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At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better. Job Description We are seeking an experienced and dedicated GCP Data Engineer to join our team. You will be responsible for designing, building, and optimizing robust, scalable, and highly available data pipelines and ETL/ELT solutions exclusively within the Google Cloud Platform (GCP). This role requires a strong focus on utilizing GCP's native data services to ensure data quality, automation, and performance optimization across the data lifecycle. Design, build, and maintain scalable data pipelines and ETL/ELT processes using core GCP data services such as Cloud Dataflow (Apache Beam), Cloud Dataproc, and BigQuery. Develop and optimize data infrastructure on GCP to ensure reliable, high-speed data ingestion (e.g., using Cloud Pub/Sub and Cloud Storage). Implement data quality checks, monitoring, and validation to ensure accuracy and integrity of data across all GCP systems. Collaborate closely with Data Scientists and Data Analysts to ensure data readiness for reporting, analytics, and Machine Learning initiatives (e.g., integrating with Vertex AI). Automate deployment, monitoring, and testing of data infrastructure and pipelines using Infrastructure as Code (IaC) tools like Terraform and CI/CD practices. Manage and optimize GCP data storage solutions, primarily BigQuery (data warehouse) and Cloud Storage (data lake), for performance and cost efficiency. Provide technical guidance and recommendations on data architecture and technology choices within the GCP ecosystem. Qualifications 3+ years of proven experience as a Data Engineer, focusing heavily on building production-grade data pipelines. Mandatory hands-on expertise with Google Cloud Platform (GCP) data services, including BigQuery, Cloud Dataflow, Cloud Storage, and Cloud Pub/Sub. Strong proficiency in SQL and extensive experience with data warehousing concepts and data modeling techniques. Expertise in at least one programming language commonly used for data engineering (Python is highly preferred). Experience with Infrastructure as Code (IaC) tools like Terraform for automating GCP data infrastructure deployment. Solid understanding of distributed systems and ETL/ELT frameworks. Excellent analytical and problem-solving skills, with a passion for continuous learning and data governance. Preferred Skills: Google Certified Professional Data Engineer certification. Experience with streaming data technologies and real-time processing within GCP. Knowledge of containerization and orchestration (Docker, Kubernetes/GKE). Additional Information The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.
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.