Senior Analytics Engineer
Summary
Lead analytics data modelling and architecture, build scalable data pipelines, and enable self-service BI/AI with SQL, dbt, and modern data warehouses.
Johannesburg, South Africa
What You’ll Do
- Lead scalable analytics data modelling and architecture.
- Define data modelling standards, governance and best practices.
- Build reliable, high-performing data models and pipelines.
- Drive data quality, testing, observability and performance.
- Enable self-service analytics and advanced BI/AI use cases.
- Partner with Data Scientists, BI teams and business stakeholders.
- Mentor Analytics Engineers and provide technical leadership
Requirements
Qualifications
- Matric Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, Engineering, or related field.
- 6+ years of experience in analytics engineering, data engineering, or advanced analytics roles.
- Expert-level proficiency in SQL and extensive experience designing scalable analytical data models.
- Strong experience with data transformation tools (e.g., dbt) and modern data warehouses (e.g., BigQuery, Snowflake, Redshift).
- Deep understanding of data modelling concepts (star schema, dimensional modelling, data vault, fact/dimension design).
- Proven experience working with BI tools (Power BI, Tableau, Looker etc.) and enabling self-service analytics.
- Strong experience with version control systems (e.g., Git) and CI/CD practices in data workflows.
Advantageous
- Postgraduate qualification in a related field.
- Experience in retail, healthcare, or financial services data environments.
- Strong experience with cloud platforms (AWS, Azure, GCP).
- Exposure to machine learning pipelines and feature engineering.
- Experience mentoring or leading analytics/data teams.