• Lead and manage the team of data engineers overseeing performance management and their professional development. • Define and implement the data engineering roadmap, ensuring alignment with the Bank’s strategy. • Design and develop scalable, secure data architectures to support analytics, reporting, and advanced data use cases. • Define best practices for data storage, data modelling and performance optimization. • Drive the effective integration of data from various sources, including third-party APIs, databases, and data lakes. • Oversee the development and maintenance of robust ETL/ELT pipelines for structured and unstructured data. • Optimize data workflows for reliability, performance, and cost-efficiency. • Ensure compliance with data privacy laws, regulations and internal policies. • Collaborate with stakeholders to understand data needs and deliver appropriate solutions. • Act as a key technical advisor for leadership on data trends and emerging technologies. • Manage the data engineering budget, including vendor contracts, tools, and cloud services.

• Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, Information Technology or related field. • A Master’s degree in any of the above fields is an added advantage. • Certifications in widely used cloud platforms and data technologies are also an added advantage. • At least 2 years’ experience in a technical leadership or management position. • Proficiency in programming using languages such as Python, C#, Java, SQL and R. • Familiarity with business intelligence and data visualisation tools such as Power BI, Tableau. • Hands-on experience with relational (e.g. Oracle, SQL Server, MySQL and PostgreSQL) databases and NoSQL databases (e.g. MongoDB and Cassandra). • Experience with cloud platforms and services such as Microsoft Azure and Amazon Web Services. Practical experience with cloud managed database/data warehouse offerings is a plus. • Good understanding of distributed data systems such as Hadoop and Kafka, data modelling, warehousing and data lakes. • Experience with data ETL, pipeline and orchestration tools. • Knowledge of modern DevOps practices such as CI/CD. • Strong understanding of data security best practices especially in financial services e.g. encryption and access control. • Strong knowledge and understanding of data privacy laws and regulations. • Excellent problem-solving, communication and leadership skills. • Ability to lead, mentor and inspire high-performing technical teams. • Must be able to handle pressure with the ability to manage multiple tasks and priorities in a fast-paced environment.

If you believe you meet the requirements as noted above, please forward your application with a detailed CV including present position and copies of relevant professional/academic certificates, to the email address indicated below: Only short-listed candidates will be contacted. Please note that all recruitment terms and conditions as stated in the HR Policies and Procedures Manual shall apply. Vacanciesbank@dfcugroup.com Deadline: Thursday 10th April 2025