Data Ops/ ML Engineer x 2
Boardroom AppointmentsCape Town, Western Cape, South Africa
Posted January 5, 2026
Full Time
About the Company
Boardroom Appointments, founded in 1989, is a global talent solutions provider delivering recruitment, contract staffing, project staffing, temporary employment, training, HR consultancy, and expatriate mobility services across Africa, EMEA, the Americas, and Europe. Leveraging a deep industry focus that spans FMCG, finance, manufacturing, oil & gas, healthcare, logistics, IT, renewable energy, retail, agriculture, government, and call‑center services, the firm custom‑builds solutions that match each client’s unique talent needs. With a worldwide candidate database and a team of seasoned recruitment and HR professionals, Boardroom Appointments offers end‑to‑end services—from executive search and people analytics to payroll outsourcing and workforce management—ensuring seamless, high‑quality placements that let clients concentrate on their core business. Their distinctive value lies in a partnership model that blends industry expertise, data‑driven insights, and a culture of passion and professionalism to deliver flawless, long‑lasting results.
Job Description
We are seeking 2 experienced Data Ops/ML Engineers to join our team. The successful candidates will undertake data processing, support data analysis, design and implement scalable data pipelines, and develop machine learning models.
Requirements
- 5+ years of data engineering experience
- 5+ years of Machine learning/ Artificial Intelligence and Statistical algorithm development
- 3+ years of experience with data warehouse technical architectures, ETL/ELT, and reporting/analytics tools
- Deep and Extensive AWS knowledge and skills: Glue, S3, Lambda, IAM, Cloudformation
- DBA ability and knowledge across at least 2 platforms
- Experience with Python programming language
- Experience with designing and implementing Cloud (AWS) solutions
- Dev/OPS architecture, implementation and operation
- Knowledge of Engineering and Operational Excellence using standard methodologies
- Knowledge of SAFe/Scrum/Kanban methodologies
- Knowledge and understanding of business process management lifecycle
- Good problem-solving skills
- Good programming, performance tuning and troubleshooting skills