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. Why this role matters 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. What you’ll do 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 What you bring 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 Our tech stack Snowflake (Cloud Data Warehouse) Matillion (ETL orchestration) Git + Liquibase (Version control & CI/CD) SQL (Primary language) Nice to have 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. #J-18808-Ljbffr