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Salary
≈ $39k – $72k per year (Estimated)
Location
In office (Johannesburg)
Seniority
Staff · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 31, 2026. Job Mail scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Job Mail is a South African online job board offering a large selection of vacancies across the country and some positions abroad. Job seekers can search and apply for jobs online, upload a CV and receive job alerts, while employers and recruitment agencies can advertise positions to a broad national audience. The brand is one of the longer-established names in South African job advertising and is operated from South Africa.

Blue Pearl is seeking 2 experienced Data Engineers to join a high-profile Financial Services programme. The successful candidates will be responsible for analysing, documenting, and managing complex business and data requirements while supporting enterprise data initiatives. They will work closely with business stakeholders, technology teams, architects, and delivery teams to ensure data requirements are accurately translated into solutions that support business objectives.

The role requires strong data analysis, business analysis, and stakeholder engagement capabilities within an Agile delivery environment.

Key Responsibilities

  • Elicit, analyse, document, and manage business and data requirements.
  • Conduct feature analysis and develop detailed user stories.
  • Define acceptance criteria and support backlog refinement activities.
  • Facilitate workshops and stakeholder engagement sessions.
  • Perform process analysis and identify optimisation opportunities.
  • Conduct data analysis, data profiling, and data mapping activities.
  • Develop and validate target-state data models.
  • Support data governance, data lineage, and metadata management initiatives.
  • Identify and assess data quality issues and recommend remediation actions.
  • Collaborate with architects and development teams on solution design.
  • Support testing activities and validate delivered solutions against requirements.
  • Manage cross-functional dependencies across multiple workstreams.
  • Support Agile delivery processes and programme milestones.

Requirements

Minimum Requirements

Qualifications

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

Experience

  • Minimum 8 years of professional experience.
  • Minimum 5 years' experience within the Financial Services sector.
  • Minimum 5 years' experience in Business Analysis and/or Feature Analysis.
  • Minimum 5 years' experience in Data Analysis.
  • Experience working within Agile delivery environments.
  • Experience engaging and influencing 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 Tools
  • Reporting and Analytics Concepts
  • API and Systems Integration
  • Jira and Agile Tooling

Highly Advantageous Experience

Candidates with experience in the following areas will receive preference:

  • Foreign Exchange (FX)
  • Capital Markets
  • Treasury Systems
  • Front Office Trading Environments
  • Regulatory Reporting
  • AWS Cloud Data Platforms
  • Data Migration Programmes
  • Enterprise Data Management Frameworks
  • Financial Product Data Models
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