Data Engineer: Build Scalable Data Pipelines & Insights

Info Desk; Cape Town; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

Sea Harvest is seeking a Data Engineer to design, build, and maintain scalable data pipelines and data platforms in a cloud environment. The role supports BI, analytics, automation, and decision-making across the organization, interfacing with analysts, data scientists, and business stakeholders.

You will work on data warehousing, lakehouse architectures, data modelling, and governance to ensure data quality, security, and traceability across layers.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Microsoft certifications in Data Engineering, Azure, Fabric, or related technologies are highly desirable.
• Experience with Microsoft Fabric, Azure data services, or similar cloud data platforms is required.
• At least 3–5 years of hands‑on experience in data engineering, data warehousing, or related roles.

Responsibilities

• Design, build, and maintain robust and scalable data pipelines from multiple source systems.
• Develop dimensional and analytical data models to support reporting and analytics.
• Ensure data quality, governance, and security across data layers.
• Collaborate with BI analysts and business stakeholders to ensure datasets meet requirements.

Skills

SQL

Data modelling

ETL/ELT

Python

Spark

Cloud data

Education

Bachelor’s degree in CS/IT/Eng

Tools

Microsoft Fabric

Azure data services

Data Factory

Lakehouse

Data Warehouse

Job description

Sea Harvest is seeking a Data Engineer to design, build, and maintain scalable data pipelines and data platforms in a cloud environment. The role supports BI, analytics, automation, and decision-making across the organization, interfacing with analysts, data scientists, and business stakeholders.

You will work on data warehousing, lakehouse architectures, data modelling, and governance to ensure data quality, security, and traceability across layers.