Job Description

Job Title: Data EngineerLocation: Middelburg, MpumalangaJob Type: Full-TimeWant to be a part of a leading manufacturer in the steel industry that is renowned for commitment to innovation and excellence. They are looking for a highly skilled Data Engineer to join their dynamic team. In this role, you will be at the forefront of designing and building data engineering solutions that support our data landscape at scale.Job Summary: As a Data Engineer, you will be responsible for overseeing the complete data engineering process, from data generation and storage to ingestion, transformation, and serving. You will ensure that our data systems are optimized for performance, scalability, and security, while maintaining high standards of quality and compliance.Key Responsibilities:

• Data Integration: Integrate data from various sources (organized, disorganized, structured, and unstructured) into centralized repositories. Develop and maintain ETL pipelines to streamline data processing.
• Data Cataloguing: Maintain detailed catalogs of data assets to support internal data professionals and facilitate data analysis.
• Data Quality and Governance: Design and enforce data quality standards and governance policies to ensure data reliability and accuracy.
• Data Security: Develop and implement security protocols and access controls to ensure compliance with privacy regulations.
• Performance Optimization: Continuously optimize query and processing performance for efficient data handling.
• Internal Collaboration: Work closely with Production, Distribution, Engineering, Technical, OPS Planning, and IT Teams to align data engineering solutions with organizational needs.
• External Liaison: Interface with external system suppliers, consultants, and application software vendors to integrate external data systems with Columbus Stainless systems.

• Education: Grade 12 with Maths and Science; Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Experience:

• Minimum of 2 years in Project Management.
• At least 4 years of experience in Data Engineering principles and best practices.
• Minimum of 3 years of experience in Software Design and Engineering principles.
• At least 4 years of experience in Data Modelling, Data Integration (ETL), System Architecture Design, and System Optimization.
• Minimum of 2 years of Production Process knowledge related to steelmaking, metallurgy, material routing, and the Columbus product range.
• Experience in MS SQL and Oracle.

• Technical Skills: Proficient in data engineering tools and technologies, ETL processes, data modeling, and system architecture.
• Management Skills: Proven experience in project management and process optimization.
• People Skills: Ability to work collaboratively with internal teams and external stakeholders.
• Personal Competencies: Strong problem-solving abilities, attention to detail, and adaptability.
• Administrative Skills: Effective organizational and time management skills.

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