Google Cloud Platform (GCP)

cloud, cloud provider, infrastructure, services
GCP
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When the cloud became the inevitable future, Google, naturally, decided it needed a piece of the action. Google Cloud Platform emerged, promising to democratize access to cutting-edge infrastructure and, crucially, to leverage Google’s internal innovations—the same tech powering search and YouTube, now available for your applications. Quite clever, really, though one does wonder if anyone outside Google fully understands how it all fits together.

In practice, GCP is a robust, if somewhat Byzantine, collection of services. It’s strong on data analytics and machine learning, boasting tools like BigQuery that genuinely impress. However, navigating the console feels less intuitive than AWS or Azure, and documentation can be...let's say, a scavenger hunt. While gaining traction with data-focused enterprises and startups embracing Kubernetes, it still plays a distant third fiddle in the overall cloud wars. It’s a powerful platform, certainly, but one that demands a dedicated team to truly unlock its potential.

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Jobs in using Google Cloud Platform (GCP) for but please no

data engineer

Data Engineer II – QuantumBlack, AI by McKinsey @ quantumblack

GB | 2025-12-28
London-based Data Engineer II at a McKinsey-affiliated team promises pedigree, scale, and a steady drip of enterprise data problems for ML. The role centers on building scalable, modular... read more »
Analytics, AI/ML, Data Quality, R, Data Engineering, Agile/Scrum, C, Computer Science, Python, Scala, Java, Docker, Kubernetes, Spark, Cloud Computing, AWS, Azure, GCP, Pandas, NumPy, Matplotlib, DevOps, DataOps, MLOps, PySpark, SQL, Airflow, Databricks, GenAI, Management
data engineer

Data Engineer I - QuantumBlack, AI by McKinsey @ quantumblack

GB | 2025-12-26
Data Engineer I at a top consultancy places you at the intersection of data pipelines, ML readiness, and client-facing delivery in London. The role promises rigorous on-the-job learning,... read more »
Analytics, AI/ML, Data Quality, R, Data Engineering, Agile/Scrum, C, Computer Science, Python, Pandas, NumPy, Matplotlib, Spark, Cloud Computing, AWS, Azure, GCP, Docker, Kubernetes, DevOps, DataOps, MLOps, PySpark, SQL, Airflow, Databricks, GenAI, Management
promoted

BigQuery Cost Optimization Guide by Masthead Data

The BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of...

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data engineer

Data Engineering Consultant @ uk-talan

GB | 2025-12-25
An enterprise data engineering consultant role at Talan Data x AI promises multi-cloud breadth (AWS, Azure, GCP) and a Databricks Lakehouse core, with DBT, Terraform, and CI/CD baked in. The stack... read more »
AI/ML, Data Management, Analytics, PySpark, Spark, AWS, Azure, Cloud Computing, GCP, Data Lake, Python, SQL, GitHub, CI/CD, Databricks, Data Lakehouse, dbt, Git, Management, DevOps, Data Engineering, DWH, Data Modelling, Data Quality, Data Analytics, DataViz, Data Science, BI, IaC, Terraform, Tableau, Power BI, Snowflake