Lead Data Engineer — Build Scalable Pipelines & Strategy

Placements24; Vereeniging; On-site; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Annual bonus

Medical coverage

Retirement fund

Job summary

Placements24 is seeking a Lead Data Engineer in Vereeniging, Gauteng, to build and manage a scalable data infrastructure for a fast-growing fintech. You will design, implement, and optimize data pipelines, warehousing, and modeling while ensuring data quality and accessibility for analytics and ML teams.

You will mentor junior engineers, drive best practices, and shape the company data strategy, collaborating with data scientists, analysts and stakeholders across the organization.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Minimum of 6 years of experience in data engineering, data warehousing, or related role.
• Proven expertise with large-scale data pipelines using Spark, Kafka, or Flink.
• Strong proficiency in SQL and experience with PostgreSQL, MySQL, or NoSQL databases.
• Experience with cloud platforms (AWS, Azure, GCP) and data services (S3, Redshift, BigQuery).
• Proficiency in Python or Scala and knowledge of dimensional modeling.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Develop and optimize data warehousing solutions for BI and analytics.
• Implement and manage data modeling for structured and unstructured data.
• Ensure data quality, integrity, and reliability across systems.
• Collaborate with data scientists, analysts, and stakeholders to understand data needs.
• Develop data governance policies and monitor performance; mentor junior engineers.

Skills

Data pipelines design

SQL

Python

Scala

Leadership

Data governance

Communication

Education

Bachelor's or Master's in CS/Engineering or related field

Tools

Apache Spark

Kafka

Flink

AWS/GCP/Azure data services

BigQuery/Redshift/S3

Job description

Placements24 is seeking a Lead Data Engineer in Vereeniging, Gauteng, to build and manage a scalable data infrastructure for a fast-growing fintech. You will design, implement, and optimize data pipelines, warehousing, and modeling while ensuring data quality and accessibility for analytics and ML teams.

You will mentor junior engineers, drive best practices, and shape the company data strategy, collaborating with data scientists, analysts and stakeholders across the organization.