Data Integration Engineering Lead
1 week ago
As a key member of the Nedbank team, we are seeking a highly skilled and experienced Head of Data Integration Engineering to lead our data integration efforts. The successful candidate will be responsible for designing and implementing data integration strategies that align with business objectives, building and developing a high-performing data integration team, and overseeing data quality and consistency.
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, including assets and journeys, engineering, data analytics, data governance, and the business, to ensure closer collaboration.
- Stay up-to-date 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 and that all regulatory reporting is supported.
- Unlock the value of the Nedbank data products and drive innovation through data-driven practices that support the commercialization of data.
- 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.
- Master's Degree
- Professional certifications in data integration, data engineering, or a related field
- 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
- 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
- Communication
- Innovation
- Adaptability
- Continuous learning
- Collaborating
- Strategic planning
Please contact the Nedbank Recruiting Team at +27 860 555 566 for more information.
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