Senior Data & ML Engineer
- Location
- Cape Town, Western Cape
- Contract
- Permanent
- Minimum qualification
- Bachelor's degree
- Closing date
First listed . Last checked at source .
In brief
Overview This role is for a Senior Data & ML Engineer within a South African company that manages and operates utility-scale renewable energy power plants across South Africa. The primary responsibility of this position is to set the technical direction and own the architecture for the company's enterprise data platform. This position is being recruited by Hire Resolve, a South African recruitment company specializing in placing professionals across various sectors, including IT. What you will do * Design robust ingestion, orchestration, and integration architectures across ERP, OT/IoT, CAMs, and SharePoint systems, optimizing for scale, cost, resilience, and security. * Own the enterprise data model and SSOT design to ensure consistency across business domains. * Establish and enforce core engineering standards (testing, CI/CD pipelines, release, and rollback protocols) via rigorous code reviews. * Architect MLOps frameworks and ML data pipelines, defining standard patterns for algorithm development and library usage. * Design integration patterns to power ML models using operational (AVEVA PI) and asset management data. * Define and govern standards for the responsible adoption of AI and Generative AI tools. * Own the technical architecture for AVEVA PI and CAMs, ensuring high availability, scaling, and seamless upgrade planning. * Set fleetwide Asset Framework (AF) modeling, calculation, and mapping standards, driving analytics-led alerting and cross-site data integrity. * Resolve complex, cross-system architectural challenges and lead major incident reviews. * Enforce enterprise data governance, security, and model risk standards. * Align cross-divisional stakeholders and leadership on strategic technical decisions. * Mentor engineers, cultivate a culture of technical excellence, and drive team capability in emerging technologies. Requirements (from the original advert) * **Education:** Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field. * **Experience:** 7–10 years in data engineering or data platform development (minimum 6 years with demonstrated platform ownership at a Senior/Lead level). * **Technical Mastery:** Advanced SQL and Python skills, hands-on experience with ETL/ELT, enterprise data modeling, and scalable MLOps. * **Track Record:** Proven experience leading platform architecture, enforcing engineering standards, and managing complex production environments. * **Data Engineering & Architecture:** Expert-level SQL, ETL/ELT pipelines, data modeling, and platform-wide architectural design. * **ML & AI Infrastructure:** Advanced capability in MLOps, production ML integration, and AI readiness. * **OT & Asset Systems:** In-depth technical mastery of AVEVA PI, Asset Framework (AF) modeling, and CAMs integration. * **Reliability & Governance:** Strong focus on operational discipline, system availability, and risk management. * **Leadership:** Proven ability to influence executive leadership, align cross-functional teams, and mentor junior engineers. * **Advantageous:** * Enterprise-level AVEVA PI architecture (HA, upgrades, AF modeling) in industrial/energy sectors. * Production ML frameworks (e.g., PyTorch, TensorFlow) and orchestration tools (e.g., Azure Data Factory, Airflow, Prefect). * Cloud data lake/big data architectures and formal AI/ML governance frameworks. Who should apply The ideal candidate is a Senior Data & ML Engineer with 7-10 years of experience in data engineering or data platform development, including a minimum of 6 years in a Senior/Lead role demonstrating platform ownership. Applicants must hold a Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field. Essential skills include advanced SQL and Python, expertise in ETL/ELT, enterprise data modeling, and scalable MLOps, alongside a proven track record in leading platform architecture, enforcing engineering standards, and managing complex production environments. In-depth technical mastery of AVEVA PI, Asset Framework (AF) modeling, and CAMs integration is required, with a strong focus on operational discipline, system availability, and risk management. Furthermore, the candidate should demonstrate proven leadership ability to influence executive leadership, align cross-functional teams, and mentor junior engineers. Deadline Not specified Reference Original posting: https://www.jobmail.co.za/jobs/it-computer/other-it-computer/cape-town/senior-data-ml-engineer-id-7573652 Source: jobmail
Summary drafted with AI assistance from the original advert. The advert itself is the authority — how we use AI.
At a glance
- Python
- SQL
- Azure
- Agile / Scrum
Extracted automatically from the advert; confirm requirements on the original listing.
Job description
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