Senior ML Engineer - Data Architecture & Insights

Momentum; Bellville; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

Momentum is seeking an experienced data professional to design and deliver data-driven solutions using statistical models, ML, data mining and visualization. You will design and maintain enterprise data frameworks, interpret business requirements into technical specs, and collaborate across stakeholders to maximise data value.

The role requires senior experience in data architecture, data science or analytics, with strong SQL/Oracle skills and a track record of securing large data platforms.

Qualifications

• 5-8 years of experience in data architecture, data science, or data analytics roles.
• Experience with databases (Oracle, SQL Server) and SQL.
• Proficient in Python and cloud-based data platforms.
• Experience building large data platforms and implementing security controls.
• Ability to align data work with business strategy and outcomes.

Responsibilities

• Identify and develop predictive and prescriptive models to enable data-driven decision making.
• Explore data structures across databases to support analysis and monitoring.
• Extract insights to improve business processes and outcomes.
• Collaborate with stakeholders to validate designs and ensure requirements.
• Ensure solutions meet business specs and deliver financial benefits.
• Model business scenarios and translate results into actionable insights.
• Lead discovery with stakeholders to address opportunities with data-driven approaches.
• Support adoption of models and monitor performance post-embedding.

Skills

Python

SQL

Data modelling

Machine learning

Cloud platforms

Data analysis

Stakeholder engagement

Education

Matric / Grade 12

Degree in Computer Sciences / Statistics / IT or related field

Tools

Oracle

SQL Server

Job description

Momentum is seeking an experienced data professional to design and deliver data-driven solutions using statistical models, ML, data mining and visualization. You will design and maintain enterprise data frameworks, interpret business requirements into technical specs, and collaborate across stakeholders to maximise data value.

The role requires senior experience in data architecture, data science or analytics, with strong SQL/Oracle skills and a track record of securing large data platforms.