Senior Data Engineer I
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 a Senior Data Engineer I to develop and implement a strategy for continuous improvement of our Machine Learning Ops, collaborate with cross-functional teams, and optimize cloud costs.
Requirements
- Matric (Grade 12)
- Masters degree in Software Engineering, Data Engineering, Computer Science or related field
- 5 years of relevant work experience
- Strong Scala and Python background
- Experience with Apache Spark and/or Ray
- Knowledge of AWS, GCP, Azure, or other cloud platform
- Knowledge of current principles and frameworks for ML Ops
- Experience with ML Ops technologies such as ML Flow, DVC, Grafana, DataHub, Databricks
- Experience with machine learning technologies such as PyTorch, TensorFlow, AWS Sagemaker
- Experience with CI/CD pipelines, including Jenkins or Git Actions
- Experience with Docker containerization or Kubernetes orchestration
- Experience in improving data security and privacy, and managing and reducing cloud costs
- Knowledge of API development and machine learning deployment