AWS Senior Data Engineer

Salt · SQL · 12 days ago

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Location

In office (Johannesburg)

Seniority

Senior · 8+ years exp

Visa

Sponsors visas in United Kingdom; no register of this country names it

Employment

Full-Time

First seen by Alion on Oct 26, 2026. Salt scores A on the Alion truth index.

Overview

Company

Impact

Profile match

Salt

Founded in 2009, Salt is a global digital talent, recruitment, and workforce consultancy specializing in technology, creative, marketing, and sales staffing. Headquartered in London, United Kingdom - with an international network of offices spanning North America, Europe, Asia-Pacific, and Latin America - the agency serves fast-scaling startups, mid-market companies, and multinational enterprises. Through its permanent and contract recruitment models, recruitment process outsourcing (RPO), nearshore/offshore talent delivery (Salt: Labs), and strategic HR advisory services, it enables organizations to build, scale, and manage high-performing teams across AI, technology, and digital transformation initiatives.

welovesalt.com · HQ: London, United Kingdom · IT Staffing & Staff Augmentation · Recruiting & Staffing · 201-500 employees · Est. 2009

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.

Key Success Criteria

The resources shall be deemed successful when:

Business and data requirements are documented and approved.
User stories and acceptance criteria are production-ready.
Target-state data models are documented and validated.
Data lineage and ownership artefacts are completed.
Critical data elements are identified and catalogued.
Cross-stream dependencies are analysed and managed.
Data quality issues are identified with remediation recommendations.
Architecture and implementation decisions are supported through evidence-based analysis.
Programme delivery milestones are supported without delays attributable to analysis activities.

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