Job Vacancies at Co-operative Bank of Kenya

The Role

Specifically, the successful jobholder will be required to:

• Design logical and physical data models that support enterprise-wide information requirements, ensuring alignment between data structures, business processes, and emerging analytical needs.
• Architect data pipelines, storage solutions and frameworks to handle large volumes of data efficiently. 
• Define and maintain the enterprise data architecture, including the selection, integration, and governance of data technologies across big data platforms. 
• Architect and optimize data lake and data lake house environments, capturing data transitions and historical snapshots to support high-performance analytics and advanced reporting.
• Develop and maintain metadata architecture, governing how metadata is created, cataloged, integrated, and accessed across the data analytics platforms. Establish enterprise taxonomies, data dictionaries, and namespaces to ensure consistency and discoverability of data assets.
• Define conceptual and long-term data architecture strategies to meet current and future enterprise data requirements, ensuring adaptability to emerging technologies and business priorities.
• Analyze and document enterprise information needs from operational, analytical, compliance, and regulatory perspectives, ensuring data solutions meet all governing standards.
• Promote architectural best practices, sharing lessons learned, and continuously updating the enterprise data architecture based on evolving big data technologies, market trends, cloud capabilities, and vendor solutions.
• Support strategic decision-making by integrating insights from multiple data sources, applying analytical guidelines, and determining how information can best support business priorities.
• Drive outcomes and ensure quality delivery, managing tasks through completion, prioritizing effectively, and seeking feedback to improve solution quality. 
• Support strong working relationships by collaborating with cross-functional teams, business stakeholders, and technology partners, remaining responsive to changing needs and expectations.
• Demonstrate personal drive and integrity, taking ownership of objectives, showing initiative, and maintaining high levels of motivation to achieve architectural goals.
• Support design and implementation of data privacy by design through the data lifecycle.

Skills, Competencies and Experience

• Bachelor’s Degree in information technology, engineering or related discipline.
• Expert knowledge across multiple technology platforms, business processes and enterprise architecture.
• At least 5 years’ experience in enterprise infrastructure or data design and planning and similar experience in application development or architectural design of enterprise application using key development tools and frameworks (Java, .net, PHP, JavaScript, HTML, CSS, UML, etc.) 
• Expert knowledge in SQL/PLSQL and data modelling.
• TOGAF certification will be an added advantage. 
• Demonstrated experience in working with or leading a Service Oriented Architecture (SOA) integration environment.
• Strong background in understanding organizational resources, priorities, needs and policies, and use of the same in developing IT strategies and solutions.
• Excellent presentation, communication and negotiation skills. Communicates with influence, confidently presenting communications in a clear, concise and articulate manner, focusing on key points and using appropriate, unambiguous language, selecting the most appropriate medium for conveying information, and structuring written and oral communication to ensure clarity.
• Analytical with good project management and team leadership skills. 
• Knowledge in the use of notable data management tools.

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The Role 

Specifically, the successful jobholder will be required to:

• Gather information from business users to understand their detailed requirements and expectations, analyze business/use case requirements from BI analysts to determine operational problems, define data modelling requirements and develop data structures to support the generation of business insights and strategy.
• Carry out analysis of requirements and recommend solutions to address user requirements. 
• Assist in preparing system definition/specification by the users highlighting technical requirements and roll out BI Solutions to stakeholders.
• Identify, analyze and interpret trends or patterns in complex data sets using statistical techniques and provide reports. 
• Creation, scheduling, testing, deployment, and maintenance, of data pipeline from different source to required destination with the required transformations for reporting (ETL).
• Design, build, and optimize data ingestion pipelines from structured and unstructured sources
• Ensure data quality, lineage, and governance through automated checks and metadata management.
• Implement CI/CD for data pipelines including automated testing, version control, and rollbacks.
• Create reusable pipeline components and templates to accelerate onboarding of new data sources.
• Develop and maintain data models, warehouse layer, lakehouse zones. 
• Build and automate end-to-end ML pipelines integrating training, validation, deployment, and monitoring.
• Create feature pipelines, model training pipelines, and batch/real-time prediction services.
• Manage ML model versioning, metadata tracking, and reproducibility
• Build visualizations to summarize and make presentations to business and other key stakeholders. Filter, clean data and review reports, print outs and performance indicators to locate and correct code problems.
• Secure BI solutions by putting adequate controls and restrict access to programs by users in accordance to the requirements of the Bank.
• Guide the business in drawing report formats & wireframes and advice on the best approach to transform data and automate reports as well as Design and code reports/dashboards according to user specification with the key objective to deliver reports that will assist in decision-making and control.
• Develop and maintain documentation/manuals on system configuration or set up, carry out technical user training as required to enable users interpret BI reports as well as deal with data, dashboards and report queries from users and resolve or advise them accordingly.

Skills, Competencies and Experience

The successful candidate will be required to have the following skills and competencies:

• Bachelor of Science degree in Computer Science, IT, Software Engineering, or any other degree in related fields.
• A minimum of 3 years’ experience in Data engineering, BI & Software Development using Oracle.
• Strong knowledge and experience with ETL tools (Oracle ODI, Microsoft SSIS,Talend), query languages (Oracle PL/SQL, SQL), programming languages (Java, Python, Scala)
• Experience with Dimensional data modeling, data management and data processing. Knowledge of statistics and experience using statistical packages in analyzing large data sets (Python,R, SPS, SAS, Excel etc.) 
• Experience in CI/CD and automation tools (GitLab CI, Jenkins, Argo, etc.).
• Experience with Big data tools (Hadoop, Apache Hive, Scala, Kafka, Apache Spark, NoSQL da) 
• Knowledge of visualization tools (Oracle Analytics Server, Power BI, SSRS, Tableau, click view)
• Technical expertise regarding data models, database design development, data mining and segmentation techniques is desired.
• Very good knowledge of Windows Operating Systems and a fair knowledge of Unix & Linux.