Data Engineer and Analytics Specialist

Victory Farms Kenya is a rapidly growing aquaculture company focused on sustainable fish farming. They are seeking a Data Engineer to build reliable data pipelines and deliver actionable business insights.

Victory Farms Kenya is looking for a detail-oriented and analytical Data Engineer passionate about data engineering, automation, and delivering actionable business insights. The successful candidate will be responsible for building reliable data pipelines, automating data workflows, and providing high-quality analytics and reporting to support informed business decisions. This hands-on technical role requires someone analytical, solutions-oriented, and committed to building robust data systems that deliver significant business impact, ensuring data accuracy, accessibility, and consistency to drive operational efficiency and growth.

1. Design, build, and maintain data pipelines from ERPNext and related systems into the analytics warehouse (e.g., Snowflake).
2. Extract and transform core business data, including finance, inventory, procurement, sales, HR, and operations.
3. Develop and maintain clean, well-documented data models (fact tables, dimensions, marts) aligned to business reporting needs.
4. Ensure data accuracy, consistency, and historical integrity across all pipelines.
5. Monitor pipeline health and resolve data breaks, latency, or reconciliation issues.
6. Automate data ingestion, transformations, and refresh schedules across the stack.
7. Build data quality checks, validations, and exception alerts (e.g., missing data, outliers, reconciliation mismatches).
8. Automate recurring operational reports and refresh cycles for dashboards.
9. Reduce manual spreadsheet-based processes through scripted or scheduled workflows.
10. Maintain clear documentation of data sources, logic, and dependencies.
11. Develop and maintain Power BI dashboards and reports for finance, operations, HR, and leadership.
12. Partner with business stakeholders to define KPIs, metrics, and reporting logic.
13. Translate ERP transactions into meaningful performance indicators and trends.
14. Support ad-hoc analysis, management reporting, and executive decision-making.
15. Ensure reports are intuitive, trusted, and aligned to a single source of truth.

1. Hold a Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
2. Possess 3+ years of experience in data modeling and analysis, with a focus on Power BI development and tabular data modeling.
3. Be proficient in data analysis tools and programming languages such as SQL, Python, R, or DAX.
4. Demonstrate an automation mindset with strong attention to data quality and reliability.
5. Have a strong understanding of data governance principles, compliance requirements, and best practices.
6. Exhibit strong analytical and problem-solving skills, with keen attention to detail.
7. Be able to work independently and manage multiple projects in a fast-paced environment.
8. Possess a proven track record of leading and delivering complex data analysis projects from inception to completion.
9. Be able to communicate clearly with both technical and non-technical stakeholders.
10. Certification in Power BI, Snowflake, or related technologies is a plus.