This function is responsible for assisting the Strategy & Data Office to develop the essential infrastructure required to empower our dynamic Data Science team. Your contributions will be instrumental in enabling our Data Science team to provide comprehensive, pan-bank data-driven insights that fuel data-led decision-making across the organization. You will be at the forefront of gathering, storing, aggregating, and modeling data into building blocks, enabling us to harness the power of data effectively. Moreover, you will be responsible for driving the implementation of the bank’s ambitious big data strategy, positioning us at the forefront of innovation and technological advancement in the financial sector.

Under the supervision of the Head, Strategy & Data, the following are among the Job Key Responsibilities:

Spearhead the development of automated data pipelines to streamline data ingestion, transformation, and loading processes

Drive the development of complex data integration solutions that meet both current and future business requirements

Innovate ETL and ELT processes to enhance data workflow efficiency and data quality

Lead the charge in continuously enhancing our data infrastructure systems, ensuring they remain at the forefront of technological advancement

Collaborate with cross-functional teams to implement innovative features and functionalities within our data ecosystem

Oversee the 24/7 operation of our data infrastructure systems, proactively identifying and addressing potential issues to maintain optimal performance

Develop and implement disaster recovery and business continuity strategies to safeguard critical data assets

Utilize expertise to troubleshoot and resolve complex data-related issues promptly

Establish a robust root cause analysis framework to prevent the recurrence of data disruptions

Spearhead the development of data products and features, aligning them with the bank’s strategic goals and objectives

Foster an agile and collaborative environment for cross-functional teams working on data product development

Implement a visionary data architecture that can handle large data volumes, ensuring optimal data extraction, transformation, and loading

Collaborate with architects to evaluate emerging data technologies and integrate them into our ecosystem where appropriate

Execute data acquisition and consumption methods aligned with the organization’s evolving technical landscape

Identify opportunities for data enrichment and external data source integration

Develop and enforce quality assurance protocols, ensuring all data processes adhere to best practices and industry standards

Collaborate with teams to establish data governance frameworks that foster data stewardship and accountability

Proactively identify and mitigate data management challenges to enhance overall data quality.

Drive initiatives to standardize and centralize data management processes

Collaborate closely with data analysts and business partners to enhance the analytical capabilities of our data pipeline

Innovate reporting solutions and dashboards that facilitate informed decision-making

Cultivate strong partnerships with stakeholders from various business units, offering expertise to address data-related challenges and opportunities

Collaborate with cross-functional teams to ensure alignment with data infrastructure needs

Drive innovation through the automation of critical business solutions and processes e.g. automating reconciliation processes.

Explore emerging tools and technologies to enhance data pipeline efficiency and reliability

Any other responsibilities or tasks as maybe assigned by management.

INTERNAL/EXTERNAL CONTACT

External: Vendors, Consultants, Industry Networks

Internal: All internal Business Units

QUALIFICATIONS AND EXPERIENCE

Grade 12 Certificate with Credit or above mandatory in Mathematics and English and any other three subjects

Bachelor’s Degree in Computer Science, Data Science, Mathematics, Engineering or a relevant field

Minimum of five (5) years of experience in data engineering roles, including expertise in SQL, Python, ETL, data warehousing, big data platforms, and advanced data analytics

CORE COMPETENCIES

• Programming Proficiency
• Data Engineering Mystery
• Clinical and attentive to detail
• Stakeholder Management
• Analytical Skills/ Problem solving
• Self-Management / Organizational skills
• Drive for results
• Accountability
• Teamwork-Collaboration
• Very good Communication, Presentation and Reporting skills.