Data Engineer & Analytics Specialist
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Victory Farms is hiring a mid-level Data Engineer & Analytics Specialist in Nairobi to build data pipelines, automate workflows and deliver actionable analytics. The full-time, on-site role covers data architecture, quality controls and business reporting, with a stated deadline of 6 November 2026.
- Builds data pipelines from ERPNext and related systems into a Snowflake analytics warehouse.
- Automates data ingestion, transformations, refreshes, reporting and quality checks.
- Requires a bachelor’s degree in data science, computer science, statistics, IT or a related field.
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Victory Farms is hiring a mid-level Data Engineer & Analytics Specialist in Nairobi to build data pipelines, automate workflows and deliver actionable analytics. The full-time, on-site role covers data architecture, quality controls and business reporting, with a stated deadline of 6 November 2026.
- Builds data pipelines from ERPNext and related systems into a Snowflake analytics warehouse.
- Automates data ingestion, transformations, refreshes, reporting and quality checks.
- Requires a bachelor’s degree in data science, computer science, statistics, IT or a related field.
- Mid-level, full-time and on-site in Nairobi; stated deadline is 6 November 2026.
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in sales, factory, armazemThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in NairobiThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Data Engineer & Analytics Specialist evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Victory Farms and the role in Nairobi.
- Add concrete examples related to sales, factory, armazem, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Corporate Staffing Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Plan to submit before the listed deadline: 2026-11-06.
Source and safety check
- Corporate Staffing Kenya
- Original source link available
- Application method is clear
- Deadline is available: 2026-11-06
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Data Engineer & Analytics Specialist role in sales, factory?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Nairobi under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Victory Farms before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
Job Title: Data Engineer & Analytics Specialist
Date Posted: 22/10/2026
Job Type: Full Time
Job Level: Middle
Employer: Victory Farms
Industry: IT
Salary: Open
Location: Nairobi
Country: Kenya
Deadline: 06/11/2026
IT Jobs, Victory Farms Jobs. Responsible for building and maintaining data pipelines, integrating data from multiple sources and delivering insights to support business decisions and operational efficiency. Requires a Bachelor’s Degree in Data Science, Computer Science, Statistics, Information Technology, or a related field. This is a full-time, on-site position based in Nairobi,
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
- 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.