Senior BI Data Engineer - Boksburg - Engineering /

To design, build, and maintain robust, scalable data infrastructure that ensures secure, real-time access to operational and supply chain data. This role underpins accurate reporting, advanced analytics, and automationenabling performance optimisation, cost reduction, and smarter decision-making across the logistics value chain

1. Design, build, and maintain ELT pipelines

Pipeline success rate

Data latency (extraction to availability)

Error resolution turnaround time

2. Integrate data across systems (WMS, TMS, ERP, IoT)

Number of successful system integrations

% data completeness and consistency across sources

Average time to onboard new data source

3. Data Lake / Warehouse Management

System uptime and availability

Query performance (execution speed)

Storage usage vs. capacity

4. Structured & Clean Data Sets

Data quality score (accuracy, completeness, validity)

Number of reported data issues

Resolution turnaround time

5. Collaboration with BI & Data Science Teams

Time to deliver datasets for reports/models

Internal stakeholder satisfaction rating

S% support requests resolved within SLA

6. Documentation & Data Cataloguing

% of pipelines with up-to-date documentation

Metadata completeness

User ease of data discovery

7. Security & Compliance Support

% compliance with access control policies

Number of unauthorised access incidents

Audit readiness/ completion rate

8. Process Automation

Manual hours reduced via automation

Number of recurring tasks automated

Stability of automated workflows

9. Issue Analysis & Root Cause Investigations

Time to issue resolution (from investigation to recommendation)

Number of root causes correctly identified

Reduction in repeated issues

10. Advanced SQL Development, Optimization & Data Engineering

Query performance improvements (execution speed, efficiency)

SQL-based data validation, transformation, and cleansing coverage

Reusable SQL pipelines for recurring logistics workflows (inventory,

shipments, routing)

SQL-based reconciliation across multiple systems

Version-controlled, documented SQL scripts aligned with governance standards

Reduction in errors or rework due to SQL inefficiencies

Education and Experience

Bachelor''s/Masters in Computer Science or related field

Preferred certifications:

o Microsoft Certified: Azure Data Engineer Associate

o Google Professional Data Engineer

o AWS Certified Data Analytics

o Certifications in BI or analytics tools (e.g. Power BI, Tableau, SQL)

35 years experience in data engineering, preferably in logistics, supply chain sectors