least one programming language (e.g. R, Python). Familiarity with Databricks, SparkR, PySpark or working with large datasets will be advantageous
Proficiency in at least one programming language (e.g. R, Python). Familiarity with Databricks, SparkR, PySpark or working with large datasets will be advantageous
Own and maintain data pipeline infrastructure across iCORE’s data workstreams, including pipelines supporting iCORE dashboards built on SAP ERP, Snowflake, and Power BI.
You will design and implement consent management policies, data sharing safeguards, and compliance validation processes that enable trusted, scalable data flows across partner organisations with varying technical capabilities and institutional priorities.
Develop and implement comprehensive data management & AI governance policies, processes and controls in accordance with WoG requirements, such as the Public Service Governance Act and the IM8, and industry best practices.
Proficiency in at least one programming language (e.g. R, Python). Familiarity with Databricks, SparkR, PySpark or working with large datasets will be advantageous
Professional certifications in data science / ML engineering / business analytics from accredited professional bodies coupled with a few years of related working experience for graduates from other disciplines, are also acceptable for the position.