About the Company

Kitsilano Technologies is a leading technology consulting firm based in Kenya, focused on helping organizations accelerate digital transformation through cloud, data, and modern IT solutions.

Kitsilano Technologies designs and delivers data platforms, analytics, and reporting for banks, insurers, manufacturers, and hospitality groups across East Africa. We partner with global technology providers such as AWS and Google Cloud to deliver scalable, secure, and cost-effective solutions that drive real business impact.

About the Role

We are hiring a data engineer to design the models behind client reporting and to present the results to the client directly. Source systems are rarely clean, and requirements rarely arrive complete.

What You Will Do

• Design and build the ingestion, transformation, and modelling layers that client reporting depends on.

• Own data models end to end: grain, keys, relationships, history, and testing, with the reasoning documented.

• Profile, clean, and reconcile source data before it reaches the reporting layer.

• Build the analytics layer that answers the client's questions, and interpret what the results indicate for their business.

• Present designs, findings, and recommendations directly to client stakeholders, including non-technical audiences, and contribute to scoping at the pre-sales stage.

• Excellent communication and presentation skills

• Self-Starter – Motivated – Customer-focused

What You Have

• Minimum 3 years building and maintaining production data pipelines that other teams relied on.

  • Undergraduate coursework, university and personal projects do not count toward this.

• Certification required: a current cloud certification within the data, analytics, or machine learning track.

  • Certifications outside that track do not satisfy this requirement.

  • Snowflake SnowPro Core, production Snowflake experience, and machine learning deployed to production are each an advantage.

• Advanced SQL: window functions, CTEs, set logic and aggregation at the correct grain, with the ability to read a query plan and explain a performance problem.