Manager : Analytics Engineering

Weplace; Johannesburg; On-site; ZAR 800 000 - 1 000 000; Full time

Job summary

A leading analytics firm in Johannesburg seeks a Manager: Analytics Engineering to lead the development of scalable data pipelines and oversee the creation of feature stores for AI/ML. This role requires strong SQL skills and experience with cloud-based data engineering. The ideal candidate has over 5 years in the field and a Bachelor's in Computer Science or a related domain.

Qualifications

• 5+ years of experience in data engineering or analytics engineering.
• Proficient in data pipeline tools like Apache Airflow and AWS Glue.
• Strong knowledge of SQL and data modelling.
• Experience with cloud-based data engineering.

Responsibilities

• Lead the development and maintenance of scalable data pipelines.
• Oversee the creation of feature stores for AI / ML model development.
• Collaborate with data science and BI teams for seamless operations.
• Implement best practices in data engineering and governance.

Skills

Data pipeline tools (e.g., Apache Airflow, AWS Glue)

SQL

Data modelling

Education

Bachelor's degree in Computer Science, Data Engineering, or related field

Tools

AWS

Azure

GCP

Job description

Role Purpose :

The Manager : Analytics Engineering is responsible for designing and managing data pipelines, ensuring scalable and efficient analytics operations. This role will also oversee the development of feature stores and data integration.

Key Responsibilities :

• Lead the development and maintenance of scalable data pipelines.
• Oversee the creation of feature stores for AI / ML model development.
• Oversee the creation of semantic models for analytics and reporting support / self-service - Ensure integration of data engineering solutions with analytics platforms.
• Collaborate with data science and BI teams to ensure seamless operations.
• Implement best practices in data engineering and governance.

Requirements :

• Bachelors degree in Computer Science, Data Engineering, or related field.
• 5+ years of experience in data engineering or analytics engineering.
• Proficiency in data pipeline tools (e.g., Apache Airflow, AWS Glue).
• Strong knowledge of SQL and data modelling.
• Experience with cloud-based data engineering (AWS, Azure, GCP).

Should you not receive a response from us within one week of your application, your application has unfortunately not been successful.