Data Engineer

The Data Specialist Engineer is responsible for designing, developing, managing, and optimising enterprise data solutions that support business operations, reporting, analytics, and digital transformation initiatives for Boxfusion clients.

Job Title: Data Engineer
Department: PMO
Accountable to: Business Analysis Specialist – PMO Office
Salary: Market related
Working arrangement: Hybrid, with 3 days per week in our Midrand office and 2 days remote. Travel to client sites where required.

Overview:
The Data Specialist Engineer is responsible for designing, developing, managing, and optimising enterprise data solutions that support business operations, reporting, analytics, and digital transformation initiatives for Boxfusion clients. The role focuses on ensuring data accuracy, availability, integrity, and security while enabling data-driven decision-making through effective integration, automation, and reporting solutions.

The incumbent will work closely with project teams, business analysts, developers, and client stakeholders to implement scalable data architectures, dashboards, integrations, and analytical solutions aligned to client operational and strategic objectives.

• Design, develop, implement, and maintain scalable data pipelines and database solutions for client systems.
• Develop and optimise ETL/ELT processes to support data migration, synchronisation, and transformation activities.
• Ensure the integrity, accuracy, consistency, and availability of enterprise data across systems.
• Perform database administration, maintenance, backup management, and performance optimisation.
• Monitor and troubleshoot data-related issues and provide timely resolutions. Analyse the client’s current culture and appetite for transition to automated systems.
• Integrate enterprise applications, third‑party systems, APIs, and cloud‑based platforms.
• Support system interoperability and seamless data exchange between platforms.
• Collaborate with software developers, implementers, and business analysts to understand business data requirements.
• Assist in deployment, testing, and validation of data integration solutions.
• Provide technical support and maintenance for data solutions implemented for clients.
• Develop dashboards, reports, and visual analytics using Power BI, Tableau, or similar tools.
• Analyse complex datasets to identify trends, insights, and operational improvement opportunities.
• Support business intelligence initiatives through accurate and timely reporting.
• Design and maintain data models to support analytical and operational reporting requirements.
• Present findings and technical insights to stakeholders in a clear and understandable manner.
• Ensure compliance with data governance standards, security protocols, and regulatory requirements.
• Implement data quality controls and monitoring mechanisms.
• Assist in defining data standards, naming conventions, and data management procedures.
• Ensure secure access control and protection of sensitive information.
• Maintain technical documentation related to databases, integrations, and reporting solutions.
• Identify opportunities to improve system performance, automation, and reporting efficiencies.
• Research and recommend emerging technologies, tools, and best practices related to data engineering and analytics.
• Participate in digital transformation and innovation initiatives within client environments.
• Contribute to process improvement initiatives that enhance operational effectiveness and service delivery.
• Support AI‑driven analytics and automation initiatives where applicable.

• Diploma or Degree in:
  • Data Science
  • Computer Science
  • Information Systems
  • Statistics
  • Mathematics
  • Software Engineering
  • Engineering or related technical field.
• Certifications in any of the following will be advantageous:
  • Microsoft Azure Data Engineer Associate
  • AWS Certified Data Analytics
  • Google Professional Data Engineer
  • SQL Certifications
  • Power BI / Tableau Certifications.
• 3 to 5 years’ experience in:
  • Data engineering
  • Database development
  • Data analytics
  • ETL pipeline development
  • Business intelligence or systems integration environments.
• Designing and maintaining data pipelines and data warehouses.
• Work…