Senior Data Engineer

Mediro ICT Recruitment · SQL · 11 days ago
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Location
In office (Johannesburg)
Seniority
Senior
Employment
Full-Time

First seen by Alion on Oct 29, 2026.

Overview
Company
Impact
Profile match

Mediro ICT Recruitment

Mediro ICT integrates, secures, and optimises the technology ecosystems that modern enterprises depend on.
mediro-ict.co.za · HQ: Richards Bay, South Africa · IT Staffing & Staff Augmentation · Est. 2009
Introduction

Our client in Rosebank is looking for a Senior Data Engineer to join their team.

Job Description

Qualifications:

  • Bachelor's Degree in Information Technology, Computer Science, Information Systems, Data Management, Engineering, Mathematics or related discipline.
  • AWS Cloud Practitioner Certification as a minimum.
  • Relevant Business Analysis, Agile and Data certifications will be advantageous.

 

Experience

Mandatory:

  • Minimum 8 years professional experience.
  • Minimum 5 years experience within Financial Services.
  • Minimum 5 years Business Analysis or Feature Analysis experience.
  • Minimum 5 years Data Analysis experience.
  • Experience working within Agile delivery environments.
  • Experience engaging senior business and technology stakeholders.

 

Functional Skills:

  • Requirements Elicitation and Management.
  • Business Analysis.
  • Feature Analysis.
  • User Story Development.
  • Acceptance Criteria Definition.
  • Workshop Facilitation.
  • Process Analysis.
  • Data Analysis.
  • Data Mapping.
  • Data Modelling.
  • Data Governance.
  • Data Lineage.
  • Data Quality Analysis.
  • Stakeholder Management.
  • Backlog Management.
  • Agile Delivery Support.
  • Testing Support and Validation.

 

Technical Skills:

  • SQL.
  • Data Profiling.
  • Data Warehousing Concepts.
  • Data Architecture Concepts.
  • Metadata Management.
  • Data Lineage Tooling.
  • Reporting and Analytics Concepts.
  • API and System Integration Understanding.
  • Jira and Agile Tooling.

 

Highly Advantageous Experience:

  • Foreign Exchange (FX) domain knowledge.
  • Capital Markets experience.
  • Treasury systems exposure.
  • Front Office Trading environments.
  • Regulatory Reporting.
  • AWS Cloud Data Platforms.
  • Data Migration Programmes.
  • Enterprise Data Management frameworks.
  • Financial Product Data Models.
Minimum Requirements

Qualifications:

  • Bachelor's Degree in Information Technology, Computer Science, Information Systems, Data Management, Engineering, Mathematics or related discipline.
  • AWS Cloud Practitioner Certification as a minimum.
  • Relevant Business Analysis, Agile and Data certifications will be advantageous.

 

Experience

Mandatory:

  • Minimum 8 years professional experience.
  • Minimum 5 years experience within Financial Services.
  • Minimum 5 years Business Analysis or Feature Analysis experience.
  • Minimum 5 years Data Analysis experience.
  • Experience working within Agile delivery environments.
  • Experience engaging senior business and technology stakeholders.

 

Functional Skills:

  • Requirements Elicitation and Management.
  • Business Analysis.
  • Feature Analysis.
  • User Story Development.
  • Acceptance Criteria Definition.
  • Workshop Facilitation.
  • Process Analysis.
  • Data Analysis.
  • Data Mapping.
  • Data Modelling.
  • Data Governance.
  • Data Lineage.
  • Data Quality Analysis.
  • Stakeholder Management.
  • Backlog Management.
  • Agile Delivery Support.
  • Testing Support and Validation.

 

Technical Skills:

  • SQL.
  • Data Profiling.
  • Data Warehousing Concepts.
  • Data Architecture Concepts.
  • Metadata Management.
  • Data Lineage Tooling.
  • Reporting and Analytics Concepts.
  • API and System Integration Understanding.
  • Jira and Agile Tooling.

 

Highly Advantageous Experience:

  • Foreign Exchange (FX) domain knowledge.
  • Capital Markets experience.
  • Treasury systems exposure.
  • Front Office Trading environments.
  • Regulatory Reporting.
  • AWS Cloud Data Platforms.
  • Data Migration Programmes.
  • Enterprise Data Management frameworks.
  • Financial Product Data Models.
Package & Remuneration

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