Specialist Data Engineer (KE) job at Absa Bank Limited
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Specialist Data Engineer (KE)
2025-06-21T07:50:04+00:00
Absa Bank Limited
https://cdn.greatkenyanjobs.com/jsjobsdata/data/employer/comp_5295/logo/Absa%20Bank%20Limted.png
FULL_TIME
 
Kenya
Nairobi
00100
Kenya
Banking
Science & Engineering
KES
 
MONTH
2025-06-30T17:00:00+00:00
 
Kenya
8

Job Description

  • Data Architecture & Data Engineering
  • Understand the technical landscape and bank wide architecture that is connected to or dependent on the business area supported in order to effectively design & deliver data solutions (architecture, pipeline etc.)
  • Translate / interpret the data architecture direction and associated business requirements & leverage expertise in analytical & creative problem solving to synthesise data solution designs (build a solution from its components) beyond the analysis of the problem
  • Participate in design thinking processes to successfully deliver data solution blueprints
  • Leverage state of the art relational and No-SQL databases as well integration and streaming platforms do deliver sustainable business specific data solutions.
  • Design data retrieval, storage & distribution solutions (and OR components thereof) including contributing to all phases of the development lifecycle e.g. design process
  • Develop high quality data processing, retrieval, storage & distribution design in a test driven & domain driven / cross domain environment
  • Build analytics tools that utilize the data pipeline by quickly producing well-organised, optimized, and documented source code & algorithms to deliver technical data solutions
  • Create & Maintain Sophisticated CI / CD Pipelines (authoring & supporting CI/CD pipelines in Jenkins or similar tools and deploy to multi-site environments – supporting and managing your applications all the way to production)
  • Automate tasks through appropriate tools and scripting technologies e.g. Ansible, Chef
  • Debug existing source code and polish feature sets.
  • Assemble large, complex data sets that meet business requirements & manage the data pipeline
  • Build infrastructure to automate extremely high volumes of data delivery
  • Create data tools for analytics and data science teams that assist them in building and optimizing data sets for the benefit of the business
  • Ensure designs & solutions support the technical organisation principles of self-service, repeatability, testability, scalability & resilience
  • Apply general design patterns and paradigms to deliver technical solutions
  • Inform & support the infrastructure build required for optimal extraction, transformation, and loading of data from a wide variety of data sources
  • Support the continuous optimisation, improvement & automation of data processing, retrieval, storage & distribution processes
  • Ensure the quality assurance and testing of all data solutions aligned to the QA Engineering & broader architectural guidelines and standards of the organisation
  • Implement & align to the Group Security standards and practices to ensure the undisputable separation, security & quality of the organisation’s data
  • Meaningfully contribute to & ensure solutions align to the design & direction of the Group Architecture & in particular data standards, principles, preferences & practices. Short term deployment must align to strategic long term delivery.
  • Meaningfully contribute to & ensure solutions align to the design and direction of the Group Infrastructure standards and practices e.g. OLA’s, IAAS, PAAS, SAAS, Containerisation etc.
  • Monitor the performance of data solutions designs & ensure ongoing optimization of data solutions
  • Stay ahead of the curve on data processing, retrieval, storage & distribution technologies & processes (global best practices & trends) to ensure best practice
  • Risk & Governance
  • Identify technical risks and mitigate these (pre, during & post deployment)
  • Update / Design all application documentation aligned to the organization technical standards and risk / governance frameworks
  • Create business cases & solution specifications for various governance processes (e.g. CTO approvals)
  • Participate in incident management & DR activity – applying critical thinking, problem solving & technical expertise to get to the bottom of major incidents
  • Deliver on time & on budget (always)
 
 
 
bachelor degree
12
JOB-6856642c784c5

Vacancy title:
Specialist Data Engineer (KE)

[Type: FULL_TIME, Industry: Banking, Category: Science & Engineering]

Jobs at:
Absa Bank Limited

Deadline of this Job:
Monday, June 30 2025

Duty Station:
Kenya | Nairobi | Kenya

Summary
Date Posted: Saturday, June 21 2025, Base Salary: Not Disclosed

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JOB DETAILS:

Job Description

  • Data Architecture & Data Engineering
  • Understand the technical landscape and bank wide architecture that is connected to or dependent on the business area supported in order to effectively design & deliver data solutions (architecture, pipeline etc.)
  • Translate / interpret the data architecture direction and associated business requirements & leverage expertise in analytical & creative problem solving to synthesise data solution designs (build a solution from its components) beyond the analysis of the problem
  • Participate in design thinking processes to successfully deliver data solution blueprints
  • Leverage state of the art relational and No-SQL databases as well integration and streaming platforms do deliver sustainable business specific data solutions.
  • Design data retrieval, storage & distribution solutions (and OR components thereof) including contributing to all phases of the development lifecycle e.g. design process
  • Develop high quality data processing, retrieval, storage & distribution design in a test driven & domain driven / cross domain environment
  • Build analytics tools that utilize the data pipeline by quickly producing well-organised, optimized, and documented source code & algorithms to deliver technical data solutions
  • Create & Maintain Sophisticated CI / CD Pipelines (authoring & supporting CI/CD pipelines in Jenkins or similar tools and deploy to multi-site environments – supporting and managing your applications all the way to production)
  • Automate tasks through appropriate tools and scripting technologies e.g. Ansible, Chef
  • Debug existing source code and polish feature sets.
  • Assemble large, complex data sets that meet business requirements & manage the data pipeline
  • Build infrastructure to automate extremely high volumes of data delivery
  • Create data tools for analytics and data science teams that assist them in building and optimizing data sets for the benefit of the business
  • Ensure designs & solutions support the technical organisation principles of self-service, repeatability, testability, scalability & resilience
  • Apply general design patterns and paradigms to deliver technical solutions
  • Inform & support the infrastructure build required for optimal extraction, transformation, and loading of data from a wide variety of data sources
  • Support the continuous optimisation, improvement & automation of data processing, retrieval, storage & distribution processes
  • Ensure the quality assurance and testing of all data solutions aligned to the QA Engineering & broader architectural guidelines and standards of the organisation
  • Implement & align to the Group Security standards and practices to ensure the undisputable separation, security & quality of the organisation’s data
  • Meaningfully contribute to & ensure solutions align to the design & direction of the Group Architecture & in particular data standards, principles, preferences & practices. Short term deployment must align to strategic long term delivery.
  • Meaningfully contribute to & ensure solutions align to the design and direction of the Group Infrastructure standards and practices e.g. OLA’s, IAAS, PAAS, SAAS, Containerisation etc.
  • Monitor the performance of data solutions designs & ensure ongoing optimization of data solutions
  • Stay ahead of the curve on data processing, retrieval, storage & distribution technologies & processes (global best practices & trends) to ensure best practice
  • Risk & Governance
  • Identify technical risks and mitigate these (pre, during & post deployment)
  • Update / Design all application documentation aligned to the organization technical standards and risk / governance frameworks
  • Create business cases & solution specifications for various governance processes (e.g. CTO approvals)
  • Participate in incident management & DR activity – applying critical thinking, problem solving & technical expertise to get to the bottom of major incidents
  • Deliver on time & on budget (always)

 

Work Hours: 8

Experience in Months: 12

Level of Education: bachelor degree

Job application procedure

Interested and qualified? Go to Absa Bank Limited on absa.wd3.myworkdayjobs.com to apply

 

All Jobs | QUICK ALERT SUBSCRIPTION

Job Info
Job Category: Data, Monitoring, and Research jobs in Kenya
Job Type: Full-time
Deadline of this Job: Monday, June 30 2025
Duty Station: Kenya | Nairobi | Kenya
Posted: 21-06-2025
No of Jobs: 1
Start Publishing: 21-06-2025
Stop Publishing (Put date of 2030): 21-06-2031
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