Senior Data Engineer - Health Data Platform MVP (Snowflake)

Blue Pearl HQ

Johannesburg

Hybrid

ZAR 1,000,000 - 1,600,000

Full time

23 hours ago
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Benefits offered by this job

Hybrid work model

Job summary

Blue Pearl HQ is seeking an experienced Senior Data Engineer to join a greenfield data platform initiative in healthcare and medical scheme administration. The role is highly technical and delivery-focused, building the MVP and establishing architecture, standards and reusable patterns.

You will translate business and analytics requirements into scalable solutions in a POPIA-sensitive environment, design Snowflake models, pipelines, and Power BI layer, and contribute to DataOps and CI/CD

Qualifications

  • Experience with modern cloud data engineering on large-scale platforms.
  • Hands-on Snowflake, dbt, AWS and Fivetran implementation experience.
  • Strong SQL and data modelling skills in analytics context.

Responsibilities

  • Design and build the future-state data platform MVP with scalable pipelines.
  • Develop automated data ingestion and transformation patterns.
  • Create Snowflake data models aligned to analytics needs.
  • Build dbt transformations and data quality/testing frameworks.
  • Establish CI/CD and DataOps practices across data workflows.
  • Ensure monitoring, governance and security in a POPIA-sensitive environment.
  • Support Power BI reporting layer for the MVP and stakeholder collaboration.

Skills

Snowflake
dbt
AWS
Fivetran
Power BI
Advanced SQL
Data modelling
Modern data engineering
Automated data quality
CI/CD for analytics engineering
DataOps
Metadata management
Data integration

Job description

Blue Pearl HQ is seeking an experienced Senior Data Engineer to join a greenfield data platform initiative in healthcare and medical scheme administration. The role is highly technical and delivery-focused, building the MVP and establishing architecture, standards and reusable patterns.

You will translate business and analytics requirements into scalable solutions in a POPIA-sensitive environment, design Snowflake models, pipelines, and Power BI layer, and contribute to DataOps and CI/CD

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