Senior Analytics Engineer

At Mukuru, data isn't just numbers it's how we unlock smarter decisions, better experiences, and greater financial access across Africa. As a Senior BI Analytics Engineer, you'll play a key role in transforming complex data into trusted, scalable insights that power the business.

You'll sit at the intersection of data, technology, and business turning raw, fast-moving data into reliable, high-impact data products. Your work will directly influence decision making across a growing fintech platform serving millions.

Build the foundation of insight

• Design and develop scalable data models (facts, dimensions, data marts) in Snowflake
• Translate business needs into clean, reusable, and trusted data assets
• Build and optimise ELT pipelines using SQL and modern tooling

Drive quality and performance

• Implement data quality checks, governance, and validation processes
• Continuously improve model performance, structure, and usability
• Ensure data is accurate, reliable, and ready for decision-making

Collaborate and influence

• Work closely with Data Engineers, Analysts, and Data Scientists
• Partner with stakeholders to turn requirements into impactful solutions
• Contribute to Agile delivery, sprint planning, and peer reviews

Shape the data ecosystem

• Collaborate with architects on data modelling standards and architecture
• Contribute to evolving best practices, tools, and frameworks
• Mentor junior team members and support a culture of learning and excellence

• 5+ years' experience in Analytics Engineering / BI Development
• Advanced SQL skills with strong experience in data transformations
• Solid expertise in dimensional modelling (Kimball, star/snowflake schemas)
• Experience with Snowflake, Matillion (or similar), and ELT pipelines
• Understanding of data quality, governance, and testing principles
• Experience working in cross-functional, Agile teams

• Snowflake (Cloud Data Warehouse)
• Matillion (ETL orchestration)
• Git + Liquibase (Version control & CI/CD)
• SQL (Primary language)

• Python for data automation
• Exposure to Power BI or similar BI tools
• Experience with data testing frameworks and observability tools
• Background in fintech, consulting, or high-growth environments

If you are appointed in a remote / work from home role, you must have uninterrupted internet connectivity and a work like environment at your home location to deliver your best in terms of performance, productivity, and service to our customers.

NB: ALL STAFF APPOINTMENTS WILL BE MADE WITH DUE CONSIDERATION OF THE COMPANY'S DIVERSITY AND INCLUSION PLANS.