Associate Data and ML Engineer
Cape Town - South Africa
Job Summary
Purpose of the role:
The Associate Data and ML Engineer supports the technical delivery of Globeleqs Data Transformation initiative under the direction of the Data Engineering Manager. The role focuses on building and maintaining assigned data pipelines onboarding assets and preparing data ready for AI and machine learning.
Working within the technical shared services team the Associate translates clear requirements into reliable production grade components applying sound engineering practice under the guidance of senior engineers.
Responsibilities:
Data Engineering:
- Build monitor and maintain assigned data pipelines across API SQL and ETL/ELT workflows resolving routine issues and escalating complex matters where required.
- Develop and extend the integrated Single Source of Truth (SSOT) consolidating data from sources including CAMs ERP OT IoT systems and SharePoint into a layered architecture comprising staging core marts and feature sets.
- Apply sound data engineering practices including version control testing documentation and quality assurance.
- Develop and implement machine learning algorithms for anomaly detection predictive analytics and neural network use cases leveraging established libraries and frameworks under guidance.
- Structure prepare and validate feature sets to ensure data is suitable for machine learning applications including validation of model inputs and outputs.
- Leverage AI coding assistants to improve development efficiency while thoroughly reviewing and validating all generated code before implementation.
- Take ownership of assigned tasks and deliverables ensuring reliable and timely completion while seeking guidance on scope and priorities where required.
- Work within defined requirements established development patterns and agreed standards proactively identifying and escalating risks.
- Adhere to Data Governance Policies security requirements and IT standards while maintaining accurate and up-to-date change records.
- Onboard assets and equipment and map tags into the AVEVA PI Asset Framework and Central Asset Management System (CAMs) using established templates and processes.
- Support the development maintenance and continuous improvement of calculations within CAMs.
- Configure alarms and PI Vision displays according to specifications monitor assigned PI interfaces and resolve routine data quality issues with appropriate support.
- Programming: Solid programming foundations in Python and SQL with C# advantageous. Developing proficiency in SQL including DDL DML stored procedures and views.
- Data Engineering: Working knowledge of API integration ETL/ELT orchestration and data modelling.
- Machine Learning: Solid understanding of machine learning fundamentals including feature engineering model evaluation overfitting and data drift with the ability to develop simple models using established libraries.
- Industrial Data and Engineering: Interest in AVEVA PI and industrial data with sound engineering practices across version control testing documentation and data quality.
- Communication and Ownership: Clear and effective communicator with a strong sense of accountability and ownership for assigned work.
- Education: Degree in Computer Science Information Systems Engineering Mathematics or a related field.
- Experience: 24 years experience in data engineering data platform development or a similar technical role with demonstrated hands-on delivery.
- Data Engineering: Hands-on experience with API integration ETL/ELT scheduling data modelling and basic production operations including monitoring and incident support.
- Technical Skills: Strong proficiency in SQL and Python particularly for data engineering and machine learning enablement.
- Exposure to AVEVA PI including PI Data Archive Asset Framework and PI Vision.
- Experience within power engineering renewable energy industrial data or IoT environments.
- Familiarity with machine learning in production MLOps concepts and deep learning tools such as TensorFlow and PyTorch.
Our client is offering a highly competitive salary for this role based on experience.
Apply for this role today contact Gaby Turner at Hire Resolve or on LinkedIn. You can also visit the Hire Resolve website: or email us your CV:
We will contact you telephonically in 3 days should you be suitable for this vacancy. If you are not suitable we will put your CV on file and contact you regarding any future vacancies that arise.
Engineering Recruitment Agency in South Africa focusing on the following disciplines:
Civil Engineering jobs in South Africa. Johannesburg Cape town Durban Eastern Cape (Gqeberha and East London)
Mechanical engineering jobs in South AfricaJohannesburg Cape town Durban Eastern Cape(Gqeberha and East London)
Electrical engineering jobs in South AfricaJohannesburg Cape town Durban Eastern Cape(Gqeberha and East London)
Construction jobs in South AfricaJohannesburg Cape town Durban Eastern Cape(Gqeberha and East London)
Quantity Surveying jobs in South AfricaJohannesburg Cape town Durban Eastern Cape (Gqeberha and East London)
Finance Recruitment Agency in South Africa focusing on the following disciplines.
Finance jobs in South Africa. Johannesburg Cape town Durban Eastern Cape(Gqeberha and East London)
Actuarial jobs in South AfricaJohannesburg Cape town Durban Eastern Cape(Gqeberha and East London)
Investment jobsin South AfricaJohannesburg Cape town Durban Eastern Cape(Gqeberha and East London)
Financial riskjobsin South AfricaJohannesburg Cape town Durban Eastern Cape(Gqeberha and East London)
Tax jobsin South AfricaJohannesburg Cape town Durban Eastern Cape(Gqeberha and East London)
Audit Jobs in South AfricaJohannesburg Cape town Durban Eastern Cape(Gqeberha and East London)
Mining Recruitment Agency in South Africa.
Mining jobs in Johannesburg Rustenburg Limpopo Northern Cape Mpumalanga and more.
Manufacturing jobs in South Africa. Johannesburg Cape Town Durban Eastern Cape(Gqeberha and East London)
Supply Chain jobs inSouth Africa. Johannesburg Cape Town Durban Eastern Cape(Gqeberha and East London)
IT jobs in South Africa. Johannesburg Cape Town Durban Eastern Cape(Gqeberha and East London)
View our jobs below.
Need staff. Email us.
Required Experience:
IC
About Company
Hire Resolve connects Job seekers to Employers. The company is a Specialist Recruitment & Staffing company with a national presence with a customer base of listed companies on the JSE and global multinationals. The company prides itself on its technical & industry knowledge. The cons ... View more