Data Integration Lead

1 week ago

Johannesburg, Gauteng, South Africa Nedbank Full time
Job Summary

We are seeking a highly skilled and experienced Data Integration Lead to join our team at Nedbank. The successful candidate will be responsible for leading and managing our data integration and data warehousing initiatives, ensuring the effective and efficient flow of data across the enterprise.

Key Responsibilities
  • Design and implement data integration strategies and align these initiatives with business objectives.
  • Build and develop a team of data engineers and lead engineers to create a high-performing data integration team.
  • Oversee data quality and consistency, enforcing data standards and quality through the data pipelines.
  • Work closely with cross-functional teams to ensure that data is used effectively to support business decision-making.
  • Keep abreast with industry trends, adopting new technologies and ensuring our best practices are world-class.
  • Ensure that the data warehouse and enterprise data marts are governed and controlled to ensure compliance with regulatory requirements.
  • Unlock the value of our data products and drive innovation through data-driven practices that support commercialization.
  • Manage the team effectively and efficiently across the HR value chain, including recruitment, performance management, retention of critical staff, succession planning, and coaching and talent management.
  • In collaboration with Group Technology, lead the development and maintenance of overall data architecture to align data integration efforts with overall IT strategy.
  • Oversee and guide the design and implementation of robust data pipelines for various data sources and the selection and management of data integration tools and platforms.
  • Develop strategies for efficient data integration across the organization.
  • Oversee and prioritize the seamless data flow between different systems and applications.
  • Implement real-time data streaming solutions for operational needs.
  • Develop efficient processes to extract data from trusted sources systems (Core Banking, Treasury, Trade Finance, Risk Systems, etc.).
  • Provide guidance and manage the transformation of data into standardized formats suitable for analysis and reporting.
  • Implement processes for loading data into the data warehouse and enterprise mart and provisioning data to LoB in a timely and accurate manner.
  • Build and manage operational data stores for real-time decision support.
Requirements
  • Master's Degree.
  • 7-10 years of experience in data integration and engineering roles.
  • Experience in managing a team of data professionals.
  • Experience in developing and implementing data integration tools and techniques to drive business value.
  • Experience in working with cross-functional teams.
Technical/Professional Knowledge
  • Data architecture, tooling, and infrastructure.
  • Data integration and data streaming.
  • Operational data management.
  • Data storage and archiving.
  • ETL processes.
  • Performance optimization.
  • Cross-functional leadership.
  • Data security frameworks.
  • Change management.
  • Analytical thinking.
Behavioural Competencies
  • Communication.
  • Innovation.
  • Adaptability.
  • Continuous learning.
  • Collaborating.
  • Strategic planning.

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