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Sabenza IT & Recruitment

Senior Analytics Engineer

Sabenza IT & Recruitment City of Johannesburg Metropolitan Municipality, Gauteng, South Africa

IT Services and IT Consulting · 11-50 employees

14 h ago
data-analyst Senior (5-10 yrs) Contractor South Africa
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About the role

Lead the design and development of scalable analytics data platforms and define data modeling standards. Partner with cross-functional teams to enable self-service analytics and mentor junior analytics engineers.

What they look for

SQL Data Modeling Dbt BigQuery Snowflake Redshift Data Architecture Data Pipelines BI Tools Power BI Tableau Looker Git CI/CD Data Governance Technical Leadership

Requirements

Requires a bachelor's degree in a quantitative field and at least 6 years of experience in analytics or data engineering. Candidates must possess expert-level SQL proficiency and deep knowledge of modern data warehousing and modeling techniques.

Full description

We’re looking for a Senior Analytics Engineer to lead the design and development of scalable analytics data platforms powering BI, Advanced Analytics and AI.

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.

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