Senior Business Intelligence Developer (AI & Data Engineering)
Summary
Lead the design and build of AI-driven BI solutions using Microsoft Fabric, Azure Data Factory, SQL Server, and Power BI to transform raw data into actionable insights for a fintech ecosystem.
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 aSenior Business Intelligence Developer to lead the design, development, and implementation of their next-generation, AI-driven data solutions -Hybrid/remote.
Responsibilities:
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.
Minimum Responsibilities:
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.
Qualifications & Education
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).
Preferred Attributes (Bonus)
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 itcareers@hireresolve.za.com