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Data Engineer and Analytics Specialist at Victory Farms
Victory Farms
October 22, 2026
Full-time
On-site
Are you a detail-oriented and analytical professional passionate about data engineering, automation, and delivering actionable business insights?
Victory Farms Kenya is seeking a proactive and skilled Data Engineer to build reliable data pipelines, automate data workflows, and deliver high-quality analytics and reporting that support informed business decision-making.
You will play a key role in transforming raw data into reliable, actionable intelligence, ensuring data accuracy, accessibility, and consistency to drive operational efficiency and business growth.
Reporting directly to the Director of Data and Innovation, you will work within the Technology and Innovation department, supporting data-driven decision-making across the organization.
This is a hands-on technical role for someone who is analytical, solutions-oriented, detail-focused, and committed to building reliable data systems that deliver meaningful business impact.
Key Responsibilities:
Data Pipelines & Data Architecture
Design, build, and maintain data pipelines from ERPNext and related systems into the analytics warehouse (e.g., Snowflake)
Extract and transform core business data, including finance, inventory, procurement, sales, HR, and operations
Develop and maintain clean, well-documented data models (fact tables, dimensions, marts) aligned to business reporting needs
Ensure data accuracy, consistency, and historical integrity across all pipelines
Monitor pipeline health and resolve data breaks, latency, or reconciliation issues
Automation & Data Operations
Automate data ingestion, transformations, and refresh schedules across the stack
Build data quality checks, validations, and exception alerts (e.g., missing data, outliers, reconciliation mismatches)
Automate recurring operational reports and refresh cycles for dashboards
Reduce manual spreadsheet-based processes through scripted or scheduled workflows
Maintain clear documentation of data sources, logic, and dependencies
Analytics, Reporting & Business Insights
Develop and maintain Power BI dashboards and reports for finance, operations, HR, and leadership
Partner with business stakeholders to define KPIs, metrics, and reporting logic
Translate ERP transactions into meaningful performance indicators and trends
Support ad-hoc analysis, management reporting, and executive decision-making
Ensure reports are intuitive, trusted, and aligned to a single source of truth
Tools & Technologies
ERP & Source Systems: ERPNext and integrated operational systems
Data Warehouse: Snowflake (or similar cloud data warehouse)
Analytics & BI: Power BI (DAX, data modeling, dashboards)
Data Transformation: SQL, scripted transformations, data modeling frameworks
Automation & Scheduling: Scheduled jobs, APIs, connectors, or workflow tools
Qualifications & Requirements:
Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
3+ years of experience in data modelling and analysis, with a focus on visualization tools such as Power BI development and tabular data modeling.
Proficiency in data analysis tools and programming languages such as SQL, Python, R, DAX or similar.
Automation mindset with attention to data quality and reliability
Strong understanding of data governance principles, compliance requirements, and best practices.
Strong analytical and problem-solving skills, with a keen attention to detail.
Ability to work independently and manage multiple projects in a fast-paced environment.
Proven track record of leading and delivering complex data analysis projects from inception to completion.
Ability to communicate clearly with both technical and non-technical stakeholders
Certification in Power BI, Snowflake, or related technologies is a plus.
Benefit:
Visibility into the world's fastest growing aquaculture company.
Ideal for a candidate looking to dive into a mission-oriented Organization.
The team is committed to the candidate's success and will provide coaching, mentorship, and unique exposure to people and experiences that come from the most successful leaders in the entrepreneurial community and the social sector.
Victory Farms Kenya is seeking a proactive and skilled Data Engineer to build reliable data pipelines, automate data workflows, and deliver high-quality analytics and reporting that support informed business decision-making.
You will play a key role in transforming raw data into reliable, actionable intelligence, ensuring data accuracy, accessibility, and consistency to drive operational efficiency and business growth.
Reporting directly to the Director of Data and Innovation, you will work within the Technology and Innovation department, supporting data-driven decision-making across the organization.
This is a hands-on technical role for someone who is analytical, solutions-oriented, detail-focused, and committed to building reliable data systems that deliver meaningful business impact.
Key Responsibilities:
Data Pipelines & Data Architecture
Design, build, and maintain data pipelines from ERPNext and related systems into the analytics warehouse (e.g., Snowflake)
Extract and transform core business data, including finance, inventory, procurement, sales, HR, and operations
Develop and maintain clean, well-documented data models (fact tables, dimensions, marts) aligned to business reporting needs
Ensure data accuracy, consistency, and historical integrity across all pipelines
Monitor pipeline health and resolve data breaks, latency, or reconciliation issues
Automation & Data Operations
Automate data ingestion, transformations, and refresh schedules across the stack
Build data quality checks, validations, and exception alerts (e.g., missing data, outliers, reconciliation mismatches)
Automate recurring operational reports and refresh cycles for dashboards
Reduce manual spreadsheet-based processes through scripted or scheduled workflows
Maintain clear documentation of data sources, logic, and dependencies
Analytics, Reporting & Business Insights
Develop and maintain Power BI dashboards and reports for finance, operations, HR, and leadership
Partner with business stakeholders to define KPIs, metrics, and reporting logic
Translate ERP transactions into meaningful performance indicators and trends
Support ad-hoc analysis, management reporting, and executive decision-making
Ensure reports are intuitive, trusted, and aligned to a single source of truth
Tools & Technologies
ERP & Source Systems: ERPNext and integrated operational systems
Data Warehouse: Snowflake (or similar cloud data warehouse)
Analytics & BI: Power BI (DAX, data modeling, dashboards)
Data Transformation: SQL, scripted transformations, data modeling frameworks
Automation & Scheduling: Scheduled jobs, APIs, connectors, or workflow tools
Qualifications & Requirements:
Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
3+ years of experience in data modelling and analysis, with a focus on visualization tools such as Power BI development and tabular data modeling.
Proficiency in data analysis tools and programming languages such as SQL, Python, R, DAX or similar.
Automation mindset with attention to data quality and reliability
Strong understanding of data governance principles, compliance requirements, and best practices.
Strong analytical and problem-solving skills, with a keen attention to detail.
Ability to work independently and manage multiple projects in a fast-paced environment.
Proven track record of leading and delivering complex data analysis projects from inception to completion.
Ability to communicate clearly with both technical and non-technical stakeholders
Certification in Power BI, Snowflake, or related technologies is a plus.
Benefit:
Visibility into the world's fastest growing aquaculture company.
Ideal for a candidate looking to dive into a mission-oriented Organization.
The team is committed to the candidate's success and will provide coaching, mentorship, and unique exposure to people and experiences that come from the most successful leaders in the entrepreneurial community and the social sector.