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Must-Have Skills • Strong expertise in SQL and Python (or similar programming languages). • Deep experience with Azure Data Factory (ADF) , Databricks , and Azure Synapse . • Advanced knowledge of Data Modeling and Data Warehousing (DWH) concepts • Hands-on exposure to Microsoft Fabric ecosystem. • Strong understanding of cloud data architecture and enterprise-scale solutions . Key Responsibilities • Lead and own end-to-end data platform delivery , including design, build, and optimization of scalable data solutions on Azure. (derived from pipeline & engineering responsibilities) • Architect and govern data pipelines, data models, and enterprise data platforms using Azure services. • Provide technical leadership to data engineers, reviewing code, enforcing best practices, and ensuring quality delivery. • Drive development of APIs, Azure Functions, and Python-based solutions aligned with business needs. • Oversee cloud infrastructure management and ensure optimal performance, scalability, and cost efficiency • Define and implement data governance, data quality, and security standards . • Establish and drive CI/CD, DevOps practices, and agile delivery frameworks across the data platform. • Collaborate with business and technical stakeholders , translating requirements into scalable solutions and roadmaps. • Mentor team members and build capability within the data engineering team . Experience • 8+ years of experience in data engineering, with 2–4 years in a leadership role • Proven ability to lead cross-functional teams and deliver complex data programs. Preferred Skills • Experience in building enterprise APIs and Azure Function Apps . • Exposure to framework-based development (proc frameworks or similar) . • Experience in stakeholder management, solution architecture, and delivery governance .
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.