🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Data Engineer Role Profile The Data Engineer’s role entails building and supporting data pipelines of which must be scalable, repeatable and secure. This role functions as a core member of an agile team whereby these professionals are responsible for the infrastructure that provides insights from raw data, handling and integrating diverse sources of data seamlessly. They enable solutions, by handling large volumes of data in batch and real-time by leveraging emerging technologies from both the big data and cloud spaces. Additional responsibilities include developing proof of concepts and implements complex big data solutions with a focus on collecting, parsing, managing, analysing and visualising large datasets. They know how to apply technologies to solve the problems of working with large volumes of data in diverse formats to deliver innovative solutions. Data Engineering is a technical job that requires substantial expertise in a broad range of software development and programming fields. These professionals have a knowledge of data analysis, end user requirements and business requirements analysis to develop a clear understanding of the business need and to incorporate these needs into a technical solution. They have a solid understanding of physical database design and the systems development lifecycle. Responsibilities Architects Data analytics framework Translates complex functional and technical requirements into detailed architecture, design, and high performing software Leads Data and batch/real-time analytical solutions leveraging transformational technologies Works on multiple projects as a technical lead driving user story analysis and elaboration, design and development of software applications, testing, and builds automation tools Development and Operations Database Development and Operations Policies, Standards and Procedures Business Continuity & Disaster Recovery Research and Evaluation Creating data feeds from on-premise to AWS Cloud Support data feeds in production on break fix basis Creating data marts using Talend or similar ETL development tool Manipulating data using python Processing data using the Hadoop paradigm particularly using EMR, AWS’s distribution of Hadoop Develop for Big Data and Business Intelligence including automated testing and deployment Requisite Experience, Education, Knowledge and/ or Skills Bachelor’s Degree in Computer Science, Computer Engineering, or equivalent AWS Certification Extensive knowledge in different programming or scripting languages Expert knowledge of data modelling and understanding of different data structures and their benefits and limitations under particular use cases Capability to architect highly scalable distributed systems, using different open source tools 5+ years Data engineering or software engineering experience 2+ years Big Data experience 2+ years’ experience with Extract Transform and Load (ETL) processes 2+ years AWS experience 5 years demonstrated experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures Big Data batch and streaming tools Talend AWS: EMR, EC2, S3 Python PySpark or Spark
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.