Azure Data Engineer — AI-Powered Pipelines

Embelo; Wes-Kaap; Hybrid; ZAR 700,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Embelo in Cape Town is hiring a hands-on Data Engineer to join our expanding AI and Data capability. You’ll design, build and optimize data pipelines across Python, SQL, Databricks, and Azure Data Factory, working with lakehouse architectures and Delta Lake in Azure.

This consulting role requires translating business problems into robust data solutions, mentoring teammates, and collaborating with clients. Location is hybrid, Cape Town office 3–4 days a week, with relocation required if coming

Qualifications

• 4-7 years' experience in Data Engineering or similar roles.
• Proven cloud-based data solutions experience on Microsoft Azure.
• Hands-on Databricks, PySpark and Spark experience.
• Strong Python and SQL skills with data pipeline delivery mindset.

Responsibilities

• Design, build and maintain scalable data pipelines and orchestration frameworks.
• Develop ETL/ELT pipelines using Python, SQL, Azure Data Factory, Databricks and dbt.
• Build and optimise lakehouse solutions using Databricks, Spark and Delta Lake.
• Translate business requirements into practical technical designs and data solutions.
• Work directly with clients and internal teams to understand problems and shape the right approach.
• Review technical solutions and support other engineers through mentoring and knowledge sharing.
• Contribute to data quality, testing, monitoring and CI/CD practices across the data platform.

Skills

Python

SQL

Data pipelines

ETL/ELT

Azure

Cloud platforms

Communication

Tools

Databricks

dbt

Delta Lake

Spark

Azure Data Factory

Job description

Embelo in Cape Town is hiring a hands-on Data Engineer to join our expanding AI and Data capability. You’ll design, build and optimize data pipelines across Python, SQL, Databricks, and Azure Data Factory, working with lakehouse architectures and Delta Lake in Azure.

This consulting role requires translating business problems into robust data solutions, mentoring teammates, and collaborating with clients. Location is hybrid, Cape Town office 3–4 days a week, with relocation required if coming