About Victory Farms:

Victory Farms (VF) was established on Lake Victoria in 2016 with both on-shore and off-shore facilities. The head office is in Nairobi, and its Farm site is in Homa Bay County, with distribution across Kenya. VF has since become one of the fastest growing companies in aquaculture globally. In its first eight months of operation, the Company became the largest aquaculture producer in Kenya. Victory Farms aims to become the leading tilapia farm in Africa over the next 5 years while maintaining the highest environmental and social standards; as the most sustainable tilapia farm in the world, adhering to global standards and best practices, and producing affordable, sustainable protein to feed millions of people across Africa. Today, it is the largest commercial aquaculture player in East Africa and operates one of largest hatcheries on the continent. The Company is continuing to rapidly expand its vertically integrated model: production, processing, and sales & distribution, to keep pace with the rapid growth in demand for protein. To support this, Victory Farms employs world class technologies, people, and processes to build its model for sustainable protein production on the continent. VF strives for the highest standards in performance, execution, culture, and integrity. VF’s growth trajectory provides enormous opportunity for excited professionals to uplift their careers and make an impact within a diverse operation. We recognize the utmost importance which contributions by individuals and teams have to the success of Victory Farms. We work to create a fantastic environment for our employees. An environment where employees have an opportunity to develop professionally and personally.

Role Context:

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.

• 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
• 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
• 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

• SQL
• Python
• R
• DAX
• Power BI development
• Tabular data modeling
• Data analysis
• Data modelling
• Automation
• Data quality
• Data reliability
• Data governance
• Problem-solving
• Attention to detail
• Communication

• 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.