Senior Python Data Engineer — Hybrid, Upington

Placements24; Riverton (UT); Hybrid; USD 54,000 - 91,000; Full time

Benefits offered by this job

Medical aid

Retirement benefits

Professional development

Hybrid work model

Job summary

Placements24 seeks an experienced Senior Software Engineer in Upington, SA, to build scalable data pipelines and data platforms using Python. You will optimize processing, model data, and support data-driven decisions in a hybrid work setup.

The role emphasizes data warehousing, collaboration with data scientists, and robust data governance across cloud platforms. A strong background in data engineering and SQL is essential.

Qualifications

• 5+ years of professional software engineering focused on data engineering.
• Strong Python development experience with data pipelines and data modeling.
• Expertise in SQL and relational databases (PostgreSQL/MySQL).
• Experience with data warehousing concepts and ETL/ELT processes.
• Familiarity with cloud data services (AWS/Azure/GCP).
• Version control with Git.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Python and related technologies.
• Build and optimize data processing jobs ensuring data quality and availability.
• Develop and manage data warehouses and data lakes with effective data modeling.
• Integrate data from multiple sources into a unified format.
• Collaborate with data scientists and analysts to meet data needs.
• Implement data security and governance best practices.
• Optimize database performance and query efficiency.
• Automate data-related tasks and resolve pipeline issues.
• Stay updated with emerging data engineering technologies.

Skills

Python

Data engineering

Pandas

NumPy

SQLAlchemy

SQL

PostgreSQL

MySQL

Git

Cloud platforms (AWS/Azure/GCP)

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Spark

Hadoop

Job description

Placements24 seeks an experienced Senior Software Engineer in Upington, SA, to build scalable data pipelines and data platforms using Python. You will optimize processing, model data, and support data-driven decisions in a hybrid work setup.

The role emphasizes data warehousing, collaboration with data scientists, and robust data governance across cloud platforms. A strong background in data engineering and SQL is essential.