Data Engineer, CIB Operations

at  Standard Bank

Job Overview
Business Segment: Corporate & Investment Banking
Location: ZA, undefined, Johannesburg, Simmonds Street 5
Job Type: Full-time
Job ID: 80424380
Date Posted: 5/7/2024
Job Description
To transform the user experience of CIB Operations’ services through the prioritisation and execution of impactful and data driven solutions (Intelligent Process Model) to drive future relevance of business and optimisation of services in alignment with strategy.
To research, analyse and interpret client/market/business data and deliverables to support implementation of strategic transformation initiatives and continuously improve operational efficiency.
To deliver against strategic objectives and thresholds to meet stakeholder expectations and contribute to delivery of CIB Operations future relevance aligned to strategy.
Part of the Data Products & Insights portfolio for the global CIB Operations business, the role requires:
Designing, maintaining, and optimising data infrastructure for data collection, management, transformation, and access.
Creating pipelines that convert raw data into usable formats for data analysts/scientists and other data consumers to transform data into actionable and valuable commodities.
To design, build, test, and operationalise, secure and monitor data pipelines and data stores to applicable architecture, solution designs, standards, policies, and governance requirements.
Contribute toward the creation of commercially viable and widely available data products.
Work alongside a team of data professionals to leverage data products and insights to drive transformation at all levels towards the CIB Operations future state.
Critical focus areas in the Intelligent Transformation value chain:
Decide – Position objective data insights to ratify business cases of new solutions and drive decision making.
Execute – Utilise data to track execution of new solutions and continuous improvement of Operations environments.
Realise Value – Proactively track benefits realisation with observable and timely data points.

Please refer the Job description for details