Data Engineer

Recruiter:

Network Contracting

Job Ref:

NCM002556/Zandi

Date posted:

Wednesday, November 19, 2025

Location:

Johannesburg, South Africa

Salary:

Hourly

SUMMARY:

Brief Description:

Are you an experienced Data Engineer with strong data pipeline, integration, and cloud engineering expertise?
I am currently building a pipeline of highly skilled Data Engineers for contract and long-term assignments across South Africa. These roles offer the opportunity to work with modern data architectures, cutting-edge cloud technologies, and high-impact engineering projects across multiple industries.

POSITION INFO:

Job & Company Description:

I’m looking for Data Engineers with solid hands-on experience designing and building scalable data solutions. You will work with clients in Financial Services, Telecommunications, Technology, and Consulting, contributing to the development of enterprise data architectures and engineering best practices.
You will play a key role in designing robust pipelines, implementing ETL/ELT solutions, managing data quality, and supporting cloud-driven data initiatives.

Key Responsibilities:

Design and maintain ETL/ELT pipelines and scalable data ingestion solutions.
Build and optimize data warehouses, data lakes, and lakehouse environments.
Develop batch and real-time data processing solutions.
Implement data integration solutions (ADF, SSIS, Talend, Informatica, AWS Glue).
Develop CI/CD pipelines for data workflows.
Collaborate with BI, Cloud, Analytics, and Development teams.

Job Experience and Skills Required:

Education:

Degree/Diploma in Computer Science, Data Engineering, IT, Software Engineering, or similar.
Certifications such as Azure/AWS/GCP Data Engineer certifications or Databricks, Snowflake, or Hadoop certifications

Experience:

Minimum 3+ years' experience as a Data Engineer
Strong experience with data pipelines and cloud-based solutions
Advanced SQL & data modelling
ETL/ELT experience (ADF, SSIS, Informatica, Talend, Glue, Databricks)
Cloud experience (Azure, AWS, or GCP)
Big data tools: Spark, Hadoop, Kafka
Python or Scala for data engineering
Data warehouses/lakes (Snowflake, Synapse, Redshift, BigQuery)
CI/CD & version control (Git, Azure DevOps, Jenkins)

Nice to Have:

Streaming technologies (Kafka, Kinesis, EventHub)
Lakehouse architectures (Delta Lake, Databricks)
Exposure to ML data pipelines

Apply now!

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