Data Engineer
2025-09-11T11:19:48+00:00
Kivu Choice Ltd
https://cdn.greatrwandajobs.com/jsjobsdata/data/employer/comp_4078/logo/download%20(5).jpg
https://kivuchoice.com/
FULL_TIME
kigali
Kigali
00000
Rwanda
Agriculture, Food, and Natural Resources
Science & Engineering
2025-10-10T17:00:00+00:00
Rwanda
8
Kivu Choice is the fastest growing vertically integrated aquaculture company with the largest hatchery in Rwanda. A fish production operation as well as a growing number of branches to sell the fish throughout the country. Over the next 5 years our plan is to scale to become the largest and most sustainable protein producer in the country, producing and distributing over 50 million fish meals per year across Rwanda, DRC, and Burundi.
About the Role
We are looking for a skilled and motivated Data Engineer to lead the integration of multiple data sources into our centralized Snowflake data warehouse. This role will design and maintain robust ETL pipelines, support predictive modeling efforts, and develop intuitive dashboards in Power BI to drive insights across the organization.
Key Responsibilities:
- Build and manage end-to-end ETL pipelines to integrate diverse data sources (APIs, databases, flat files, etc.) into our Snowflake data warehouse.
- Own and optimize our Snowflake architecture, including data modeling, performance tuning, and access control.
- Partner with Data Analysts and Business Stakeholders to define and deliver clean, consistent, and reliable data.
- Design and implement predictive models to support forecasting, optimization, and data-driven decision-making.
- Develop and maintain Power BI dashboards for monitoring KPIs, operational reporting, and executive insights.
- Ensure high data quality through validation frameworks, monitoring, and documentation.
- Automate repetitive tasks and improve efficiency of data workflows using Python and/or orchestration tools.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Statistics, or related discipline.
- 3+ years of professional experience in data engineering or data platform development.
- Proven experience working with Snowflake in a production environment is a plus.
- Expertise in SQL and data modeling for analytics and reporting.
- Proficiency in Python (or similar language) for scripting, automation, and model development.
- Strong experience with Power BI including DAX, data transformations, and visual storytelling.
- Hands-on experience developing predictive models (e.g., regression, classification, time-series, etc).
- Familiarity with Git and workflow orchestration tools like Airflow, dbt, or similar.
Nice to Have:
- Experience in integrating third-party APIs or using tools like Airbyte, Fivetran, or Azure Data Factory.
- Knowledge of MLOps practices and deploying models into production environments.
- Understanding of data governance, data privacy, and security in cloud environments.
- Experience in industries such as aquaculture or agriculture is a plus.
Submitting your application
- If you are interested in this position, prepare the following:
- Job application letter
- Curriculum Vitae (CV)
- Copy of your academic documents
- Copy of your ID
Key Responsibilities: Build and manage end-to-end ETL pipelines to integrate diverse data sources (APIs, databases, flat files, etc.) into our Snowflake data warehouse. Own and optimize our Snowflake architecture, including data modeling, performance tuning, and access control. Partner with Data Analysts and Business Stakeholders to define and deliver clean, consistent, and reliable data. Design and implement predictive models to support forecasting, optimization, and data-driven decision-making. Develop and maintain Power BI dashboards for monitoring KPIs, operational reporting, and executive insights. Ensure high data quality through validation frameworks, monitoring, and documentation. Automate repetitive tasks and improve efficiency of data workflows using Python and/or orchestration tools.
Nice to Have: Experience in integrating third-party APIs or using tools like Airbyte, Fivetran, or Azure Data Factory. Knowledge of MLOps practices and deploying models into production environments. Understanding of data governance, data privacy, and security in cloud environments. Experience in industries such as aquaculture or agriculture is a plus.
Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Statistics, or related discipline. 3+ years of professional experience in data engineering or data platform development. Proven experience working with Snowflake in a production environment is a plus. Expertise in SQL and data modeling for analytics and reporting. Proficiency in Python (or similar language) for scripting, automation, and model development. Strong experience with Power BI including DAX, data transformations, and visual storytelling. Hands-on experience developing predictive models (e.g., regression, classification, time-series, etc). Familiarity with Git and workflow orchestration tools like Airflow, dbt, or similar.
JOB-68c2b054981c7
Vacancy title:
Data Engineer
[Type: FULL_TIME, Industry: Agriculture, Food, and Natural Resources, Category: Science & Engineering]
Jobs at:
Kivu Choice Ltd
Deadline of this Job:
Friday, October 10 2025
Duty Station:
Kigali | Rwanda
Summary
Date Posted: Thursday, September 11 2025, Base Salary: Not Disclosed
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JOB DETAILS:
Kivu Choice is the fastest growing vertically integrated aquaculture company with the largest hatchery in Rwanda. A fish production operation as well as a growing number of branches to sell the fish throughout the country. Over the next 5 years our plan is to scale to become the largest and most sustainable protein producer in the country, producing and distributing over 50 million fish meals per year across Rwanda, DRC, and Burundi.
About the Role
We are looking for a skilled and motivated Data Engineer to lead the integration of multiple data sources into our centralized Snowflake data warehouse. This role will design and maintain robust ETL pipelines, support predictive modeling efforts, and develop intuitive dashboards in Power BI to drive insights across the organization.
Key Responsibilities:
- Build and manage end-to-end ETL pipelines to integrate diverse data sources (APIs, databases, flat files, etc.) into our Snowflake data warehouse.
- Own and optimize our Snowflake architecture, including data modeling, performance tuning, and access control.
- Partner with Data Analysts and Business Stakeholders to define and deliver clean, consistent, and reliable data.
- Design and implement predictive models to support forecasting, optimization, and data-driven decision-making.
- Develop and maintain Power BI dashboards for monitoring KPIs, operational reporting, and executive insights.
- Ensure high data quality through validation frameworks, monitoring, and documentation.
- Automate repetitive tasks and improve efficiency of data workflows using Python and/or orchestration tools.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Statistics, or related discipline.
- 3+ years of professional experience in data engineering or data platform development.
- Proven experience working with Snowflake in a production environment is a plus.
- Expertise in SQL and data modeling for analytics and reporting.
- Proficiency in Python (or similar language) for scripting, automation, and model development.
- Strong experience with Power BI including DAX, data transformations, and visual storytelling.
- Hands-on experience developing predictive models (e.g., regression, classification, time-series, etc).
- Familiarity with Git and workflow orchestration tools like Airflow, dbt, or similar.
Nice to Have:
- Experience in integrating third-party APIs or using tools like Airbyte, Fivetran, or Azure Data Factory.
- Knowledge of MLOps practices and deploying models into production environments.
- Understanding of data governance, data privacy, and security in cloud environments.
- Experience in industries such as aquaculture or agriculture is a plus.
Submitting your application
- If you are interested in this position, prepare the following:
- Job application letter
- Curriculum Vitae (CV)
- Copy of your academic documents
- Copy of your ID
Work Hours: 8
Experience in Months: 36
Level of Education: bachelor degree
Job application procedure
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