Jobs at Watu Credit Limited

We are looking for a proactive technical lead who can stabilize and develop core systems while simultaneously engineering automated AI and ML solutions. If you have mastery in Advanced SQL and Python, and a proven track record of moving models from a notebook into a reliable production environment, you will play a defining role in our technical legacy.

Key Responsibilities:

• Lead Data Architecture & Pipelines: Architect, deploy, and oversee robust end-to-end ingestion frameworks. You will ensure raw data from diverse sources is reliably integrated into our Data Warehouse using cloud-native tools (Datastream, Fabric, Spark).
• Advanced Data Transformation: Own the modeling layer by designing complex, performant transformation logic using dbt and SQL. You will establish the standards for how raw data is turned into clean, version-controlled, and analyst-ready datasets.
• MLOps & Model Productionalization: Bridge the gap between research and production by engineering the pipelines required to deploy Machine Learning models and AI agents. You will transition models from notebooks into stable, automated, and monitorable production workflows.
• Data Quality & Technical Governance: Act as the primary guardian of data integrity. You will define and enforce strict security protocols, data quality tests, and governance rules to ensure consistency and compliance across the global organization.
• Warehouse & Infrastructure Excellence: Manage the administration of the Data Warehouse (BigQuery/Fabric), optimizing for performance, cost-efficiency, and scalability. You will select and maintain the Analytics Engineering tooling that empowers the broader data team.
• Intelligent Automation: Lead the development of internal AI tools and "intelligent workflows." You will leverage our data foundations to build custom agents and automated processes that solve complex business logic challenges.
• Technical Leadership & Mentorship: Define the "gold standard" for engineering practices (CI/CD, documentation, modularity) within the department, providing guidance to other team members and assisting in the long-term evolution of our data strategy.

Requirements

Knowledge, Skills, and Experience

• Experience: At least 5 years of proven experience working in a Data Engineering or Back-end Engineering role.
• Core Languages: Advanced proficiency in SQL and strong coding skills in Python (specifically for data manipulation, automation, and API integrations).
• Data Architecture: Deep expertise in modern Data Warehouse design (BigQuery, Microsoft Fabric), dimensional modeling, and implementing scalable architectural patterns.
• Modern Data Stack: Extensive hands-on experience with the ELT/ETL lifecycle, including advanced transformation workflows using dbt (Data Build Tool) and orchestration.
• Cloud Infrastructure: Strong proficiency with Google Cloud Platform (GCP)—specifically BigQuery, Datastream, and Dataflow—and experience with Spark for large-scale data processing.
• Software Excellence: A strong proponent of engineering best practices, including Git version control, CI/CD pipelines, and writing clean, maintainable, and well-tested code.

go to method of application »

What you will do:

• Identify and recruit new customers to ensure achievement of new customer targets and revenue.
• Recommend and execute approved activations and promotional activities with assigned regions; managing discretionary giveaways to ensure optimum return on investment.
• Communicate Watu Simu activities and updates to dealerships and Watu customers in a timely manner.
• Build and maintain strong working relationships with dealership managers and store staff to support retention
• Conduct market sensing and provide continuous feedback and recommend solutions within the designated region.
• Ensure accurate pricing, promotional pricing, competitor pricing of all products across retail shops.
• Identify customer and dealership training needs and implement training programs to promote sales and an understanding of processes.
• Collect feedback from customer complaints, queries and requests ensuring effective resolution through relevant channels.
• Provide timely reports on regional dealership performance and identify key performance indicators to increase sell out.
• Monitor store capacity, stock status and in-store pricing for appropriate execution of sales.
• Negotiate prime  product display space to maximize on visibility of Watu Simu retail elements
• Monitor display areas for all dealerships to ensure compliance with brand guidelines on display assets on any other applicable guidelines. 
• Identify in-store cross merchandising opportunities with OEM partners to enhance upselling against targets
• Supervise, appraise, train and support direct reports in delivering sales targets 
• Execute effective route planning, objectivity and compliance for the team.

KPIs:

• Deliver set sales targets against target
• Deliver set onboarding targets.
• Deliver off rate targets.
• Timely sales, customer feedback and marketing sensing reports within set timelines and templates

What we are looking for:

• Diploma in marketing from or other applicable field from a recognizable institution.
• At least 4 years’ experience in sales, account management or related field preferably in the telecommunication or IT industry, with at least 1 year of experience leading teams.
• Technical aptitude and familiarity with various mobile phone models and phone issues
• Proficiency with Microsoft Office (Word, Excel, PowerPoint).
• Knowledge of asset financing is an added advantage.
• Proven track record of integrity while managing business transactions
• Ability to quickly strike rapport  and build meaningful and lasting business relationships.
• Strong sales and marketing skills with a focus on closing sales.
• Good planning, organization, and analytical skills.
• Effective communicator (verbal and written).
• A keen eye for detail.