Client Relations Liaison

Carlysle Human Capital; Johannesburg; On-site; ZAR 600 000 - 1 000 000; Full time

Job summary

An established industry player is seeking a Manager for Data and Analytics to lead innovative data engineering efforts. This role involves designing scalable data pipelines and managing analytics operations to enhance decision-making capabilities. You will spearhead the development of feature stores that support AI/ML initiatives and ensure alignment with analytics platforms. Your leadership will foster collaboration between data science and business intelligence teams, driving the organization towards becoming a leader in advanced analytics. If you have a passion for data and a proven track record in analytics engineering, this opportunity is tailor-made for you.

Qualifications

• 5+ years in data engineering or analytics engineering, with managerial experience.
• Proficient in SQL and complex analytical requirements.

Responsibilities

• Design and manage scalable data pipelines for data-driven decision-making.
• Lead the creation of robust feature stores for AI/ML model development.

Skills

Data Engineering

Analytics Engineering

SQL

Stakeholder Management

Data Visualization

Tools

Apache Airflow

AWS Glue

PowerBI

Job description

Job title : Manager : Data and Analytics (Analytics Engineering)

Job Location : Gauteng, Johannesburg

Deadline : April 10, 2025

About the role :

• As the Manager : Analytics Engineering at Capitec, you will play a pivotal role in designing and managing scalable data pipelines and ensuring efficient analytics operations to empower data-driven decision-making. Your focus will be on driving innovation in data integration and feature store development, enabling seamless collaboration between data science and BI teams.
• In this role, you will lead the creation of robust feature stores to support AI / ML model development and semantic models for enhanced analytics and reporting. You’ll ensure the alignment of data engineering solutions with analytics platforms while upholding best practices in data engineering and governance. By fostering collaboration and implementing cutting-edge solutions, you will contribute to Capitec's growth as a leader in advanced analytics and data-driven insights.

Our ideal candidate has :

• Over 5 years in data engineering or analytics engineering, including 2 years as a manager or team lead within an analytical team.
• Proficient in SQL and delivering complex analytical requirements.
• Experience managing senior and executive level stakeholders and influencing decision making at these levels.
• Utilisation of data pipelining tools such as Apache Airflow and AWS Glue.
• Data visualisation experience with tools such as PowerBI.