Join a leading renewable energy company as a Senior Data and ML Engineer. You'll shape the architecture of their enterprise data platform and drive innovative data solutions across various business domains.
This role is with a South African company that specializes in managing renewable energy power plants. As a Senior Data and ML Engineer, you will be responsible for setting the technical direction and architecture of the company's enterprise data platform. Your work will directly impact how data is utilized across various business domains, ensuring consistency and integrity in data management.
In your day-to-day activities, you will own the enterprise data model and design the single source of truth (SSOT) to maintain data consistency. You will also architect MLOps frameworks and develop ML data pipelines, establishing standard patterns for algorithm development and library usage. Your expertise will be crucial in designing integration patterns that leverage operational and asset management data to power machine learning models.
The role is ideal for someone with extensive experience in data engineering, particularly in developing data platforms. You should have a strong background in data governance and security, as well as the ability to enforce model risk standards. The company values innovation and is looking for someone who can drive analytics-led alerting and ensure cross-site data integrity.
Key responsibilities include: • Owning the enterprise data model and SSOT design • Architecting MLOps frameworks and ML data pipelines • Designing integration patterns for ML models • Setting standards for Asset Framework modeling and calculations • Enforcing data governance and security standards
If you have 7-10 years of experience in data engineering and a passion for renewable energy, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.