DataOps Engineer: ETL Pipelines & DB Administration

Blue Label Telecoms Limited; Sandton; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

Blue Label Telecoms Limited seeks an experienced Data Ops/Data Engineer at Grayston Drive, Sandton, to own and optimize large data pipelines. You will design robust ETL flows with Python and Airflow and steward local server environments for ML data needs.

The role emphasizes data integrity, POPIA compliance, and collaboration with IT support to ensure uptime and scalable data foundations. Strong SQL, Linux, and shell scripting skills are essential for success.

Qualifications

• 3–5 years of data engineering, database administration, or backend software experience.
• Proficient in Python and advanced SQL for large datasets.
• Experience building DAGs in Apache Airflow and managing relational databases.

Responsibilities

• Design, build, and maintain automated ETL pipelines using Python and Apache Airflow.
• Ingest and reconcile massive datasets from telecom/marketing sources.
• Architect monthly updates of data records and support ML data foundations.
• Manage LAMP stack and CPanel environments, with focus on performance and reliability.

Skills

Large datasets

Analytical skills

Problem solving

Attention to detail

Self-driven

Learning ability

Education

CS degree or equivalent

Tools

Python

Apache Airflow

Linux

CPanel

PHP

Bash

SQL

Job description

Blue Label Telecoms Limited seeks an experienced Data Ops/Data Engineer at Grayston Drive, Sandton, to own and optimize large data pipelines. You will design robust ETL flows with Python and Airflow and steward local server environments for ML data needs.

The role emphasizes data integrity, POPIA compliance, and collaboration with IT support to ensure uptime and scalable data foundations. Strong SQL, Linux, and shell scripting skills are essential for success.