Jobs at One Acre Fund

Responsibilities

Manage the office operations at the Kakamega HQ office 

• Independently oversee and execute daily office operations to maintain high-quality standards and exceptional service provision to 350+ staff in our Kakamega HQ. 
• Serve as the first point of contact for visitors, suppliers, customers, and employees entering the office.
• Own the staff ID card printing process and ensure all staff receive their ID cards within the agreed SLAs.
• Manage office access ensuring adherence to access protocols and reporting of accurate data. 
• Implement cleaning and maintenance schedules and ensure they are carried out in line with the relevant SOPs.
• Monitor and pay recurring service bills on time to avoid service downtimes. Update relevant trackers with payment information. 
• Implement all health and safety standards in the office as per Health, Safety, and Security guidelines. 
• Proactively and accurately identify substantial areas of improvement in the office and design and implement process improvements with minimum manager support. 
• Independently scope and manage low-complexity office management projects with oversight from the manager.

Asset and consumables management

• Manage office assets, ensuring that fixed assets are appropriately booked and returned. 
• Ensure the effective and economical use of equipment and consumables in the office. 
• Monitor consumable levels and place procurement orders on time.
• Perform end-month stock counts and update the consumables trackers regularly. 

Event Management

• Provide support for all events happening at the office, including setting up spaces/meeting rooms and securing service providers.

Team management

• Manage the Facility Services Officers and cleaning casuals deployed to the office.
• Develop a performance culture through mentorship.
• Identify and facilitate opportunities for their professional growth and development

Career Growth and Development

We have a strong culture of constant learning and we invest in developing our people. You'll have weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. We hold career reviews every six months, and set aside time to discuss your aspirations and career goals. You'll have the opportunity to shape a growing organization and build a rewarding long-term career.

Qualifications

Across all roles, these are the general qualifications we look for. For this role specifically, you will have:

• Diploma in Business Administration, Office Management, Public Administration, or a related field
• 2–3 years of experience in office administration, facilities management, or operations
• At least 1 - 2 years in a supervisory or team leadership role
• Experience managing office operations, assets, vendors, and service providers
• Ability to implement SOPs, manage workflows, and improve processes
• Proficiency in Microsoft Office (Excel, Word, Outlook) and basic digital tools
• Experience supporting events or office logistics at scale
• Basic procurement or budget tracking exposure
• Hospitality experience is an added advantage.

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The Data Engineer builds and maintains the systems that power the organization’s data platform. This role is responsible for developing reliable data pipelines, maintaining data infrastructure, and enabling high-quality datasets that support analytics and decision-making across the organization.

Data Engineers work closely with analysts, business stakeholders, and other engineers to ensure that data is not only available, but structured and documented in ways that allow it to be used consistently and reliably. They also own one or more data domains, with end-to-end responsibility for the pipelines, transformations, and underlying data models that support those domains.

Responsibilities

Data Pipeline Development

• Design, build, and maintain data pipelines that ingest and process data from operational systems into the data warehouse.
• Ensure pipelines are reliable, scalable, and maintainable.
• Implement monitoring, logging, and alerting to detect failures or anomalies in data processing.
• Troubleshoot and resolve data pipeline failures or data quality issues.

Data Modeling and Semantic Layer Support

• Work with analysts and data stakeholders to transform raw datasets into structured, reusable datasets that directly support reporting and analytics.
• Implement transformations that capture key business logic within the data warehouse.
• Contribute to the development of curated datasets and standardized views that enable consistent analysis across teams and countries.
• Ensure datasets are clearly documented and understandable to downstream users.

Data Quality and Reliability

Implement validation, testing, and monitoring processes that ensure data accuracy and consistency.

• Maintain data quality checks and validation rules within pipelines.
• Improve reliability and resilience of the data platform through continuous improvement of infrastructure and processes.

Collaboration with Stakeholders

• Work closely with data analysts, business analysts, and domain experts to understand data needs and operational workflows.
• Translate business requirements into data models and transformations.
• Support the creation of datasets that enable self-service reporting and analytics.

Incident Response and Continuous Improvement

• Investigate and resolve issues affecting data pipelines or datasets.
• Conduct root cause analysis and implement long-term fixes.
• Document systems, datasets, and data pipelines to support knowledge sharing and maintainability.

Career Growth and Development

We have a strong culture of constant learning and we invest in developing our people. You’ll have weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. We hold career reviews every six months, and set aside time to discuss your aspirations and career goals. You’ll have the opportunity to shape a growing organization and build a rewarding long-term career.

Qualifications

Across all roles, these are the general qualifications we look for. For this role specifically, you will have:

Technical skills: 

• 3+ years experience in data engineering, analytics engineering, or related software development roles
• Strong experience with SQL and data transformation
• Experience with programming languages such as Python or Java
• Experience building and maintaining ETL/ELT pipelines
• Familiarity with modern data warehouse technologies