Senior business intelligence developer (ai & data engineering)
Summary
Design and build AI-driven data pipelines and Power BI dashboards for a fintech platform that connects cash and digital economies, using Microsoft Fabric, Azure, and SQL.
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. #J-18808-Ljbffr