🎁 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 →
Job SummaryWe are looking for 2 experienced GCP-focused Data Engineer / Platform Engineers with strong engineering depth and hands-on experience building scalable data platforms. The role requires expertise in designing and implementing end-to-end data pipelines and control frameworks, with the ability to derive actionable insights from data. Job SummaryWe are looking for 2 experienced GCP-focused Data Engineer / Platform Engineers with strong engineering depth and hands-on experience building scalable data platforms. The role requires expertise in designing and implementing end-to-end data pipelines and control frameworks, with the ability to derive actionable insights from data. Core ResponsibilitiesDesign, build, and scale data platforms and pipelines on GCP, leveraging services such as BigQuery and related ecosystem toolsOwn and contribute to end-to-end development lifecyclefrom requirements to production deployment and optimizationDevelop robust, scalable workflows for data ingestion, transformation, and processingImplement and optimize data models, pipelines, and transformations using Python (Pandas, PySpark) and SQLBuild and operationalize analytical datasets to support reporting and downstream use casesEstablish and enhance data control frameworks using a mix of enterprise tools and custom solutionsCollaborate with cross-functional teams (business, risk, operations, technology) to translate requirements into scalable solutionsEnsure data quality, validation, and performance optimization across pipelines and workflowsSupport production-grade reporting and dashboards (Tableau / Power BI) and enable data-driven decision-makingMust-Have SkillsDeep expertise in GCP (architecture, services, and scalable system design)Strong software engineering and development experience across data platformsProven experience building large-scale data pipelines and distributed systemsStrong programming skills in Python (PySpark, Pandas) and SQLExperience with BigQuery and GCP-native data servicesSolid understanding of data modeling, optimization, and ETL/ELT frameworksHands-on experience working across the full development lifecycle (design to deployment)Good-to-Have SkillsAbility to derive analytical insights and support business decision-makingExperience with GenAI implementations or AI-driven workflowsExposure to data governance and control frameworksExperience integrating external data sources via APIsFamiliarity with web scraping .
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.