Senior Specialist – Data Engineer

Impronics Technologies; Gauteng; On-site; ZAR 600,000 - 850,000; Full time

Job summary

Impronics Technologies in Gauteng, South Africa is looking for a Senior Specialist – Data Engineer to design and optimize data pipelines. You will be involved in building data solutions that support analytics while ensuring compliance with governance and security standards. Candidates must have 5-7 years of experience in data engineering and strong skills in SQL, PL/SQL, and Spark. A Bachelor’s degree in a related field is required.

Qualifications

• 5–7 years of hands-on experience in data engineering.
• Proven experience building and maintaining databases and data integration solutions.
• Strong experience with data pipeline tools.

Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures.
• Implement best practices for data integration and reporting.
• Build infrastructure for efficient ETL using AWS and SQL.

Skills

SQL

PL/SQL

Spark

Data Engineering Principles

Big Data Frameworks

Education

Bachelor’s degree in Business Commerce, Information Studies, IT, or related

Tools

AWS

Data Warehousing

Job description

We are seeking a Senior Specialist – Data Engineer to join our dynamic team. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and data platforms that support enterprise-wide analytics and decision-making. You will ensure all data solutions comply with architectural standards, governance frameworks, and security policies, while partnering closely with business and technology stakeholders.

Key Responsibilities

• Design, develop, and maintain scalable, high-performance data pipelines and architectures.
• Implement best practices for data integration, data warehousing, and reporting.
• Build and manage infrastructure for efficient data extraction, transformation, and loading (ETL) using AWS and SQL-based technologies.
• Develop APIs and data tools to support analytics, reporting, and downstream data consumers.
• Automate data processes to improve operational efficiency and scalability.
• Ensure data governance, security, and regulatory compliance in collaboration with Information Security teams.
• Perform root-cause analysis on data issues and recommend long-term improvements to data systems.
• Collaborate with cross-functional teams to translate business requirements into robust technical solutions.

Qualifications

Education

Bachelor’s degree in Business Commerce, Information Studies, Information Technology, or a related field.

Experience

• 5–7 years of hands‑on experience in data engineering.
• Proven experience building and maintaining databases, data warehouses, and data integration solutions.
• Strong experience with SQL, PL/SQL, Spark, and modern data pipeline tools.
• Demonstrated ability to optimize big data architectures and develop APIs.
• Solid understanding of data engineering principles, integration patterns, and performance optimization.
• Advanced expertise in Data Engineering and data pipeline development.
• Strong knowledge of data integrity, big data frameworks, and modern data architectures.
• Broad IT knowledge with the ability to manage and collaborate with diverse stakeholders.