19 of 19 Remote Cloud Functions Jobs in the UK excluding London

ll be responsible for delivery of complex data and analytics solutions including the ingest of data from a wide variety of data sources into our analytics platforms (typically cloud-based but some work on our on-premise data analytics platforms), and the production of a range of data and analytics products including our data warehouse, analytical data sets … design and data modelling stages of data warehouse projects and be comfortable with conceptual, logical and physical data modelling techniques as well as dimensional modelling techniques. Experience using cloud data warehouse technology- Snowflake (preferred), Google BigQuery, AWS Redshift or Azure Synapse and experience working with key services on either GCP, AWS or Azure. Key services include cloud storage, containerisation, event-driven services, orchestration, cloud functions and basic security/user management. Experience working in an Agile delivery environment, ideally using Scrum and\or Kanban. Able to demonstrate strong written and verbal communication skills and be comfortable communicating and building relationships with stakeholders at all levels. Any experience developing or supporting data More ❯

examples. Qualifications Essential Qualifications, Skills, and Knowledge/Experience: 8+ years of expertise in backend development, with proficiency in Java and experience with serverless frameworks (e.g., AWS Lambda, Google Cloud Functions). Strong understanding of data modeling and experience with SQL (PostgreSQL) and NoSQL databases (e.g., DynamoDB). Ability to analyze data processing bottlenecks and identify More ❯

examples. Qualifications Essential Qualifications, Skills, and Knowledge/Experience: 8+ years of expertise in backend development, with proficiency in Java and experience with serverless frameworks (e.g., AWS Lambda, Google Cloud Functions). Strong understanding of data modeling and experience with SQL (PostgreSQL) and NoSQL databases (e.g., DynamoDB). Ability to analyze data processing bottlenecks and identify More ❯

examples. Qualifications Essential Qualifications, Skills, and Knowledge/Experience: 8+ years of expertise in backend development, with proficiency in Java and experience with serverless frameworks (e.g., AWS Lambda, Google Cloud Functions). Strong understanding of data modeling and experience with SQL (PostgreSQL) and NoSQL databases (e.g., DynamoDB). Ability to analyze data processing bottlenecks and identify More ❯

examples. Qualifications Essential Qualifications, Skills, and Knowledge/Experience: 8+ years of expertise in backend development, with proficiency in Java and experience with serverless frameworks (e.g., AWS Lambda, Google Cloud Functions). Strong understanding of data modeling and experience with SQL (PostgreSQL) and NoSQL databases (e.g., DynamoDB). Ability to analyze data processing bottlenecks and identify 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 ❯

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 ❯

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 ❯

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 ❯

delivering large-scale transformation projects with a focus on end-to-end architecture Deep interest in how architectures can improve experiences and drive better business decisions Experience with Google Cloud Platform stack (BigQuery, Composer, Dataplex, Dataflow, Cloud Functions, Cloud Run, Pub/Sub, GCS, Vertex AI, GKE) or similar cloud platforms Familiarity with open-source data-stack tools (Airflow, DBT, Kafka, Great Expectation, etc.) Appreciation of modern cloud data stack, headless BI, analytics engineering, Data Mesh, and Lake House Although not essential, it would be great if you had any of the below experience Knowledge of Teradata, Mainframe, and/or Google Analytics Experience with data More ❯

resolutions (daily, weekly, monthly) Collaborate with stakeholders in product, marketing, and commercial teams to define inputs and targets Work with structured web analytics and revenue data in a cloud environment Ensure models are robust, explainable, and production-ready Tech Environment Python (NumPy, Pandas, scikit-learn) SQL GCP (BigQuery, Cloud Functions) Deployment: Docker, Kubernetes, Airflow … CI/CD pipelines Tableau (optional) Requirements Proven expertise in time series forecasting at multiple granularities Strong Python and SQL skills Experience deploying models into production in a cloud environment (GCP preferred) Ability to work independently and manage delivery from end to end Strong communication skills for cross-team collaboration Desired Skills and Experience Time series forecasting, temporal … modelling, Python, SQL, scikit-learn, Pandas, NumPy, Prophet, GCP, cloud deployment, productionising models, data pipelines, model validation, stakeholder collaboration, media data #J-18808-Ljbffr More ❯

some exposure to Logistics, FinTech, Transportation, Insurance, Media, or other complex multifactor industries. Requirements 5+ years of experience in a solutions architecture role, with a strong focus on Google Cloud Platform (GCP). Deep expertise in GCP services such as Compute Engine, Cloud Functions, Cloud Run, BigQuery, Cloud Storage, GKE … Google Kubernetes Engine), Cloud Pub/Sub, IAM, and Cloud Identity. Hands-on experience with automation and configuration management tools like Terraform, Google Cloud Deployment Manager, or similar. Proficiency in building and managing CI/CD pipelines using Google Cloud Build, Jenkins, GitHub Actions, or similar tools. Advanced knowledge of Linux and …/or Windows systems administration, networking, and cloud security best practices. Familiarity with monitoring and logging tools such as Google Cloud Monitoring, Cloud Logging, and Stackdriver. Proven ability to architect solutions that meet business and technical requirements while balancing performance, scalability, and cost. Strong communication skills, with the ability to present complex concepts to More ❯

some exposure to Logistics, FinTech, Transportation, Insurance, Media or other complex multifactor industries Requirements 5+ years of experience as a solutions architecture role, with a strong focus on Google Cloud Platform (GCP). Deep expertise in GCP services such as Compute Engine, Cloud Functions, Cloud Run, BigQuery, Cloud Storage, GKE … Google Kubernetes Engine), Cloud Pub/Sub, IAM, and Cloud Identity. Hands-on experience with automation and configuration management tools like Terraform, Google Cloud Deployment Manager, or similar. Proficiency in building and managing CI/CD pipelines using Google Cloud Build, Jenkins, GitHub Actions, or similar tools. Advanced knowledge of Linux and …/or Windows systems administration, networking, and cloud security best practices. Familiarity with monitoring and logging tools such as Google Cloud Monitoring, Cloud Logging, and Stackdriver. Proven ability to architect solutions that meet business and technical requirements while balancing performance, scalability, and cost. Strong communication skills, with the ability to present complex concepts to 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 ❯

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 ❯

COMPANY A leading name in the digital media space, this organisation is focused on leveraging data to drive growth and performance across its digital channels. With a modern cloud-based tech stack and a growing demand for predictive insights, they're investing in scalable data science capabilities. Based in London, the team operates on a hybrid model with … deploying time series models for revenue, traffic, and ad performance Operating across multiple temporal resolutions (daily, weekly, monthly) Working with structured web analytics and revenue data in a cloud environment Ensuring models are robust, explainable, and scalable for production use Collaborating with cross-functional teams to understand needs and define targets Managing delivery independently within a scoped project … deploying models into production environments (GCP preferred) Strong communication skills and stakeholder collaboration experience Ability to manage the full delivery lifecycle autonomously TECH STACK Python, SQL GCP (BigQuery, Cloud Functions) Docker, Kubernetes, Airflow Git, CI/CD pipelines Tableau (optional) WHY APPLY Lead a high-impact forecasting project for a major media brand Work with a More ❯

COMPANY A leading name in the digital media space, this organisation is focused on leveraging data to drive growth and performance across its digital channels. With a modern cloud-based tech stack and a growing demand for predictive insights, they're investing in scalable data science capabilities. Based in London, the team operates on a hybrid model with … deploying time series models for revenue, traffic, and ad performance Operating across multiple temporal resolutions (daily, weekly, monthly) Working with structured web analytics and revenue data in a cloud environment Ensuring models are robust, explainable, and scalable for production use Collaborating with cross-functional teams to understand needs and define targets Managing delivery independently within a scoped project … deploying models into production environments (GCP preferred) Strong communication skills and stakeholder collaboration experience Ability to manage the full delivery lifecycle autonomously TECH STACK Python, SQL GCP (BigQuery, Cloud Functions) Docker, Kubernetes, Airflow Git, CI/CD pipelines Tableau (optional) WHY APPLY Lead a high-impact forecasting project for a major media brand Work with a More ❯

a day across over 600 systems. We build these systems with industry standard frameworks and tools, such as React and Angular on the front end and Spring Boot, Cloud SQL and Apache Kafka on the back end. All of this runs on our cutting edge cloud delivery platform, facilitating over 60k releases to production a year.We … end technologies (e.g., React or Angular, TypeScript/Modern JavaScript), along with proficiency in building RESTful APIs and web services.* Deep understanding of cloud platforms, particularly Google Cloud, and hands-on experience with services like GKE, Cloud Functions, Pub/Sub, etc.* Knowledge of relational databases (SQL), along with experience working with More ❯