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Company DescriptionSutherland is seeking an experienced and highly skilled GCP Data Engineer Lead to design, develop, and manage scalable cloud-based data solutions on Google Cloud Platform (GCP). The candidate will lead the data engineering team, drive architecture decisions, and ensure best practices in data pipeline development, data warehousing, and cloud-native solutions. The ideal candidate should possess strong technical expertise in GCP services, modern data engineering practices, and team leadership capabilities. Job DescriptionKey Responsibilities Lead and mentor the data engineering team for project delivery and technical excellence.Design and implement scalable ETL/ELT data pipelines on GCP.Build and optimize data lakes and data warehouses using BigQuery.Develop batch and real-time data processing solutions.Collaborate with architects, business stakeholders, analysts, and development teams.Perform code reviews and enforce engineering best practices.Support CI/CD implementation and DevOps best practices.Provide technical guidance during project planning and estimation.Technical Skills Strong hands-on experience with Google Cloud Platform (GCP)Expertise in:BigQueryGitCloud ComposerDataflowPub/Sub knowledgeCloud Storage (GCS)Cloud FunctionsLooker knowledgeKnowledge of BI/reporting tools such as LookerStrong experience Big query and SQLGood understanding of data modeling and warehousing conceptsExperience with ETL/ELT frameworks and orchestration toolsKnowledge of Terraform or Infrastructure as Code (IaC)Knowledge with CI/CD pipelines and Git-based workflowsFamiliarity with Airflow and DevOps practices Leadership Skills Experience leading technical teams and client communicationStrong problem-solving and decision-making abilitiesAbility to manage delivery timelines and technical risksExcellent communication and stakeholder management skills QualificationsBachelor's or Masters degree in Computer Science, Information Technology, Engineering, or a highly quantitative field. Experience: 7-8 Years hands-on experience in data engineering, data warehousing, or large-scale software development. Additional InformationAll your information will be kept confidential according to EEO guidelines. .
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.