Data Engineer

Founded in April 2014, Moringa School plays a crucial role in developing and nurturing highly potential individuals who are passionate about technology and want to take a lead role in mobile and web development through equipping them with life long skills. Through our top quality teachers, to our intensive curriculum we are creating world-class developers i…

Data Engineer

Working at Moringa

• We are an established and respected part of Kenya’s tech and education ecosystem, yet we retain a fast-paced and dynamic culture that is reminiscent of a start-up. We are all mission-driven professionals with a passion for providing the best student experience possible. And we know that is only possible if our team is highly motivated. We value results, collaboration, and a customer-focused mindset, and offer a healthy dose of fun along with a hybrid working environment.

Moringa Culture Code

• Collaboration: We work together for a common goal

• Customer Centric: The customer is at the heart of all we do

• Accountability: I take ownership

• Excellence: I deliver exceptionally

Role Overview

• Moringa is investing in a stronger Business Intelligence (BI) function, and this role is central to that

• effort. We are looking for a Data Engineer to join our BI team and work closely with our BI Analyst to design, build, and scale the data infrastructure that powers decision-making across the organisation.

• This is a full-time, hands-on engineering role for someone who enjoys owning problems end to end. From raw, messy source data, through pipeline design and data modelling, all the way to a polished, interactive dashboard that a non-technical stakeholder can use with confidence. You will be the

• primary technical owner of Moringa’s internal BI platform, working in a Python-based stack (Django/Flask with Plotly Dash) to turn data from admissions, marketing, operations, and finance into reliable, actionable insight.

• You will partner daily with the BI Analyst and regularly with leadership and department heads to

• understand what questions the business is trying to answer and translate those questions into robust, scalable data products.

Key Responsibilities

Data Pipelines & ETL/ELT

• Design, build, and maintain data pipelines and ETL/ELT workflows that reliably move data from source systems (admissions, finance, operations, Salesforce, and other internal tools) into the BI platform.

• Automate data ingestion, transformation, and loading processes to reduce manual reporting effort and minimise the risk of human error.

• Monitor pipeline health, build alerting for failures or data quality issues, and troubleshoot production issues quickly to minimise disruption to reporting.

• Implement data validation, testing, and quality checks at each stage of the pipeline to ensure trustworthy outputs.

BI Platform Development

• Develop and maintain Moringa’s internal BI platform using Python-based web frameworks (Django / Flask), with Plotly Dash for interactive dashboards and data visualisations, or other tools as deemed necessary.

• Design intuitive, performant, and visually clear dashboards that allow non-technical stakeholders to self-serve answers to common questions.

• Continuously improve the platform’s architecture, performance, security, and user experience as usage and data volumes grow.

• Manage deployment, versioning, and basic DevOps practices (e.g. environment configuration, CI/CD, containerisation) for the BI platform.

Data Modelling & Architecture

• Build, optimise, and document data models (e.g. star/snowflake schemas, dimensional models) that provide a single, reliable source of truth for analysts, leadership, and operational teams.

• Define and enforce data modelling standards, naming conventions, and documentation practices to keep the data warehouse maintainable as it scales.

• Own the underlying database design and query performance, ensuring dashboards and reports remain fast and responsive as data grows.

Stakeholder Collaboration & Reporting

• Collaborate closely with the BI Analyst and stakeholders across operations, finance, admissions, and other departments to gather requirements and clarify business questions.

• Translate business requirements into scalable, well-structured data products, dashboards, and reports, balancing stakeholder urgency and needs with long-term maintainability.

• Present technical concepts and data findings in clear, non-technical language to leadership and operational teams.

• Maintain clear documentation of data sources, definitions, transformation logic, and dashboard usage for internal knowledge-sharing.

Data Governance & Best Practices

• Champion data quality, consistency, and governance practices across the organisation, including access controls and data security best practices.