Family Bank Ltd – Data Engineer.

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About the job


Are you a go getter, positive minded individual who fits the role profile captured below? There is an opportunity for ambitious, self-driven individuals to fill the above position?

Reporting to: Chief Finance Officer

Job Purpose:

Working within the Business Intelligence unit, the purpose of this job will be: architecting, building, testing, and maintaining the data platform to support the business focus of driving Insights, Analytics, and Data.

Key Responsibilities:

  • Architecture design: Envision and designing the architecture of the data platform in line with business requirements.
  • Development of data related instances: Develop, customize and manage integration tools, databases, warehouses, and analytical systems.
  • Data pipeline maintenance: Responsible for Maintenance and monitoring of the overall performance and stability of the system.
  • Machine learning algorithm deployment: Responsible for deploying of Machine learning models to production environments. This entails, configuring data attributes, managing computing resources, setting up monitoring tools, etc.
  • Manage data and meta-data: Responsible for managing the data stored and structuring it properly via database management systems.
  • Any other official duties that may be allocated from time to time by management.

The Person:

The ideal candidate must possess the following:


  • Graduate degree in Computer Science, Mathematics, Physics, Statistics, Engineering, Informatics, Information Systems or another quantitative.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Experience with data pipeline and workflow management tools: Luigi, Airflow, etc.
  • Experience with object-oriented/object function scripting languages.
  • 2-5 years’ experience in technology/data analytics

Key Competencies and Attributes:

  • Demonstrate knowledge and interest in emerging technologies within the big data space.
  • Hands-on experience with ETL tools
  • BI tools knowledge.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Innovation and creativity.
  • Ability to take business requirements and create technology solutions.

ALL applicants MUST apply online to the email;; closing date is 18th June 2022. Canvassing will automatically disqualify the candidate. Only shortlisted candidates will be contacted.




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