- Design and implement advanced data integration pipelines and ETL (Extract, Transform, Load) processes.
- Architect scalable integration solutions across multiple systems and platforms.
- Ensure optimal data flow and system interoperability through efficient API and service-based integrations.
- Oversee data governance practices and ensure adherence to organisational standards.
- Maintain high levels of data quality, consistency, and integrity across all integrated environments.
- Establish and enforce best practices for integration security, compliance, and performance monitoring.
- Engage with stakeholders to understand business and technical requirements for data integration.
- Translate integration needs into detailed design specifications and actionable implementation plans.
- Partner with development, data, and business teams to deliver end-to-end data integration solutions.
- Diagnose and resolve integration and data flow issues in production and testing environments.
- Optimise integration workflows for scalability, reliability, and performance efficiency.
- Continuously review and enhance existing integration processes to support evolving business needs.
- Provide technical guidance and mentorship to junior and mid-level data integration team members.
- Promote knowledge sharing, best practices, and continuous improvement within the team.
- Contribute to technical strategy, design reviews, and architectural decisions.
Requirements
- Degree in Information and Communication Technology (ICT) or related field (Computer Science, Software Engineering, or Information Systems).
- Minimum of 5 years’ experience working with SQL, ETL tools, and APIs.
- At least 3 years’ experience in data integration within an agile-scrum environment and enterprise organisations (>1000 users).
- Advanced proficiency in SQL, ETL tools (e.g., SSIS, Talend, Informatica, Azure Data Factory), and data integration frameworks.
- Strong experience with API management, data warehousing, and cloud-based integration platforms.
- Deep understanding of data governance, metadata management, and data quality principles.
Desired Skills:
- Data warehousing
- Cloud
- Data profiling and quality
- SQL
- Reporting and Visualizing
- ETL Concepts
Desired Qualification Level:
- Diploma
About The Employer: