Data Analytics Engineer: Channel Insights & Self-Serve

Travelbyinvestec; Sandton; On-site; ZAR 900,000 - 1,300,000; Full time

Job summary

Investec is seeking a Data Analytics Engineer to bridge data engineering and analytics. You will convert analyst specifications into governed, reusable data products on the Group data platform, owning the semantic layer to make cross‑channel experiences measurable.

The role emphasizes building scalable, reusable data products, analytical models and Power BI assets, enabling Business Unit Analytics teams to self-serve reliable insights with certified foundations.

Qualifications

• Strong SQL and Python for data transformation and automation.
• Understanding of dimensional and semantic modelling with Kimball techniques.
• Experience with data governance, data contracts and data quality controls.
• Familiarity with CI/CD and DevOps practices in data projects.
• Bachelor/Master in CS/Engineering; Business Analytics background helpful.
• Certifications such as DP-600/DP-700 or DP-203 may be preferred.

Responsibilities

• Design, build and maintain governed data products on the Group data platform.
• Develop semantic models, star schemas and KPI logic for cross‑channel analyses.
• Ensure data quality, conformance and certification evidence.
• Build Power BI assets for descriptive to prescriptive analytics.
• Create reusable datasets, templates and onboarding materials.

Skills

SQL

Python

Dimensional modelling

Data governance

Azure DevOps

CI/CD

Education

Bachelors or Masters in Computer Science/Engineering

Business Analytics

Tools

Microsoft Fabric

Databricks

Delta

Spark/PySpark

Azure Data Factory

Synapse

ADLS Gen2

Job description

Investec is seeking a Data Analytics Engineer to bridge data engineering and analytics. You will convert analyst specifications into governed, reusable data products on the Group data platform, owning the semantic layer to make cross‑channel experiences measurable.

The role emphasizes building scalable, reusable data products, analytical models and Power BI assets, enabling Business Unit Analytics teams to self-serve reliable insights with certified foundations.