As a Senior Data Engineer, you'll design and optimize data solutions using Microsoft Azure. This role is perfect for those who enjoy working with data pipelines and collaborating with various teams to enhance data-driven decision-making.
The Senior Data Engineer at Affirmative Portfolios will play a crucial role in designing and optimizing data solutions that leverage Microsoft Azure technologies. Based in Pretoria, you will be part of a team that focuses on creating enterprise-level data architectures that support analytics and machine learning initiatives. Your work will directly contribute to data-driven decision-making across the organization.
In this role, you will be responsible for building and optimizing data pipelines and architectures. This includes implementing and managing ETL/ELT workflows using tools like Azure Data Factory, Synapse Analytics, and Databricks. You will also develop and maintain data lakes and data warehouses to facilitate enterprise reporting and analytics.
Key responsibilities include ensuring data quality, security, and governance. You will implement validation, monitoring, and access control frameworks to maintain high standards for data integrity. This position is ideal for someone with a strong background in data engineering and a passion for working with cutting-edge technologies.
To succeed in this role, you should have at least five years of experience in data engineering, particularly with Microsoft Azure. A solid understanding of data pipelines, ETL processes, and data governance is essential. If you enjoy collaborating with various teams and are committed to delivering high-performance data solutions, this position could be a great fit for you.
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