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Role Summary We are looking for a strong Full Stack Data Engineer to contribute to the design and development of scalable enterprise BI and data platform capabilities. The role requires hands-on experience across data engineering, backend services, APIs, and frontend integration to support modern analytics and platform initiatives. The engineer will work closely with platform leads, architects, frontend engineers, and business stakeholders to build reusable data and reporting solutions that support enterprise-scale analytics and operational visibility. Key Responsibilities Design and develop scalable data ingestion and transformation pipelines Build backend APIs and services supporting BI and analytics platforms Develop and integrate frontend components for dashboards and reporting interfaces Create reusable data models, reporting datasets, and platform services Collaborate with architects and engineering teams on scalable platform design Participate in CI/CD, code reviews, testing, and engineering standards adoption Support cloud-native and containerized platform initiatives Contribute to observability, monitoring, and operational improvements Requirements Strong SQL and data modeling skills Python-based data processing and scripting ETL/ELT pipeline development Understanding of data transformation and integration concepts REST API and backend service development Experience with Python / Java / Node.js (one or more) Database integration and optimization Basic knowledge of React / Angular / JavaScript Exposure to dashboard and UI integration API consumption and frontend connectivity experience Understanding of CI/CD concepts Knowledge of Docker and containerization basics Exposure to AWS and cloud platform concepts preferred Experience with BI and reporting platforms Knowledge of Superset or analytics visualization tools Understanding of distributed systems and scalable architectures Exposure to Terraform / Infrastructure as Code (IaC) Awareness of observability and monitoring concepts .
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.