Senior Data Engineer

Placements24; Bloemfontein; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Placements24 is seeking a Senior Data Engineer for Welkom to design, build, and maintain scalable data pipelines and infrastructure supporting analytics and BI. You’ll work with large datasets, diverse sources, and modern tools in a hybrid setup.

You’ll collaborate with data scientists and analysts to deliver clean, accessible data while ensuring quality, security, and reliability across data systems. This role offers growth and a collaborative environment.

Qualifications

• Bachelor's degree in a quantitative field.
• 5+ years in data engineering or similar role.
• Proficient in SQL and at least one programming language (Python/Scala/Java).
• Hands-on with Spark/Hadoop and cloud platforms (AWS/Azure/GCP).
• Strong data modeling and data warehousing knowledge.

Responsibilities

• Design, build, and optimize ETL/ELT data pipelines.
• Create and maintain scalable data warehouses and data lakes.
• Ensure data quality, integrity, and reliability across systems.
• Collaborate with data scientists and analysts to provide clean data.
• Implement and manage data security and compliance measures.
• Monitor performance and troubleshoot data infrastructure.

Skills

SQL

Python

Scala

Java

Education

Bachelor's degree in CS/Engineering/Statistics

Tools

Apache Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a proactive Senior Data Engineer to join their innovative team in Welkom . This role is crucial for designing, building, and maintaining scalable data pipelines and infrastructure that support advanced analytics and business intelligence initiatives. You will work with large datasets, diverse data sources, and cutting-edge technologies to extract valuable insights. This position offers a fantastic opportunity to shape data strategy, optimize data flows, and collaborate with data scientists and analysts in a hybrid work environment.

Key Responsibilities

• Design, develop, and optimize robust ETL/ELT data pipelines using modern tools and technologies.
• Build and maintain scalable data warehouses and data lakes to support analytics and reporting needs.
• Ensure data quality, integrity, and reliability across all data systems.
• Collaborate with data scientists and business analysts to understand data requirements and provide accessible, clean data.
• Implement and manage data security and compliance measures.
• Monitor data infrastructure performance and troubleshoot any issues to ensure optimal operation.

Requirements

• Bachelor's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
• 5+ years of experience in data engineering or a similar role.
• Proficiency in SQL and experience with at least one programming language (e.g., Python, Scala, Java).
• Hands-on experience with big data technologies (e.g., Spark, Hadoop) and cloud data platforms (e.g., AWS, Azure, GCP).
• Strong understanding of data modeling, database design, and data warehousing concepts.
• Excellent analytical and problem-solving skills, with a keen attention to detail.

Benefits

• Competitive salary and performance-based incentives.
• Hybrid work model providing a blend of in-office and remote flexibility.
• Comprehensive medical, dental, and vision benefits.
• Opportunities for continuous learning and professional development in data science and engineering.
• A collaborative and forward-thinking work environment in Welkom .