8 of 8 Permanent Cloud Functions Jobs in the UK excluding London

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 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 … 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 … 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 More ❯

GCP, Data Products, Data Mesh, ETL, EDW Composer, Big Query, DataProc, DBT Spark, Hive, Kafka, Pub-Sub, Jira, GCP Dataflow, BigTable, Python, Kafka, Cloud DataProc, Cloud Data Flow, Cloud Data Fusion, GCS, Cloud Pub/Sub, Cloud functions More ❯

Role – We are seeking an experienced GCP Data Architect to lead the design and development of cloud-native data architectures on Google Cloud Platform. This role is crucial in transforming our client’s enterprise data landscape to support scalability, security, and innovation. As a Data Architect … Key skills: 7+ years of experience in data engineering or data architecture roles 3+ years of hands-on experience architecting data solutions on Google Cloud Platform Strong knowledge of BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Cloud Functions Proficient in data … with Infrastructure as Code (e.g., Terraform, Deployment Manager) Deep understanding of data governance, security, and compliance frameworks GCP Professional Data Engineer or Professional Cloud Architect certification Experience with hybrid or multi-cloud architectures Familiarity with streaming platforms like Apache Kafka or Google Pub/Sub Background More ❯

for building and maintaining scalable, efficient, and reliable data pipelines. You’ll work across a modern tech stack with a strong focus on Google Cloud Platform (GCP) and collaborate with various teams to ensure data flows securely and accurately throughout the organisation. Key Responsibilities Design, build, and maintain … robust data pipelines. Work with Python and SQL for data processing, transformation, and analysis. Leverage a wide range of GCP services including: Cloud Composer (Apache Airflow) BigQuery Cloud Storage Dataflow Pub/Sub Cloud Functions IAM Design and implement data models and More ❯

The Site Reliability Engineering (SRE) team at Pendo is responsible for provisioning and maintaining cloud infrastructure from development through production for all product initiatives, and working with developers and product managers to ensure that our products are not only reliable and performant, but also cost-efficient. Our platform … is built on Google Kubernetes Engine (GKE) and utilizes several other Google technologies such as Memorystore, Cloud Datastore, PubSub, Cloud Functions, BigQuery, and Vertex AI, as well as services from other vendors such as Amazon SES. In the development process, SREs provide developers with … pipelines and development environments to facilitate frequent delivery of new product features. In production, SREs perform Tier 1 on-call and incident management functions, supporting a high-throughput platform which processes more than 15 billion events per day. To ensure the reliability of this environment for our customers More ❯

skills, a Solutions Engineer, will work directly with some of our largest and fastest growing customers to enable innovation through continuous deployment of cloud native technology stacks and advanced cloud solutions. What you'll do as a Solutions Architect with us? Create Solution architectures for Data … Engineering and Analytics projects using google native products like Pub/Sub, DataFlow, Cloud Functions, Google BigQuery and Looker Create Solution architectures for Data Engineering and Analytics projects using AWS products like S3, Redshift, QuickSight and AWS SageMaker Build High performance scalable architecture presentations and generate … Involve yourself in Analytics architecture discussions and lead the team technically Keep pace with new architectures and newer AWS products Be a Searce Cloud evangelist. Educate customers of all sizes on the value proposition of various services and benefits offered by Searce and partner OEMs. Author or otherwise More ❯

their products + much more Key Responsibilities Develop and maintain ETL/ELT data pipelines using Python and SQL. Work with enterprise-level cloud platforms, ideally GCP (BigQuery, Airflow, Cloud Functions). Integrate APIs and process data from multiple sources. Design and optimise data … dashboards using tools like Tableau or Power BI. Required Skills Strong experience with Python and SQL for data manipulation and automation. Expertise in cloud platforms, particularly GCP or similar enterprise-level cloud environments (AWS/Azure) Solid experience with data warehousing and ETL/ELT processes. More ❯