Senior Data and ML Engineer

This role is with a South African company dedicated to managing and operating renewable energy power plants. As a Senior Data and ML Engineer, you will be responsible for setting the technical direction of the enterprise data platform, ensuring that data is consistent and reliable across various business domains. Your work will directly impact the efficiency and effectiveness of the company's operations in the renewable energy sector.

In your day-to-day activities, you will own the enterprise data model and design the Single Source of Truth (SSOT) to maintain data integrity. You will architect MLOps frameworks and develop ML data pipelines, establishing standard patterns for algorithm development. Additionally, you will design integration patterns that utilize operational and asset management data to power machine learning models.

The ideal candidate will have extensive experience in data engineering or data platform development, with a strong focus on data governance and security. You should be comfortable working with complex data systems and have a solid understanding of analytics-led alerting and cross-site data integrity. This role is perfect for someone who is passionate about data and wants to make a significant impact in the renewable energy industry.

Key responsibilities include: • Owning the enterprise data model and SSOT design • Architecting MLOps frameworks and ML data pipelines • Designing integration patterns for ML models • Enforcing data governance and security standards

To succeed in this role, you should have 7 to 10 years of relevant experience and a strong technical background in data engineering. If you are looking to contribute to a sustainable future while advancing your career in data engineering, this position could be a great fit for you.