Data Engineer - Cloud Pipelines & Analytics

Sea Harvest; Cape Town; On-site; ZAR 550,000 - 850,000; Full time

Job summary

Sea Harvest is seeking a Data Engineer to design, build and maintain scalable data pipelines and platforms that deliver reliable, secure data for analytics, reporting and insights.

The role focuses on ingesting and modeling data from multiple sources, collaborating with BI analysts, data scientists and business stakeholders to ensure data is fit for purpose, performant and compliant with governance standards.

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, develop, and maintain robust and scalable data pipelines (batch and near-real-time) from multiple source systems.
• Build and optimize ETL/ELT processes to ingest, cleanse, transform, and model data for analytical use cases.
• Implement data orchestration, scheduling, and monitoring to ensure reliability and data freshness.
• Optimize performance, cost, and scalability of data pipelines and data storage solutions.
• Design and maintain enterprise data warehouse and lakehouse architectures.
• Develop dimensional and analytical data models to support reporting, dashboards, and advanced analytics.
• Ensure data consistency, traceability, and lineage across data layers (raw, curated, presentation).
• Collaborate with BI analysts to ensure datasets are structured for efficient consumption.
• Implement data quality checks, validation rules, and exception-handling mechanisms.
• Enforce data governance standards, naming conventions, and documentation practices.
• Ensure data security, access controls, and compliance with internal policies and regulatory requirements.
• Support the auditing and monitoring of data usage and integrity.

Skills

SQL & data modelling

ETL/ELT pipelines

Python

Spark

Cloud data architectures

APIs & system integrations

Problem solving

Communication

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Microsoft Fabric

Azure data services

Job description

Sea Harvest is seeking a Data Engineer to design, build and maintain scalable data pipelines and platforms that deliver reliable, secure data for analytics, reporting and insights.

The role focuses on ingesting and modeling data from multiple sources, collaborating with BI analysts, data scientists and business stakeholders to ensure data is fit for purpose, performant and compliant with governance standards.