Senior Data Engineer | Cloud Data Pipelines & Warehousing

JVR Software; Johannesburg; Hybrid; ZAR 810,000 - 990,000; Full time

Job summary

E-Merge in Gauteng is seeking a Senior Data Engineer to design, build and maintain scalable data solutions. You will develop ETL/ELT pipelines, optimize data warehouses and consolidate data from diverse systems.

The role requires strong SQL and Python, plus experience with cloud databases and data governance. A hybrid Johannesburg setup and exposure to modern data platforms are a plus.

Qualifications

• 5+ years of experience in data engineering or related field.
• Strong SQL and Python skills.
• Proven ETL/ELT and data integration experience.
• Experience with relational and/or cloud databases.
• Strong understanding of data warehousing and dimensional modelling.
• Exposure to AWS, Azure or GCP.
• Experience with orchestration tools and Git.
• Advantageous: Azure Data Factory / AWS Glue /Databricks / Snowflake / Microsoft Fabric Power BI / Apache Spark /Kafka /Docker / Kubernetes.

Responsibilities

• Design, develop and maintain scalable ETL/ELT pipelines for reliable data processing.
• Build, enhance and optimise data warehouses and modern data platforms.
• Integrate and consolidate data from diverse sources and systems.
• Develop high-performance SQL queries and efficient data transformation processes.
• Maintain high standards of data quality, governance, security and availability.
• Monitor, troubleshoot and continuously optimise data pipelines and workflows.
• Collaborate with Data Analysts, BI Developers, Software Engineers and business stakeholders to deliver effective data solutions.
• Contribute to data architecture, automation and engineering best practices.
• Develop and support cloud-based data solutions to enable scalable and efficient data processing.

Skills

5+ years experience

SQL

Python

ETL/ELT

Data integration

Data warehousing

Git

Cloud databases

Azure Data Factory / AWS Glue

Databricks / Snowflake / Kafka

Docker / Kubernetes

Tools

AWS Glue

Databricks

Snowflake

Power BI

Azure Data Factory

Apache Spark

Kafka

Docker

Kubernetes

Job description

E-Merge in Gauteng is seeking a Senior Data Engineer to design, build and maintain scalable data solutions. You will develop ETL/ELT pipelines, optimize data warehouses and consolidate data from diverse systems.

The role requires strong SQL and Python, plus experience with cloud databases and data governance. A hybrid Johannesburg setup and exposure to modern data platforms are a plus.