14 of 14 Cloud Functions Jobs in the UK

Design, develop, and maintain robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and maintain data models and schemas … to support efficient data storage and retrieval in Google Cloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools. Data Lakes: Build data lakes using Google Cloud services such as Big Query. Performance Optimization: Optimize data pipelines and queries for … improved performance and scalability in Google Cloud environments. Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing. Your Profile Essential experience: Experience in data engineering, with a strong focus on Google Cloud Platform (GCP More ❯

Design, develop, and maintain robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and maintain data models and schemas … to support efficient data storage and retrieval in Google Cloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools. Data Lakes: Build data lakes using Google Cloud services such as Big Query. Performance Optimization: Optimize data pipelines and queries for … improved performance and scalability in Google Cloud environments. Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing. Your Profile Essential experience: Experience in data engineering, with a strong focus on Google Cloud Platform (GCP More ❯

Design, develop, and maintain robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and maintain data models and schemas … to support efficient data storage and retrieval in Google Cloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools. Data Lakes: Build data lakes using Google Cloud services such as Big Query. Performance Optimization: Optimize data pipelines and queries for … improved performance and scalability in Google Cloud environments. Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing. Your Profile Essential experience: Experience in data engineering, with a strong focus on Google Cloud Platform (GCP More ❯

Design, develop, and maintain robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and maintain data models and schemas … to support efficient data storage and retrieval in Google Cloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools. Data Lakes: Build data lakes using Google Cloud services such as Big Query. Performance Optimization: Optimize data pipelines and queries for … improved performance and scalability in Google Cloud environments. Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing. Your Profile Essential experience: Experience in data engineering, with a strong focus on Google Cloud Platform (GCP More ❯

Design, develop, and maintain robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and maintain data models and schemas … to support efficient data storage and retrieval in Google Cloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools. Data Lakes: Build data lakes using Google Cloud services such as Big Query. Performance Optimization: Optimize data pipelines and queries for … improved performance and scalability in Google Cloud environments. Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing. Your Profile Essential experience: Experience in data engineering, with a strong focus on Google Cloud Platform (GCP More ❯

3days) Role We are seeking a skilled and motivated GCP Cloud Developer with hands-on experience designing and implementing scalable cloud-based solutions using Google Cloud Platform (GCP). The ideal candidate will have a solid background in developing serverless applications, managing cloud storage and databases, and integrating with APIs using Apigee. … Experience with Excel-based automation tools and version control systems like Azure DevOps is a strong plus. Your Responsibilities Design, develop, and deploy applications using Google Cloud Functions (Python or Node.js). Implement and optimize data pipelines using Google Cloud Dataflow. Manage and query relational databases using Cloud SQL (PostgreSQL/MySQL … . Handle file operations and trigger-based workflows using Google Cloud Storage. Configure and manage access controls using Google Cloud IAM (service accounts and permissions). Integrate and manage APIs through Apigee API Management. Work with Excel VBA macros and offline tools for automation tasks. Maintain source code repositories and CI/CD pipelines using Git More ❯

Data & AI team. This is an excellent opportunity for someone with up to 3 years of experience (or a strong academic background) to gain hands-on exposure to cloud technologies and grow in a collaborative, fast-paced environment. What You'll Be Doing: Building and maintaining scalable data pipelines across Azure and GCP Working with tools such as … Azure Data Factory, Snowflake, BigQuery, and Cloud Functions Supporting data warehousing and integration across diverse industry projects Collaborating with data professionals and contributing to cross-functional delivery teams Assisting in reporting and data visualisation (Power BI/Looker - nice to have) What We're Looking For: 0-3 years of experience in a data engineering or … similar role (graduates welcome) Proficiency in SQL and Python Exposure to any of the following: Azure Data Factory GCP BigQuery Snowflake Cloud Functions Strong communication and problem-solving skills Must be eligible for SC (Security Check) clearance (UK residency required) What's On Offer: £60,000 base salary Hybrid working (London office base) Clear progression plan More ❯

execute the integration of our current infrastructure into TransUnion's group-wide cloud platform while minimising disruptions. Participate in the migration of infrastructure from AWS to Google Cloud Platform (GCP), ensuring a smooth transition and leveraging GCP services effectively. DevOps & Security: Maintain robust CI/CD pipelines, collaborating closely with development teams to streamline deployment processes. … configuration (Apache, Nginx). Database management (MySQL, MongoDB), including high availability and backup solutions. Hands-on experience managing cloud providers, with significant experience in AWS and Google Cloud Platform (GCP). Familiarity with GCP services such as Compute Engine, Kubernetes Engine (GKE), Cloud Storage, BigQuery, and IAM. Familiarity with configuration management and IT automation … highly organised, and capable of driving initiatives from concept to delivery. Excellent communication and stakeholder management skills. Desirable Skills: Experience with serverless infrastructure (e.g., AWS Fargate, Lambda, GCP Cloud Functions). Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as More ❯

experience with data engineering principles and practices, including data extraction, transformation, and loading (ETL). Solid SQL/BQ skills for data querying and manipulation. Extensive experience with Google Cloud Platform (GCP) AI/ML services is highly desirable (e.g. Vertex AI, Cloud Functions, BigQuery). Deep understanding of machine learning algorithms and techniques More ❯

environment Track record of building analytics and reporting frameworks from scratch Proficiency in Tableau (or Metabase, Power BI, Looker, Google Data Studio) Strong knowledge of SQL and Python (cloud functions/ML projects) Excellent stakeholder skills - able to communicate insights to technical & non-technical audiences Familiarity with attribution modelling, AB testing, and pipeline management in BigQuery More ❯

environment Track record of building analytics and reporting frameworks from scratch Proficiency in Tableau (or Metabase, Power BI, Looker, Google Data Studio) Strong knowledge of SQL and Python (cloud functions/ML projects) Excellent stakeholder skills - able to communicate insights to technical & non-technical audiences Familiarity with attribution modelling, AB testing, and pipeline management in BigQuery 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 … performance. Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend … like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and 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 … performance. Fine-Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend … like Gemini, and Llama 3. RAG & Vector Databases: Deep expertise in RAG architecture and evaluation metrics. Proven experience with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and More ❯

to development best practices. Collaborate with cross-functional teams to gather requirements and implement scalable software systems and applications. Contribute to the design and optimization of microservices and cloud-based system architectures. Prototype and implement new features to enhance our financial technology platform. Participate in on-call rotations as level 1 support engineer for our data platform services. … required 3+ years of professional development experience with a multi-person engineering team, leveraging modern practices like code reviews, CI/CD, and trunk-based development. Experience in cloud ecosystems, particularly Google Cloud Platform services like BigQuery, Pub/Sub, or Cloud Functions. Required Skills/Abilities Proficiency in software development using modern programming More ❯