Business Intelligence (BI) Engineer

PURPOSE

The Business Intelligence (BI) Engineer will play a critical role in supporting the Data-as-a-Service (DaaS) team, which is responsible for delivering data-driven solutions and insights that create new revenue streams for the business. The role requires a deep understanding of data infrastructure, analytics, and reporting, as well as strong collaboration with internal stakeholders and external clients to optimise data utilisation through innovative solutions within a cloud ecosystem.
This position requires advanced technical expertise, a strategic mindset, and the ability to engage with clients at a senior level to gather requirements and support the development of business intelligence solutions.

OBJECTIVES (main duties and responsibilities)

• Collaborate closely with senior leadership to align BI strategies with business objectives.
• Deliver high-quality, scalable BI solutions that provide actionable insights to clients.
• Lead end-to-end BI projects, including requirement gathering, design, development, deployment, and ongoing maintenance.
• Conduct data analysis and translate findings into meaningful dashboards and reports using Power BI.
• Develop and optimise ETL processes and data pipelines to ensure efficient data flow and transformation.
• Work across multiple departments within AgrigateOne (AG1) to gain a comprehensive understanding of data sources and business operations.
• Effectively prioritise and manage multiple BI initiatives, ensuring timely and high-quality delivery.
• Engage with clients to understand their data needs, create dashboard mock-ups, and refine requirements.
• Maintain comprehensive project documentation, including Confluence documentation and Jira ticketing for project tracking.
• Ensure data integrity, security, and governance best practices are upheld.

ROLE REQUIREMENTS

Formal Qualifications

• Bachelor’s degree in Data Science, Computer Science, Business Analytics, Information Systems, or a related field.
• Relevant certifications in Business Intelligence, Data Engineering, or Analytics (e.g., Microsoft Certified: Azure Data Engineer, Power BI Certification) are beneficial.

Knowledge, Skills & Experience

• Minimum 3 years of experience in a BI, Data Engineering, or Data Analytics role.
• Advanced proficiency in SQL Server Management Studio (SSMS) and database management.
• Strong experience with ETL development, data transformation, and pipeline management.
• Expertise in Power BI, including DAX, Power Query, and visualization best practices.
• Solid understanding of data warehousing concepts and architecture.
• Strong analytical and problem-solving skills with a detail-oriented mindset.
• Experience with cloud-based data platforms, preferably Microsoft Azure (Azure Data Factory, Azure Synapse, or similar tools).
• Ability to communicate complex data concepts effectively to both technical and non-technical stakeholders.

Job Related Experience

• Experience working under tight deadlines and managing multiple priorities.
• Ability to work independently as a self-starter while contributing to a team-oriented environment.
• Strong understanding of business process flows, data governance, and documentation best practices

Languages

• English
• Afrikaans (Beneficial)

CULTURE

• A proactive professional who aligns with the company's values, ethics, and diverse culture.
• Passion for data-driven problem-solving, innovation, and continuous learning.
• Preferably, experience or interest in the agriculture, logistics, or technology industries.
• A dynamic, growth-oriented individual who can evolve with the company and contribute to its strategic vision.
• This role presents an opportunity to be part of a high-impact team that leverages data to drive business growth and efficiency. If you have the expertise, drive, and passion for data intelligence, we encourage you to apply.
  
  

COMPANY OVERVIEW

Visit our About Us page to discover more about our culture, work ethic, and vision.