Senior BI Developer

About Powerfleet Powerfleet (Nasdaq: AIOT; JSE: PWR) is a global leader in the artificial intelligence of things (AIoT) software-as-a-service (SaaS) mobile asset industry. With more than 30 years of experience, Powerfleet unifies business operations through the ingestion, harmonization, and integration of data—regardless of source—and delivers actionable insights to help companies meet their strategic objectives around Safety, Compliance, Efficiency and Sustainability. Our people-first culture and relentless innovation empower customers to achieve measurable, sustainable business improvements. Powerfleet serves over 2.6 million subscribers across more than 48,000 customers in 120 countries, with commercial operations across every major continent. Position Overview Powerfleet is a global leader in IoT-driven fleet and mobile asset intelligence, delivering SaaS solutions across 120+ countries. We are seeking a Senior BI Developer to join our Data and Analytics team. This role sits at the intersection of business intelligence and data engineering, responsible for building, optimizing, and maintaining reporting solutions, semantic models, and data pipelines that drive both operational and strategic decision-making. You will partner closely with data engineering, AI, and business teams to translate complex requirements into scalable, high-quality BI solutions while ensuring data reliability, performance, and usability across the organization.

Key Responsibilities

Business Intelligence & Reporting

• Design, develop, and maintain Power BI reports, dashboards, and semantic models to support business intelligence needs
• Build and manage SSRS reports, subscriptions, and data-driven delivery solutions
• Apply data visualization best practices to deliver clear, actionable insights

Data Engineering & Integration

• Develop, maintain, and optimize SSIS packages for data integration and transformation
• Design and manage ETL/ELT pipelines handling large-scale real-time and batch data
• Support and evolve data warehouse architecture for scalability and performance

Database Management & Performance

• Optimize SQL Server performance through indexing strategies, query tuning, and maintenance
• Manage database reliability, including backup strategies and job scheduling

AI & Advanced Analytics Enablement

• Encode business logic into AI-driven workflows and agent-based systems
• Collaborate with AI and data teams to enable conversational and agentic BI interfaces

Data Quality & Governance

• Own data quality, observability, and consistency across BI and reporting layers
• Contribute to architectural decisions across data storage, compute, and reporting systems

Collaboration & Delivery

• Work cross-functionally with engineering, analytics, and business stakeholders
• Translate business requirements into scalable, production-ready BI solutions
• Communicate technical trade-offs effectively to both technical and non-technical audiences

Qualifications

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field with 5+ years of experience, OR
• Master’s degree with 3+ years of relevant experience

Technical Skills

• Advanced SQL Server and T-SQL (complex queries, stored procedures, performance tuning)
• Strong experience with SSIS, SSRS, and Power BI (including DAX and semantic modeling)
• Solid understanding of data warehousing (Kimball methodology, star schemas, SCDs)
• Experience with PostgreSQL, MS SQL Server, and Snowflake
• Programming experience in Python and/or C#
• Familiarity with scripting (Bash/PowerShell)

Preferred / Advantageous

• Experience with big data tools (Apache Spark, Kafka, Kinesis)
• Exposure to AWS or Azure data platforms
• Knowledge of data lake/lakehouse architectures
• CI/CD and infrastructure-as-code experience
• Familiarity with Docker, Kubernetes, or Airflow
• Experience with observability tools (e.g., CloudWatch, OpenTelemetry)
• Background in IoT, telematics, or time-series data environments

Core Competencies

• End-to-end ownership mindset, from development through production reliability
• Strong problem-solving and analytical thinking skills
• Ability to communicate complex concepts clearly
• Collaborative and cross-functional team player
• Focus on quality, scalability, and maintainability
• Continuous learner who stays current with evolving BI and data technologies

EEO/ BEE Statement Powerfleet is an equal opportunity employer committed to employment equity, diversity, and inclusion. In alignment with the Employment Equity Act 1998 and our Employment Equity plan, we actively encourage applications from designated groups, including Black people, women, and individuals with disabilities. As part of our commitment to transformation and in accordance with the Broad-Based Black Economic Empowerment Act, preference may be given to candidates from designated groups where appropriate. All qualified applicants will be considered based on merit, skills, and experience. We are committed to providing reasonable accommodation throughout the recruitment process. If you require support or adjustments, please let us know.