Analytical Engineer

Analytical Engineer

Recruiter

Golden Rule

Job Ref

GDR03803

Date posted

Thursday, July 23, 2026

Location

Johannesburg, South Africa

Salary

Negotiable

SUMMARY

Role Purpose

The Analytical Engineer is responsible for transforming complex, raw data into trusted, analytics-ready datasets that support business intelligence, advanced analytics, and enterprise decision-making. This role bridges data engineering and analytics by combining data modelling, data transformation, and govern...

POSITION INFO

Role Purpose The Analytical Engineer is responsible for transforming complex, raw data into trusted, analytics-ready datasets that support business intelligence, advanced analytics, and enterprise decision-making. This role bridges data engineering and analytics by combining data modelling, data transformation, and governance expertise to deliver high-quality data products. Key Responsibilities Design and implement scalable data models using Data Vault and dimensional modelling methodologies. Develop and maintain ETL/ELT pipelines to ingest, cleanse, and transform data into trusted analytical datasets. Deliver analytics-ready data to support reporting, dashboards, AI, and advanced analytics initiatives. Ensure data quality, governance, lineage, and compliance with enterprise standards. Collaborate with business stakeholders, architects, data scientists, and delivery teams to translate business requirements into data solutions. Contribute to Agile delivery teams, solution design, and continuous improvement of data engineering practices. Minimum Requirements Qualifications Bachelor's Degree in Computer Science, Information Systems, Engineering, Data Science, or a related field. Relevant Azure, Databricks, Microsoft Fabric, or cloud certifications are advantageous. Experience 5+ years' experience in Data Engineering, Analytics Engineering, or Data Warehousing. Experience designing enterprise data models and building cloud-based analytics solutions. Experience working within Agile project environments. Consulting experience is advantageous.  Technical Skills Essential SQL and Python Data Vault and Dimensional Modelling ETL/ELT development Azure Data Factory Azure Databricks Microsoft Fabric Azure Synapse Analytics Power BI Data Warehousing Data Governance and Quality Frameworks Advantageous Snowflake Apache Spark Microsoft Purview Azure DevOps DataOps and CI/CD Streaming technologies (Kafka/Event Hub)  Key Competencies Analytical thinking and problem-solving Strong stakeholder engagement and communication Attention to detail and data quality Collaborative and client-focused mindset Delivery-focused within Agile environments Governance and compliance awareness  Success Measures Delivery of trusted, analytics-ready datasets. Implementation of scalable and reusable data models. Adherence to enterprise data governance and quality standards. Successful support of reporting, analytics, and AI initiatives. Contribution to high-quality client delivery and data product development. Â