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Our client is looking for an experienced Senior Data Engineer to join the Channel & Data Insights team of a leading organization in South Africa. The successful candidate will be responsible for designing, building and optimizing scalable data platforms and pipelines that support critical business and channel insights. Working primarily across the Microsoft Azure data estate, including Microsoft Fabric, you will develop robust ETL/ELT solutions, modern data models and reliable data products that enable data-driven decision-making across the organization. Key Responsibilities Design, develop and maintain scalable data platforms and data pipelines using Microsoft Fabric, Azure Data Factory, Databricks, ADLS Gen2, Azure Synapse Analytics, Event Hubs and Stream Analytics. Build and optimise solutions across Fabric Lakehouse, Warehouse, Data Pipelines, notebooks and semantic models. Develop robust ETL/ELT processes and implement modern data modelling approaches, including Kimball and/or Data Vault 2.0. Develop and optimize data transformations and processing using T-SQL, Python and Apache Spark. Build and maintain CI/CD pipelines and Infrastructure-as-Code solutions using Bicep, ARM, PowerShell/CLI and Azure DevOps. Apply data governance, security, quality and lineage practices using tools such as Databricks Unity Catalog and/or Microsoft Purview. Work closely with data analysts, product owners and business stakeholders to translate business requirements into effective technical solutions. Monitor, troubleshoot and optimize platform performance, reliability and cost efficiency. Contribute to data engineering standards, documentation, best practices and knowledge sharing within an Agile environment. Desired Skills: 7-8 years' hands-on experience in platform and data engineering at intermediate to senior level. Strong experience across the Azure data platform particularly: Microsoft Fabric Azure Data Factory Databricks ADLS Gen2 Azure Synapse Analytics Event Hubs Stream Analytics Strong experience in ETL/ELT data warehousing and data modelling including Kimball and/or Data Vault 2.0. Strong proficiency in T-SQL Python and Apache Spark. Practical experience with Azure DevOps CI/CD and Infrastructure-as-Code including Bicep ARM and PowerShell/CLI. Exposure to Databricks Unity Catalog and/or Microsoft Purview. Experience working in Agile environments. Strong communication problem-solving and stakeholder engagement skills. Desired Work Experience: 5 to 10 years
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.