Senior Business Intelligence Developer; AI & Data Engineering

A company that provides a fintech ecosystem that bridges the gap between cash and digital economies, allowing unbanked or underbanked consumers to safely transact online without needing a bank account, is seeking a
Senior Business Intelligence Developer to lead the design, development, and implementation of their next-generation, AI-driven data solutions
- Hybrid/remote
.

• Data Architecture & Pipelines: Design, build, and optimize robust end-to-end ETL/ELT pipelines, data lakes, and warehouses using Microsoft Fabric, SQL Server, and Azure Data Factory
  .

• Analytics & Reporting: Develop high-performance Power BI dashboards and data models that convert complex data sets into clear, actionable business insights.

• AI & Innovation: Lead the creation and deployment of AI-driven BI solutions
  , including intelligent data agents and process automation.

• Platform Admin & Governance: Administer Azure and Power BI environments, ensuring optimal performance, cost-efficiency, security, and strict PII compliance.

• Collaboration & Leadership: Partner with cross-functional global teams to gather requirements, mentor junior developers, and host training workshops to elevate the organization's data literacy.

• Core BI Stack: Deep expertise in Microsoft Fabric, Azure Data Factory, and Power BI (including Power Automate and Power Apps).

• Languages: Advanced proficiency in SQL, DAX, Python, and R for data modeling, scripting, and automation.

• Data Engineering: Strong grasp of database architecture design (cloud and on-premise) and scalable data warehousing.

• AI & Automation: Hands-on experience developing AI data agents or automated workflows.

• Governance & Compliance: Solid understanding of data security protocols and data privacy regulations (e.g., GDPR/POPIA PII tracking).

• Soft Skills: Excellent stakeholder management skills with a proven track record of delivering complex, international projects.

• Experience: 8+ years of hands-on experience in BI, data engineering, or advanced analytics roles.

• Education: Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field (or equivalent practical experience).

• Certifications (Highly Desirable): Microsoft Certified:
  Power BI Data Analyst, Azure Data Engineer Associate, or DP-600 (Fabric Analytics Engineer).

• Prior leadership, mentoring, or business development experience.

• Industry background in Finance, Sales, HR, or Geoscientific domains
  .

• Experience working within the market research sector.

Benefits:

Competitive salary based on experience (salary can potentially be more based on experience/skills)

IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to