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We are seeking a skilled and experienced GCP Data Engineer to be part of Material Logistics IT team. This individual will design, develop, and maintain our data pipelines and data warehousing solutions on Google Cloud Platform for Ford's ambitious command center and logistics service layer Initiatives. You will be responsible for ensuring the efficient and reliable processing and storage of large datasets and architecting, building, and maintaining our cloud infrastructure and ensuring its high availability and scalability. Qualifications: Bachelor s degree in computer science or a related field. 8+ years of experience in software development, with at least 5 years on Google cloud technologies. Expertise in Data ingestion and storage, Data Transformation and processing, Data analysis and visualization, Performance optimization and cost management, and a deep understanding, designing, data modeling, data integration, data warehousing and managing large-scale data storage system with below services: Big Query, Cloud Run, Cloud Function, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage and Data Studio, Dataflow, Dataproc, Cloud Build etc., Strong experience with infrastructure-as-code (IaC) tools like Terraform or Cloud Deployment Manager and Expertise in Tekton pipeline. Deep understanding of GCP services, including Compute Engine, Kubernetes Engine (GKE), Cloud Storage, Cloud SQL, and Cloud Networking. Extensive experience with DevOps practices and tools. Expertise in Data encryption, Identity and Access Management and Cloud Security. Key Responsibilities: Work effectively with fellow software engineers, product owners and other technical experts to deliver curated data products. Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solution. Design, develop, and deploy data pipelines using Dataflow, Dataproc, and other relevant GCP services. Build and maintain data warehouses using BigQuery. Implement data quality and validation processes. Develop and maintain data schemas and models. Collaborate with software engineers and other stakeholders to meet business requirements. Manage and monitor GCP infrastructure using tools like Cloud Monitoring and Cloud Logging. Implement security best practices for cloud-based applications. Mentor and guide junior developers.
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.