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We are looking for a highly skilled GCP Data Engineer with 5+ years of experience in designing and building scalable data solutions on Google Cloud Platform. The ideal candidate will have strong expertise in BigQuery, Python, and modern data engineering practices, with a focus on performance, reliability, and cost optimization. Key Responsibilities Design, develop, and maintain scalable and robust data pipelines on GCPBuild and optimize data warehouses using BigQuery (partitioning, clustering, query tuning)Develop ETL/ELT pipelines using Python and GCP-native toolsIntegrate data from multiple sources including APIs, databases, and streaming platformsEnsure high performance and cost efficiency of data processing systemsCollaborate with data analysts, data scientists, and business stakeholdersImplement data quality checks, governance, and security standardsMonitor, debug, and optimize data workflows and pipelinesSupport batch and real-time data processing requirements Required Skills 5+ years of hands-on experience in Data EngineeringStrong experience with Google Cloud Platform (GCP)Expertise in BigQuery (data modeling, performance tuning)Strong programming skills in Python (Pandas; PySpark is a plus)Experience with Cloud Composer / Apache AirflowKnowledge of Cloud Storage, Pub/Sub, DataflowAdvanced SQL and strong data warehousing conceptsExperience building scalable ETL/ELT pipelines Preferred Skills Experience with Apache Spark / DatabricksFamiliarity with CI/CD pipelines and DevOps practicesKnowledge of data visualization tools like Tableau / LookerExperience with streaming data processingExposure to data lake / lakehouse architectures Educational Qualification Bachelors or Masters degree in Computer Science, IT, or related field Good to Have GCP Certification (e.g., Professional Data Engineer)Experience working in Agile/Scrum environments Skills: spark,python,scala,gcp .
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.