10 of 10 Cloud Functions Jobs in the City of London

design and implementation of scalable, secure, and high-performance data solutions. You’ll play a key role in architecting modern data platforms using Snowflake , SQL , Python , and leading cloud technologies to support advanced analytics, reporting, and machine learning initiatives across the business. Key Responsibilities: Design and maintain end-to-end data architectures, data models, and pipelines in Snowflake … and cloud platforms (AWS, Azure, or GCP). Develop and optimize scalable ELT/ETL processes using SQL and Python. Define data governance, metadata management, and security best practices. Collaborate with data engineers, analysts, product managers, and stakeholders to understand data needs and translate them into robust architectural solutions. Oversee data quality, lineage, and observability initiatives. Recommend and … for large-scale data sets. Ensure platform scalability, cost-efficiency, and system reliability. Required Skills & Experience: Proven experience as a Data Architect or Senior Data Engineer working on cloud-native data platforms. Strong hands-on experience with Snowflake – data modeling, performance tuning, security configuration, and data sharing. Proficiency in SQL for complex querying, optimization, and stored procedures. Strong More ❯

design and implementation of scalable, secure, and high-performance data solutions. You’ll play a key role in architecting modern data platforms using Snowflake , SQL , Python , and leading cloud technologies to support advanced analytics, reporting, and machine learning initiatives across the business. Key Responsibilities: Design and maintain end-to-end data architectures, data models, and pipelines in Snowflake … and cloud platforms (AWS, Azure, or GCP). Develop and optimize scalable ELT/ETL processes using SQL and Python. Define data governance, metadata management, and security best practices. Collaborate with data engineers, analysts, product managers, and stakeholders to understand data needs and translate them into robust architectural solutions. Oversee data quality, lineage, and observability initiatives. Recommend and … for large-scale data sets. Ensure platform scalability, cost-efficiency, and system reliability. Required Skills & Experience: Proven experience as a Data Architect or Senior Data Engineer working on cloud-native data platforms. Strong hands-on experience with Snowflake – data modeling, performance tuning, security configuration, and data sharing. Proficiency in SQL for complex querying, optimization, and stored procedures. Strong More ❯

of intelligent applications—supporting workflows across LLMs, autonomous agents, semantic search, RAG pipelines, and memory-augmented reasoning systems. Key Responsibilities: Design and build scalable, secure data pipelines using Google Cloud Platform (GCP) services including BigQuery, Dataflow, Cloud Functions, Pub/Sub, and Vertex AI. Support AI engineers by managing structured and unstructured data ingestion … and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance, access control, and compliance practices. Tech Stack: Languages: Python, SQL Cloud: Google Cloud Platform (BigQuery, Dataflow, Vertex AI, Cloud Run, Pub/Sub) Databases: PostgreSQL, BigQuery, Pinecone, FAISS, Chroma Tools: dbt, Airflow, Terraform, Docker, GitHub Actions AI Frameworks: LangChain More ❯

to clients' first-party data, we create innovative solutions and unlock the power of AI, delivering tangible ROIs for our clients. Our expert consultants orchestrate Google Marketing and Google Cloud technologies to unlock ultimate AI-powered performance within our client’s organisation. About the Role As one of our Data Engineers, you will be part of a team … automation solutions and data AI Agents. You will be designing and proposing effective combinations of Google Marketing Platform tools (GA4, Campaign Manager 360, Search Ads 360, etc.) and Google Cloud solutions (BigQuery, BQ Sharing (Analytics Hub), Cloud Storage, APIs, Compute Engine, etc.) to address specific client needs. You will be designing, maintaining, and optimising data infrastructure … and clients to uncover their unique marketing challenges, business objectives, and current architectures. You will translate their needs into actionable product roadmaps that leverage Google Marketing Platform and Google Cloud solutions. Responsibilities Lead the design, development, and optimization of scalable data pipelines using Python and GCP. Configure and manage complex integrations between Google Marketing Platform tools, Google Cloud More ❯

of intelligent applications—supporting workflows across LLMs, autonomous agents, semantic search, RAG pipelines, and memory-augmented reasoning systems. Key Responsibilities: Design and build scalable, secure data pipelines using Google Cloud Platform (GCP) services including BigQuery, Dataflow, Cloud Functions, Pub/Sub, and Vertex AI. Support AI engineers by managing structured and unstructured data ingestion … and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance, access control, and compliance practices. Tech Stack: Languages: Python, SQL Cloud: Google Cloud Platform (BigQuery, Dataflow, Vertex AI, Cloud Run, Pub/Sub) Databases: PostgreSQL, BigQuery, Pinecone, FAISS, Chroma Tools: dbt, Airflow, Terraform, Docker, GitHub Actions AI Frameworks: LangChain More ❯

to clients' first-party data, we create innovative solutions and unlock the power of AI, delivering tangible ROIs for our clients. Our expert consultants orchestrate Google Marketing and Google Cloud technologies to unlock ultimate AI-powered performance within our client’s organisation. About the Role As one of our Data Engineers, you will be part of a team … automation solutions and data AI Agents. You will be designing and proposing effective combinations of Google Marketing Platform tools (GA4, Campaign Manager 360, Search Ads 360, etc.) and Google Cloud solutions (BigQuery, BQ Sharing (Analytics Hub), Cloud Storage, APIs, Compute Engine, etc.) to address specific client needs. You will be designing, maintaining, and optimising data infrastructure … and clients to uncover their unique marketing challenges, business objectives, and current architectures. You will translate their needs into actionable product roadmaps that leverage Google Marketing Platform and Google Cloud solutions. Responsibilities Lead the design, development, and optimization of scalable data pipelines using Python and GCP. Configure and manage complex integrations between Google Marketing Platform tools, Google Cloud More ❯

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and … modelling, demonstrable experience interpreting requirements and producing design artefacts for implementation by development teams. Java 8 and higher; Spring boot (preferable); RDBMS (Oracle, Postgres) Desired; Micro services; Kubernetes Google Cloud Platform (GCP) or any other cloud GKE Cloud SQL Cloud Functions GCS and Labelling Pub Sub and Dataflow Big Query …/2003/2000/XP, Windows 98, UNIX, RedHat, Linux, DOS. IAM Tools ForgeRock CIAM, IDM, AM, DS Cloud deployment Docker/GKE/Terraform, Google cloud environment (GKE) App server WebSphere, Jboss, Tomcat, WebLogic Languages C, C++, Java/J2EE Web Development HTML, CSS, JavaScript, JSP, Servlets. Database MS SQL Server2000/2005/ More ❯

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and … modelling, demonstrable experience interpreting requirements and producing design artefacts for implementation by development teams. Java 8 and higher; Spring boot (preferable); RDBMS (Oracle, Postgres) Desired; Micro services; Kubernetes Google Cloud Platform (GCP) or any other cloud GKE Cloud SQL Cloud Functions GCS and Labelling Pub Sub and Dataflow Big Query …/2003/2000/XP, Windows 98, UNIX, RedHat, Linux, DOS. IAM Tools ForgeRock CIAM, IDM, AM, DS Cloud deployment Docker/GKE/Terraform, Google cloud environment (GKE) App server WebSphere, Jboss, Tomcat, WebLogic Languages C, C++, Java/J2EE Web Development HTML, CSS, JavaScript, JSP, Servlets. Database MS SQL Server2000/2005/ More ❯

The Role As a Senior GCP Data Engineer you will be responsible for providing top-tier data capabilities, leveraging your engineering skills, and embracing the possibilities offered by cloud technology. Key responsibilities: Demonstrate the ability to contribute as an independent senior developer. Design and build data pipelines using GCP services such as BigQuery, Cloud Functions, Cloud Dataflow, PubSub, etc. Transform, normalize and aggregate the data as per project need. Ensure security measures like IAM roles, encryption, etc. as per project need. Optimize the data pipelines for making them efficient. Participate in solution designing, reviews and approvals. Build data models and schemas for efficient data storage and retrievals. Coordinate with different stakeholders … player who gels with the team and provide guidance and support to the team as necessary. Your Profile Essential experience: Experience in Python and Spark development. Experience in Google Cloud tech stack: Cloud Run, Big Query, Cloud Functions, PubSub, GKE CI/CD pipeline. The ability to design the efficient solutions, make More ❯

The Role As a Senior GCP Data Engineer you will be responsible for providing top-tier data capabilities, leveraging your engineering skills, and embracing the possibilities offered by cloud technology. Key responsibilities: Demonstrate the ability to contribute as an independent senior developer. Design and build data pipelines using GCP services such as BigQuery, Cloud Functions, Cloud Dataflow, PubSub, etc. Transform, normalize and aggregate the data as per project need. Ensure security measures like IAM roles, encryption, etc. as per project need. Optimize the data pipelines for making them efficient. Participate in solution designing, reviews and approvals. Build data models and schemas for efficient data storage and retrievals. Coordinate with different stakeholders … player who gels with the team and provide guidance and support to the team as necessary. Your Profile Essential experience: Experience in Python and Spark development. Experience in Google Cloud tech stack: Cloud Run, Big Query, Cloud Functions, PubSub, GKE CI/CD pipeline. The ability to design the efficient solutions, make More ❯