Lead Data Engineer - Sandton at Absa Group Limited (Absa)

Key Accountabilities:

• Contribute, design and drive book of work for CIB with regards to our Enterprise Library Architecture Strategy. 
• Analyse and Optimise Data, Source Systems, Principles and Patterns to ensure Data Quality and Maturity.
• Implement a data-led culture within the organization with clear accountability and ownership.
• Collaboration with Data Engineering to adopt and derive value from current services through advice, guidance and appropriate governance. 
• Support Data Engineering by translating data-related policies and standards into clear requirements for implementation by all affected teams. 
• Continuously improve the Data Management and Data Governance capabilities by providing both oversight and serving as Subject Matter Expert for CIB.
• Accountable for providing expert advice to inform the effective implementation of data-related policies and controls, striving to create a single data management framework for the related services to be effective.
• Develop and maintain policies, standards and best practice guidelines for adoption of data governance and data management services provided to the bank by Data Engineering.
• Develop and maintain standards and best practice guidelines for Data Engineering to remain compliant with bank policies and assurance requirements.
• Participate in Data Engineering projects to provide guidance on data governance and data management requirements.
• Maintain a register of risks and audit findings, requirements or recommendations related to data management or data governance related to Data Engineering, and assist the impacted teams to address or mitigate these items.
• Support the users of group-wide data management services from Data Engineering
• Training interventions and material to support group adoption of data management services and user upskilling
• Facilitate the resolution of issues raised
• Create a sustainable community of practice across users
• Foster a culture of adding value to the bank and continuous improvement
• Practical performance measures
• Stakeholder management, including communication and improvement areas
• Define and maintain the operating model for data management services and the required governance for consistent use across the group
• Analysis of System data to make informed decisions, and implement strategies for Data Management

Education and experience required 

• Bachelor`s Degrees and Advanced Diplomas: Physical, Mathematical, Computer Science (Required)
• 8+ years relevant experience
• 5 - 8 years’ experience with designing and building, BI systems and complex data eco systems
• 5 + years’ experience working in Big Data environment, optimising and building big data pipelines, architectures and data sets with:
• MSSQL
• SparkSQL
• Hadoop
• Scala
• ETL Tools
• BI and MI Data Analytics (beneficial)

Min 2 years experience in:

• Compliance, risk and Data Management fields
• Managerial/leadership experience
• Risk and audit environment
• AWS – Kinesis, BigData Patterns