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2 Data Engineer job at Bank of Zambia
Bank of Zambia
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20 Days Ago
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2 Data Engineer
2025-04-11T06:48:53+00:00
Bank of Zambia
https://www.greatzambiajobs.com/jsjobsdata/data/employer/comp_2216/logo/Bank%20of%20Zambia.png
FULL_TIME
 
Lusaka
Lusaka
10101
Zambia
Banking
Science & Engineering
ZMW
 
MONTH
2025-04-23T17:00:00+00:00
 
Zambia
8

Job Purpose

Utilize relevant tools in data engineering and programming to build systems that collect, manage and transform data into usable information to ensure the reliability, efficiency, and scalability of the organization’s data infrastructure, thereby enabling robust data-driven decision-making and operational efficiency.

Main Accountabilities

  • Construct and optimize datasets (Big Data) pipeline and architecture to handle large volumes of data for business, monetary and supervisory policies decisions.
  • Develop processes to support data transformation, work-load management, data structures, dependencies, and metadata.
  • Provide first line technical support to the Data Warehouse, surveys and electronic Balance of Payment (BoP) monitoring systems to ensure continuous systems availability.
  • Undertake development/conversion/re-engineering of data survey systems that align with data warehouse protocols and user needs.
  • Collaborate with data scientists, economists, data analysts, and other stakeholders to understand data needs and facilitate data driven decision making support.
  • Build and maintain data systems and construct datasets that are easy to analyze and support the Bank’s diverse needs and requirements whilst undertaking initiatives that improve data reliability and quality.
  • Create consistent and machine-readable formats, develop and test architectures that enable data extraction and transformation for predictive or prescriptive modelling.
  • Identify opportunities for data acquisition and develop analytical tools and programs to support decision making.
  • Collaborate with data scientists and architects on several projects and combine raw information from different sources to create a single repository of data for the Bank.

Qualifications and Experience

  • Master’s degree in Data Science, Software Engineering or equivalent
  • Three (3) years relevant experience
  • Grade 12 School Certificate with a minimum of five (5) ‘O’ Levels (Credit or better)

Key Knowledge and Attributes

  • Programming Skills – knowledge of statistical programming languages like R, Python and database query languages like SQL, Hive and Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage;
  • Quantitative skills – Good applied statistical skills, including knowledge of descriptive and inferential statistics, including Bayesian probability computations;
  • Machine Learning – Familiarity with ML platforms such as TensorFlow, Azure, IBM Watson, etc coupled with good knowledge of machine learning methods like k-Nearest Neighbours, Naive Bayes, SVM, Decision Forests;
  • Experience with data Visualization tools like Power BI, matplotlib/seaborn, ggplot2, d3.js., Tableau that help to visually encode data;
  • Ability to plan, create, program and manage complex statistical computer databases;
  • Strong communication (spoken, written and presentational) skills;
  • Knowledge of structured and object-oriented systems methodologies;
  • Out of Box Thinking – Looks for, and proposes, a variety of opportunities and solutions for a unique and innovative approach; and
  • Results oriented – demonstrate the ability to set and manage to achieve goals.

CONDITIONS OF SERVICE

Bank of Zambia Conditions of Service will apply.

Construct and optimize datasets (Big Data) pipeline and architecture to handle large volumes of data for business, monetary and supervisory policies decisions. Develop processes to support data transformation, work-load management, data structures, dependencies, and metadata. Provide first line technical support to the Data Warehouse, surveys and electronic Balance of Payment (BoP) monitoring systems to ensure continuous systems availability. Undertake development/conversion/re-engineering of data survey systems that align with data warehouse protocols and user needs. Collaborate with data scientists, economists, data analysts, and other stakeholders to understand data needs and facilitate data driven decision making support. Build and maintain data systems and construct datasets that are easy to analyze and support the Bank’s diverse needs and requirements whilst undertaking initiatives that improve data reliability and quality. Create consistent and machine-readable formats, develop and test architectures that enable data extraction and transformation for predictive or prescriptive modelling. Identify opportunities for data acquisition and develop analytical tools and programs to support decision making. Collaborate with data scientists and architects on several projects and combine raw information from different sources to create a single repository of data for the Bank.
Programming Skills – knowledge of statistical programming languages like R, Python and database query languages like SQL, Hive and Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage; Quantitative skills – Good applied statistical skills, including knowledge of descriptive and inferential statistics, including Bayesian probability computations; Machine Learning – Familiarity with ML platforms such as TensorFlow, Azure, IBM Watson, etc coupled with good knowledge of machine learning methods like k-Nearest Neighbours, Naive Bayes, SVM, Decision Forests; Experience with data Visualization tools like Power BI, matplotlib/seaborn, ggplot2, d3.js., Tableau that help to visually encode data; Ability to plan, create, program and manage complex statistical computer databases; Strong communication (spoken, written and presentational) skills; Knowledge of structured and object-oriented systems methodologies; Out of Box Thinking – Looks for, and proposes, a variety of opportunities and solutions for a unique and innovative approach; and Results oriented – demonstrate the ability to set and manage to achieve goals.
Master’s degree in Data Science, Software Engineering or equivalent Three (3) years relevant experience Grade 12 School Certificate with a minimum of five (5) ‘O’ Levels (Credit or better)
postgraduate degree
36
JOB-67f8bb55011f7

Vacancy title:
2 Data Engineer

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

Jobs at:
Bank of Zambia

Deadline of this Job:
Wednesday, April 23 2025

Duty Station:
Lusaka | Lusaka | Zambia

Summary
Date Posted: Friday, April 11 2025, Base Salary: Not Disclosed

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Learn more about Bank of Zambia
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JOB DETAILS:

Job Purpose

Utilize relevant tools in data engineering and programming to build systems that collect, manage and transform data into usable information to ensure the reliability, efficiency, and scalability of the organization’s data infrastructure, thereby enabling robust data-driven decision-making and operational efficiency.

Main Accountabilities

  • Construct and optimize datasets (Big Data) pipeline and architecture to handle large volumes of data for business, monetary and supervisory policies decisions.
  • Develop processes to support data transformation, work-load management, data structures, dependencies, and metadata.
  • Provide first line technical support to the Data Warehouse, surveys and electronic Balance of Payment (BoP) monitoring systems to ensure continuous systems availability.
  • Undertake development/conversion/re-engineering of data survey systems that align with data warehouse protocols and user needs.
  • Collaborate with data scientists, economists, data analysts, and other stakeholders to understand data needs and facilitate data driven decision making support.
  • Build and maintain data systems and construct datasets that are easy to analyze and support the Bank’s diverse needs and requirements whilst undertaking initiatives that improve data reliability and quality.
  • Create consistent and machine-readable formats, develop and test architectures that enable data extraction and transformation for predictive or prescriptive modelling.
  • Identify opportunities for data acquisition and develop analytical tools and programs to support decision making.
  • Collaborate with data scientists and architects on several projects and combine raw information from different sources to create a single repository of data for the Bank.

Qualifications and Experience

  • Master’s degree in Data Science, Software Engineering or equivalent
  • Three (3) years relevant experience
  • Grade 12 School Certificate with a minimum of five (5) ‘O’ Levels (Credit or better)

Key Knowledge and Attributes

  • Programming Skills – knowledge of statistical programming languages like R, Python and database query languages like SQL, Hive and Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage;
  • Quantitative skills – Good applied statistical skills, including knowledge of descriptive and inferential statistics, including Bayesian probability computations;
  • Machine Learning – Familiarity with ML platforms such as TensorFlow, Azure, IBM Watson, etc coupled with good knowledge of machine learning methods like k-Nearest Neighbours, Naive Bayes, SVM, Decision Forests;
  • Experience with data Visualization tools like Power BI, matplotlib/seaborn, ggplot2, d3.js., Tableau that help to visually encode data;
  • Ability to plan, create, program and manage complex statistical computer databases;
  • Strong communication (spoken, written and presentational) skills;
  • Knowledge of structured and object-oriented systems methodologies;
  • Out of Box Thinking – Looks for, and proposes, a variety of opportunities and solutions for a unique and innovative approach; and
  • Results oriented – demonstrate the ability to set and manage to achieve goals.

CONDITIONS OF SERVICE

Bank of Zambia Conditions of Service will apply.

 

Work Hours: 8

Experience in Months: 36

Level of Education: postgraduate degree

Job application procedure

  • Only candidates meeting the above role specifications are invited to apply online, Applicants’ detailed curriculum vitae (CV), scanned certified copies of certificates and National Registration Card MUST be attached to the online application. The closing date for applications is 23 April 2025.  Please note that only applications submitted online shall be considered.
  • Female candidates are encouraged to apply. Only shortlisted candidates will be contacted.
  • To apply for this job please visit lde.tbe.taleo.net.

 

All Jobs | QUICK ALERT SUBSCRIPTION

Job Info
Job Category: Data, Monitoring, and Research jobs in Zambia
Job Type: Full-time
Deadline of this Job: Wednesday, April 23 2025
Duty Station: Lusaka | Lusaka | Zambia
Posted: 11-04-2025
No of Jobs: 2
Start Publishing: 11-04-2025
Stop Publishing (Put date of 2030): 11-04-2066
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