Data Engineer

Uyandiswa Project Management Services; Johannesburg; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Uyandiswa Project Management Services is seeking a Data Engineer to design, build, and maintain robust data pipelines and infrastructure supporting our BI & Analytics practice. You will enable clients to capture, integrate, and process data reliably, laying the foundation for sound analytics and strategic decision-making.

You will collaborate with analysts to translate data requirements into scalable solutions, optimize data models and warehouses, ensure data quality and governance, and

Qualifications

• Bachelor's degree in a related field.
• Minimum 3-5 years’ experience in a data engineering role.
• Strong proficiency in SQL and at least one programming language (Python, Scala, or Java).
• Experience with ETL tools and cloud data platforms (Azure, AWS, GCP, Snowflake, Databricks).
• Experience with data warehousing concepts and data modelling techniques.
• Exposure to Financial Services, Energy, Manufacturing, or Consumer Goods data environments advantageous.

Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines from diverse source systems.
• Develop and optimise data models, warehouses, and lakes to support reporting and analytics needs.
• Ensure data quality, integrity, and governance across pipelines and storage layers.
• Collaborate with Data Analysts and Business Analysts to understand data requirements and deliver fit-for-purpose datasets.
• Monitor and troubleshoot data pipeline performance, resolving issues proactively.
• Implement data security, access controls, and compliance measures in line with client and industry standards.

Skills

SQL

Python

Scala

Java

Agile

Data Modeling

Education

Bachelor's degree in Computer Science / Data Engineering / Information Systems or related field

Tools

Azure

AWS

GCP

Snowflake

Databricks

ETL Tools

Job description

Uyandiswa is seeking a Data Engineer to design, build, and maintain robust data pipelines and infrastructure supporting our Business Intelligence & Analytics practice. You will enable clients to capture, integrate, and process data reliably, laying the foundation for sound analytics and strategic decision-making.

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines from diverse source systems.
• Develop and optimise data models, warehouses, and lakes to support reporting and analytics needs.
• Ensure data quality, integrity, and governance across pipelines and storage layers.
• Collaborate with Data Analysts and Business Analysts to understand data requirements and deliver fit-for-purpose datasets.
• Monitor and troubleshoot data pipeline performance, resolving issues proactively.
• Implement data security, access controls, and compliance measures in line with client and industry standards.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Minimum 3-5 years’ experience in a data engineering role.
• Strong proficiency in SQL and at least one programming language (Python, Scala, or Java).
• Experience with ETL tools and cloud data platforms (e.g. Azure, AWS, GCP, Snowflake, Databricks).
• Experience with data warehousing concepts and data modelling techniques.
• Exposure to Financial Services, Energy, Manufacturing, or Consumer Goods data environments advantageous.

Skills and Competencies

• Strong technical problem-solving skills and attention to detail.
• Sound understanding of data architecture, governance, and security principles.
• Ability to translate business and analytical requirements into robust technical solutions.
• Good communication skills for engaging with both technical and business stakeholders.
• Comfortable working in Agile delivery environments.
• Continuous learning mindset, keeping pace with evolving data engineering tools and practices.