Senior Data & ML Engineer

Job Mail • Bachelor's Degree • Python • SQL • ETL/ELT • Azure Data Factory • 9 hours ago
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Salary
≈ $25k – $61k per year (Estimated)
Location
In office (Cape Town)
Seniority
Senior · 7+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Sep 18, 2026. Job Mail scores D on the Alion truth index.

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Job Mail

Job Mail is a South African online job board offering a large selection of vacancies across the country and some positions abroad. Job seekers can search and apply for jobs online, upload a CV and receive job alerts, while employers and recruitment agencies can advertise positions to a broad national audience. The brand is one of the longer-established names in South African job advertising and is operated from South Africa.
jobmail.co.za • HQ: Pretoria, South Africa • Job Boards & Aggregators
A South African company that manages and operates utility-scale renewable energy power plants across South Africa is seeking a Senior Data & ML Engineer who will set the technical direction and own the architecture for the company's enterprise data platform.

Responsibilities:

  • 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.

Minimum Requirements:

  • 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.

Benefits:

Competitive salary based on experience (salary can potentially be more based on experience/skills)

IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to [email protected]

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