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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 Address Removed] .com Desired Skills: Data Engineer Data Engineer Data Engineer
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.