Data Engineer

Simplify HR • Professional Services • Human Resources • Bachelor's Degree • Python • SQL • C# • ETL/ELT • Azure Data Factory • 2 months ago
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Salary
$25k per year
Location
In office (South Africa)
Seniority
Junior · 2+ years exp

First seen by Alion on Aug 18, 2026. Simplify HR scores B on the Alion truth index.

Overview
Company
Impact
Profile match

Simplify HR

Simplify HR is a South African recruitment software company that provides a cloud-based applicant tracking system for employers. Its platform covers job posting and multi-channel job distribution, candidate screening and talent pools, interview scheduling and digital onboarding, and it also hosts career pages for client companies. Its clients include businesses in retail, hospitality, finance and technology across South Africa and other African markets. The company is headquartered in Cape Town, South Africa.
simplify.hr • HQ: Cape Town, South Africa • HR & Payroll Software • Recruiting Software & ATS • 1001-5000 employees • Est. 2000
Tech stack of Simplify HR
A diversified financial services and wealth management company in South Africa that provides professional financial advice, investment products, and insurance solutions, is seeking a Data Engineer who will support a multi-tenant financial services data platform by building and maintaining reliable, auditable, and secure data pipelines in collaboration with cross-functional teams.

Responsibilities:

  • Pipeline & API Engineering: Build, maintain, and monitor daily/incremental ETL pipelines and Data Platform APIs to ingest, process, and expose data from APIs, databases, and event sources.

  • Multi-Tenant Architecture: Enforce tenant-level data isolation using schemas, partitions, RBAC, and standardized configuration/naming conventions.

  • Data Modeling & Analytics: Develop and maintain analytics and reporting models aligned with shared data architecture and business requirements.

  • Client Onboarding & Support: Assist with client onboarding by validating source data, testing pipeline outputs, and troubleshooting failures or data quality issues.

  • Security, Compliance & Audit: Ensure strict adherence to regulatory standards (e.g., POPIA), applying least-privilege access, encryption, data masking, and audit retention guidelines for PII/financial data.

Minimum Requirements:

  • Required: Degree in Data Science, Computer Science, IT, or equivalent.

  • Required: Minimum 2 years of experience in a Data Engineering or similar technical role.

  • Advantageous: Cloud Data Certifications; prior exposure to financial services, fintech, or regulated environments.

  • Core Languages & Querying: Strong proficiency in Python, SQL (transformations, aggregation, integration), and C#.

  • Data & Cloud Platforms: Experience with relational/non-relational databases, data warehousing concepts, and cloud-hosted data architectures.

  • Engineering Best Practices: Practical knowledge of CI/CD, version control (Git), and data modeling.

  • Tech Stack

    • Cloud & Storage: Azure Data Lake Gen2, Blob Storage

    • Databases: Azure SQL, PostgreSQL, Azure Synapse Analytics

    • Integration & Compute: Azure Data Factory, Azure Web Apps

    • Security & DevOps: Azure DevOps, Azure Entra (RBAC), Key Vault, Git, VS Code, Visual Studio

Benefits:

Competitive salary based on experience (salary can potentially be more based on experience/skills)

IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to [email protected]

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