Data Engineer
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Job Location:
Stellenbosch - South Africa
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Closing date: 16/02/2026
Number of positions: 1
Recruiter name: Fiona Simone Anderson
Reference number: 67194
Fixed Term
Mediclinic Southern Africa Corporate Office Stellenbosch South Africa
MAIN PURPOSE OF JOB
The Data Engineer is responsible for designing building and supporting scalable high-quality data solutions that enable reliable analytical and reporting capabilities across the organisation. Working closely with system implementation teams business stakeholders and other data engineers the role translates data requirements into enterprise-aligned data pipelines models and semantic views ensuring data consistency quality and operational readiness across legacy and newly implemented systems.
KEY RESPONSIBILITY AREAS
Stakeholder Collaboration and Data Requirements Translation: Work collaboratively with system implementation teams business stakeholders and other data engineers to define data requirements and translate them into scalable technical data solutions.
Data Pipeline Design Development and Implementation: Design develop and implement data pipelines using SQL and Python to ingest and transform data from new systems populating the Enterprise Data Model (EDM) and/or exposing data directly for analytical and reporting solutions.
Reuse of Enterprise Data Engineering Building Blocks: Leverage established data engineering building blocks to accelerate implementation timelines.
Enterprise Data Modelling and Semantic Layer Development: Create and maintain data models and semantic views predominantly based on the Enterprise Data Model (EDM) including the use of InterSystems IRIS BI cubes where applicable to expose trusted data for analytical and reporting for newly implemented systems.
Data Consistency and Lineage Assurance: Ensure data consistency between source systems and downstream data structures and views.
Application of Enterprise Data Standards: Apply data standards to ensure consistency across legacy and new systems.
Data Quality Validation and Reconciliation: Ensure data quality through validation reconciliation and completeness checks.
Operational Readiness Monitoring and Issue Resolution: Support operational readiness by implementing monitoring error handling and issue resolution processes for data solutions.
Technical Documentation and Knowledge Transfer: Provide clear documentation to support handover operational support and future enhancements.
REQUIRED EDUCATION
ESSENTIAL EDUCATION:
- Bachelors degree in Computer Science Information Systems Data Engineering or a related technical field.
REQUIRED EXPERIENCE
ESSENTIAL MINIMUM EXPERIENCE:
- 3-5 Years experience in a data engineering role with hands-on responsibility for building and supporting data solutions
- Demonstrated experience designing and implementing data pipelines using SQL and Python including ingestion transformation and exposure of data for analytical and reporting purposes.
DESIRED EXPERIENCE:
- Experience supporting data integration and modelling for SAP-based system implementations
REQUIRED JOB SKILLS AND KNOWLEDGE
- SQL (advanced) for data extraction transformation and analytical data modelling
- Python for data processing pipeline orchestration and automation
- Data pipeline design and development
- Ability to build data models and semantic views based on enterprise standards
- Proven ability to perform data quality validation and reconciliation to ensure accurate and consistent data
- Denodo or similar data virtualisation tools
- Hands-on experience supporting data integration and modelling for SAP-based system implementations
All applicants will be considered with the understanding that preference will be given in accordance with the Employment Equity Plan of Mediclinic Southern Africa as well as internal applicants/employees that meet the minimum requirements.Please note if you are an internal employee on a fixed term contract please apply using an external candidate profile and not your employee profile
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Mediclinic is focused on providing acute-care, specialist-orientated, multi-disciplinary healthcare services. The Group takes a sustainable, long-term approach to business, putting patients at the heart of its operations and consistently delivering high-quality healthcare services.
