Financial Services Data Management

Description:

Requisition Details

Cluster: Group Finance

Location: Sandton

Closing date: 18 April 2025

Job Family

Career Stream

Leadership Pipeline

Job Purpose

We require a Big Data Specialist to assist with harmonising data from diverse sources, to analyse, problem solve, reconcile, develop solutions and build reporting in various tool sets, to enable Business understanding and decision making.

Job Responsibilities

1. Data Integration, harmonisation and reporting:

• Collaborate with cross-functional teams to understand data requirements.
• Design and implement efficient data pipelines using Abinitio and Denodo.
• Extract, transform, analyse and or load data from various sources.
• Leverage SAP connectors to seamlessly integrate SAP data.

2. Data Consolidation and Harmonization:

• Pull data from multiple sources (including SAP, legacy systems, APIs, and external databases).
• Develop strategies to ensure data consistency, accuracy, and reliability.
• Create unified views of data for reporting reconciliation and analytics purposes.

3. Performance Optimization:

• Identify bottlenecks and optimize data processing workflows.
• Monitor and fine-tune production jobs to ensure optimal performance and reconciliation of various data sources.

4. Data Modeling and Architecture:

• Design and maintain data models that facilitate efficient querying and reporting.
• Optimize data structures for scalability and responsiveness.
• Enhance data flows and provide specifications for IT architecture builds

5. Governance:

• Develop governance frameworks for data flows
• Design appropriate controls to monitor masterdata and financial reconciliation

6. Collaboration and Documentation:

• Work closely with data engineers, data scientists, and business stakeholders.
• Document data integration processes, best practices, and troubleshooting guidelines for Business

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Minimum of 3 years of experience in big data technologies, including Abinitio and Denodo.
• Proficiency in SAP connectors and hands-on experience integrating SAP data.
• Strong understanding of data modeling, ETL processes, and data warehousing concepts.
• Familiarity with cloud-based big data platforms (e.g.,Azure, GCP) is advantageous.
• Excellent problem-solving skills and ability to work independently
• Deep understanding of SAP on premise, S4Hana, BW4Hana, Denodo

Technical / Professional Knowledge

• Governance, Risk and Controls
• Organisational behaviour theory
• Principles of project management
• Relevant regulatory knowledge
• Stakeholder management
• Strategic planning
• Talent management
• Business writing skills
• Management information and reporting principles, tools and mechanisms
• Client Service Management

Behavioural Competencies

• Building Partnerships
• Customer Focus
• Decision Making
• Facilitating Change
• Inspiring others
• Business Acumen
• Building Organizational Talent
• Compelling Communication

Requirements:

Requisition Details

Cluster: Group Finance

Location: Sandton

Closing date: 18 April 2025

Job Family

Career Stream

Leadership Pipeline

Job Purpose

We require a Big Data Specialist to assist with harmonising data from diverse sources, to analyse, problem solve, reconcile, develop solutions and build reporting in various tool sets, to enable Business understanding and decision making.

Job Responsibilities

1. Data Integration, harmonisation and reporting:

• Collaborate with cross-functional teams to understand data requirements.
• Design and implement efficient data pipelines using Abinitio and Denodo.
• Extract, transform, analyse and or load data from various sources.
• Leverage SAP connectors to seamlessly integrate SAP data.

2. Data Consolidation and Harmonization:

• Pull data from multiple sources (including SAP, legacy systems, APIs, and external databases).
• Develop strategies to ensure data consistency, accuracy, and reliability.
• Create unified views of data for reporting reconciliation and analytics purposes.

3. Performance Optimization:

• Identify bottlenecks and optimize data processing workflows.
• Monitor and fine-tune production jobs to ensure optimal performance and reconciliation of various data sources.

4. Data Modeling and Architecture:

• Design and maintain data models that facilitate efficient querying and reporting.
• Optimize data structures for scalability and responsiveness.
• Enhance data flows and provide specifications for IT architecture builds

5. Governance:

• Develop governance frameworks for data flows
• Design appropriate controls to monitor masterdata and financial reconciliation

6. Collaboration and Documentation:

• Work closely with data engineers, data scientists, and business stakeholders.
• Document data integration processes, best practices, and troubleshooting guidelines for Business

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Minimum of 3 years of experience in big data technologies, including Abinitio and Denodo.
• Proficiency in SAP connectors and hands-on experience integrating SAP data.
• Strong understanding of data modeling, ETL processes, and data warehousing concepts.
• Familiarity with cloud-based big data platforms (e.g.,Azure, GCP) is advantageous.
• Excellent problem-solving skills and ability to work independently
• Deep understanding of SAP on premise, S4Hana, BW4Hana, Denodo

Technical / Professional Knowledge

• Governance, Risk and Controls
• Organisational behaviour theory
• Principles of project management
• Relevant regulatory knowledge
• Stakeholder management
• Strategic planning
• Talent management
• Business writing skills
• Management information and reporting principles, tools and mechanisms
• Client Service Management

Behavioural Competencies

• Building Partnerships
• Customer Focus
• Decision Making
• Facilitating Change
• Inspiring others
• Business Acumen
• Building Organizational Talent
• Compelling Communication

• Collaborate with cross-functional teams to understand data requirements.
• Design and implement efficient data pipelines using Abinitio and Denodo.
• Extract, transform, analyse and or load data from various sources.
• Leverage SAP connectors to seamlessly integrate SAP data.

• Pull data from multiple sources (including SAP, legacy systems, APIs, and external databases).
• Develop strategies to ensure data consistency, accuracy, and reliability.
• Create unified views of data for reporting reconciliation and analytics purposes.

• Identify bottlenecks and optimize data processing workflows.
• Monitor and fine-tune production jobs to ensure optimal performance and reconciliation of various data sources.

• Design and maintain data models that facilitate efficient querying and reporting.
• Optimize data structures for scalability and responsiveness.
• Enhance data flows and provide specifications for IT architecture builds

• Develop governance frameworks for data flows
• Design appropriate controls to monitor masterdata and financial reconciliation

• Work closely with data engineers, data scientists, and business stakeholders.
• Document data integration processes, best practices, and troubleshooting guidelines for Business

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Minimum of 3 years of experience in big data technologies, including Abinitio and Denodo.
• Proficiency in SAP connectors and hands-on experience integrating SAP data.
• Strong understanding of data modeling, ETL processes, and data warehousing concepts.
• Familiarity with cloud-based big data platforms (e.g.,Azure, GCP) is advantageous.
• Excellent problem-solving skills and ability to work independently
• Deep understanding of SAP on premise, S4Hana, BW4Hana, Denodo

• Governance, Risk and Controls
• Organisational behaviour theory
• Principles of project management
• Relevant regulatory knowledge
• Stakeholder management
• Strategic planning
• Talent management
• Business writing skills
• Management information and reporting principles, tools and mechanisms
• Client Service Management

• Building Partnerships
• Customer Focus
• Decision Making
• Facilitating Change
• Inspiring others
• Business Acumen
• Building Organizational Talent
• Compelling Communication