A leading organisation is seeking a Senior Data Engineer to take ownership of designing, building, and optimising scalable data pipelines and infrastructure. This role focuses on enabling data-driven decision-making across the enterprise through close collaboration with data scientists, analysts, and DevOps teams. The ideal candidate will have strong AWS experience, proficiency in data architecture, and a solid DevOps foundation.

Key Responsibilities

• Develop and maintain efficient ETL/ELT data pipelines using tools such as Airflow, AWS Glue, and AWS DataZone.
• Design high-performance data warehousing solutions with AWS Redshift.
• Maintain data quality through robust validation, transformation, and integration processes.
• Architect and manage cloud-based data platforms using AWS technologies.
• Leverage Infrastructure-as-Code tools such as Terraform and CloudFormation.
• Implement CI/CD pipelines for seamless data pipeline deployment and updates.
• Collaborate with teams across data, analytics, and architecture to align strategies.
• Mentor junior team members and contribute to technical leadership.
• Ensure data security, governance, and compliance with relevant standards like POPIA.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or a related field (Master’s degree advantageous).
• 5+ years’ experience in data engineering, with at least 2 years in a senior capacity.
• Strong AWS expertise, particularly with AWS Redshift and associated services.
• Proven experience with DevOps practices and Infrastructure-as-Code.
• Knowledge of Data Mesh principles is a plus.
• Proficient in SQL and NoSQL databases.
• Experience in Agile environments and cloud-first data architectures.
• Industry experience in financial services, fintech, banking, or retail preferred.
• AWS certification is advantageous.

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* If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.