quity Bank Limited (The "Bank”) is incorporated, registered under the Kenyan Companies Act Cap 486 and domiciled in Kenya. The address of the Bank’s registered office is 9th Floor, Equity Centre, P.O. Box 75104 - 00200 Nairobi. The Bank is licensed under the Kenya Banking Act (Chapter 488), and continues to offer retail banking, microfinance and relat...
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• Oversee activities of the junior data engineering teams, ensuring  proper execution of their duties and alignment with the Company objectives.
• Provide oversight and expertise to the Data Engineering that is responsible for the design, deployment, and maintenance of the business’s data platforms. Required to draw performance reports and strategic proposals form his gathered knowledge and analyses results for senior EDO leadership.
• Own and extend the business’s data pipeline through the collection, storage, processing, and transformation of large data- sets and oversee the process for creating and maintaining optimal data pipeline architecture and creating databases optimized for performance, implementing schema changes, and maintaining data  architecture standards across the required databases.
• Oversee the assembly of large, complex data sets that meet functional / non-functional business requirements and align data architecture with business requirements.
• Oversee, design, and develop algorithms for real-time data processing within the business and to create the frameworks that  enable quick and efficient data acquisition. Deploy sophisticated analytics programs, machine learning and statistical methods.
• Build analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Create data tools for analytics and data scientist team members that assist them in building and optimising into an innovative industry leader.
• Monitor the existing metrics, analyse data, and lead partnership with other Data and Analytics teams in an effort to identify and implement system and process improvements.n
• Utilise data to discover tasks that can be automated and identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Acts as a subject matter expert from a data perspective and provides input into all decisions relating to data engineering and the use thereof. Provide guidance in terms of setting governance standards.
• Responsible for performing thorough testing and validation in order to Ensure proper data governance and quality across EDO and the business as a whole.

Qualifications

• Master’s degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field.
• 8 to 10 years Experience in Technology handling data monetization; Including; big data tools: Hadoop, Spark, Kafka, relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
• Experience with stream-processing systems: Storm, Spark- Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• The candidate must also have a proven and successful experience track record of leading high-performing data analyst teams leading through the successful performance of advanced quantitative analyses and statistical modeling that positively impact business performance.
• Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency an

• Senior Data Engineer
• Data Privacy Officer
• Data Solutions Manager
• Senior Data Scientist