Senior Data Engineer – Healthcare Data Platform

Blue Pearl PTY; Johannesburg; Hybrid; ZAR 900,000 - 1,300,000; Full time

Job summary

Blue Pearl PTY is seeking a Senior Data Engineer to lead a greenfield healthcare data platform project in Johannesburg. The role involves end-to-end delivery across discovery, assessment and implementation in a hybrid work model.

You will work with a legacy estate (Oracle, SAP BO, SAS) while migrating to cloud platforms (Snowflake, AWS) and enabling self-service analytics with Power BI. The role emphasizes governance, metadata, and AI/LLM driven data discovery.

Qualifications

• Strong hands-on experience with Oracle Database, SQL development and optimisation.
• Experience with SAP BusinessObjects (BO) and SAS.
• Proficiency in Power BI and self-service analytics.
• Knowledge of data profiling, quality assessment and metadata management.

Responsibilities

• Discovery & Assessment: baseline the current reporting landscape and analyse complex environments.
• Design and implement robust ETL/data engineering solutions to improve efficiency.
• Develop automated validation, reconciliation and QA controls; establish audit trails.
• Self-Service Analytics: enable governed Power BI assets and centralised metadata catalogue.
• Stakeholder Management: engage with business and technical stakeholders and drive delivery.
• Performance & Outcomes: define KPIs for reduced manual effort and increased capacity.

Skills

Oracle Database

Advanced SQL development

SAP BusinessObjects

SAS

Power BI

Data profiling

ETL and data engineering

Self-service analytics

Snowflake

AWS

Metadata management

Generative AI / LLMs

Job description

Senior Data Engineer – Healthcare Data Platform

Johannesburg, South Africa | Posted on 09/02/2026

We are seeking a Senior Data Engineer to join a greenfield/future-state data platform initiative within the healthcare and medical scheme administration environment.

The successful candidate will be responsible for owning delivery end-to-end, from discovery and assessment through to implementation. This is a highly autonomous role requiring strong technical depth across both legacy data technologies and modern cloud data platforms .

The environment includes POPIA-sensitive health data , with a legacy estate incorporating Oracle, SAP BusinessObjects and SAS, while the organization transitions towards a modern cloud-based data environment.

Contract & Location

• Contract: Up to 18 months, structured in 6-month phases
  
• Start Date: 1 October 2026
  
• Work Model: Hybrid
  
• Location: Waterfall / Midrand / Johannesburg
  

Requirements

The ideal candidate should have strong hands-on experience with:

• Oracle Database
  
• Advanced SQL development and optimisation
  
• SAP BusinessObjects (BO)
  
• SAS
  
• Power BI
  
• Data profiling and quality assessment
  
• ETL and data engineering
  
• Self-service analytics
  
• Snowflake
  
• AWS
  
• Metadata management and data cataloguing
  
• Generative AI / LLM applications
  

Role Summary

The Senior Data Engineer will operate as a self-sufficient technical lead , independently driving delivery and managing the engagement from discovery through implementation.

The primary objective is to reduce operational workload across the client's reporting estate through:

• Improved governance and metadata management
  

Success will be measured by business outcomes, operational efficiency and released capacity , rather than simply utilisation.

Key Responsibilities

Discovery & Assessment

• Assess and baseline the current reporting landscape.
  
• Analyse complex and potentially undocumented data environments.
  
• Identify manual, repetitive and inefficient processes.
  
• Quantify effort and operational workload.
  
• Prioritise initiatives based on measurable effort reduction and business value.
  
• Review the existing reporting estate.
  
• Identify opportunities to retire, consolidate and standardise reports.
  
• Establish consistent metric and data definitions.
  
• Reduce duplication and unnecessary reporting effort.
  
• Design and implement robust ETL/data engineering solutions.
  
• Automate manual and repetitive processes.
  
• Develop automated validation, reconciliation and quality assurance controls.
  
• Implement appropriate audit trails and controls.
  
• Improve data reliability and operational efficiency.
  

Self-Service Analytics

• Develop reusable datasets and data products.
  
• Enable business users through governed Power BI assets.
  
• Promote appropriate self-service analytics while maintaining data governance.
  
• Establish and maintain a centralised reporting/data catalogue.
  
• Define metadata standards.
  
• Improve discoverability and understanding of reporting assets.
  
• Explore appropriate use of Generative AI/LLMs for natural-language data and report discovery .
  

Stakeholder Management

• Engage directly with business and technical stakeholders.
  
• Shape requirements and scope.
  
• Drive technical and delivery decisions.
  
• Communicate progress, risks and outcomes effectively.
  
• Escalate only matters that genuinely require additional intervention.
  

Performance & Outcomes

• Define and track KPIs demonstrating reduced manual effort.
  
• Measure released capacity and operational improvements.
  
• Take ownership of planning, prioritisation and delivery across assigned workstreams.
  

Candidate Profile

The successful candidate will be:

• A highly experienced Senior Data Engineer with strong technical depth.
  
• Comfortable working independently with minimal supervision.
  
• Able to take ownership of an engagement from discovery through delivery.
  
• Experienced working within complex legacy data environments.
  
• Strong in Oracle, SQL, BusinessObjects and SAS .
  
• Comfortable working with modern cloud technologies such as AWS and Snowflake .
  
• Strong in data modelling, ETL, data quality and automation.
  
• Experienced with Power BI and self-service analytics.
  
• Able to navigate undocumented environments and quickly understand complex data estates.
  
• Commercially minded, with the ability to identify opportunities that remove operational effort.
  
• Confident engaging senior business and technical stakeholders.
  
• Comfortable working within a regulated healthcare and POPIA-sensitive environment .
  

Ideal Candidate Mindset

This role is suited to someone who does not need to be directed through each task.

The successful candidate should be able to walk into a complex environment, understand the current state, identify the biggest opportunities, develop a delivery plan and execute against measurable outcomes .

The focus is not simply on building data solutions, but on using data engineering, automation and modern analytics to simplify the reporting estate, reduce manual work and create sustainable business capacity .