12 of 12 Cloud Functions Jobs in London

data across 26+ ad platforms for multiple global clients. You will work closely with our team to build and maintain ELT pipelines from Cloud Function ingestion into BigQuery through to dbt-powered transformation ensuring the highest standard in data integrity and scalability.This is an exciting role with excellent … seeds, testing, and packages.* Proficient in Python 3.11+ building CLI tools, data processing, and automation.* Proficient in SQL, ideally BigQuery dialect.* Experience with Google Cloud Platform especially BigQuery, Cloud Run, Cloud Functions, Cloud Storage, Pub/Sub, and Cloud ...

agency delivers data at scale — with excellent scope for career progression. What you’ll be doing: Owning end-to-end ELT pipelines, from Cloud Function ingestion through dbt transformation to BigQuery. Building reusable macros, templates and configurations that scale across platforms and clients. Developing Python tooling to automate … models, seeds, testing and packages. Python 3.11+: building CLI tools, data processing and automation. SQL: strong querying and transformation skills, ideally using BigQuery. Google Cloud Platform: BigQuery, Cloud Run, Cloud Functions, Cloud Storage, Pub/Sub and Cloud ...

Manage real-time user sessions, control commands, and state synchronisation across systems. Backend & Cloud Architecture Design and maintain backend services on Google Cloud Platform (GCP), including Firebase, Cloud Functions, and Firestore. Build secure, scalable APIs using Node.js and/or Python … Three.js, and real-time 3D rendering on the web. Experience integrating web platforms with Unreal Engine and Pixel Streaming. Hands-on experience with Google Cloud Platform, including Firebase, Cloud Functions, Firestore, and Cloud Run. Backend development experience using Node.js and/ ...

/CD Pipelines, experience working with repos, build automation tools, build orchestration and environment automation is very interesting E.g. Jenkins, GIT, SVN, CVS, Cloud-Formation, Terraform, Chef, Ansible, Puppet, Code Pipeline, Azure Stack Implementing microservices and containers E.g. Kubernetes, Docker, OpenShift Implementing tools for logging, monitoring and alerting. … E.g. TICK Stack, ELK Stack, Splunk, CloudWatch Creating and automating virtual machines in the cloud deployed on compute instances Implementing other cloud infrastructure and networking required to host a digital service, including storage, firewall and network configuration High availability, business continuity and disaster recovery solutions ...

ingestion of structured and unstructured files (CSV, JSON, clinical exports, third‐party feeds) from a variety of sources including transactional Databases, cloud storage, and external APIs, applying robust validation, error handling, and schema management across the raw and curated data layers. Champion data quality, governance, and documentation : implement … variety of sources, including cloud storage buckets and third‐party exports. Desired but not essential skills and experience include Broader Google Cloud Platform ecosystem, like Cloud Run, Cloud Functions, Cloud Storage, Pub/Sub, and Cloud ...

sectors. We've helped ambitious brands grow faster, smarter, and globally. The Role We're hiring a Lead Platform Engineer to own our Google Cloud platform and the route our engineers take to production. You'll spend most of your time designing and building, and you'll manage … tooling so product engineers can ship and run their own services with confidence. Reliability and security Set up monitoring, logging and alerting using Cloud Monitoring, Cloud Logging, Prometheus and Grafana. Lead root cause analysis after incidents and see the fixes through. Build security into the delivery ...

Product, Data Science, and Insights. Prioritise improvements that deliver customer value, reduce recurring manual work, or address reliability needs, while keeping complexity and cloud costs under control. Build data quality, governance, and security into everyday delivery through automated checks, clear data ownership, and appropriate access controls. Work with … talented team deliver effectively. Our tech stack Data Engineering Python and SQL dbt for data transformations dlt for data extraction and loading Google Cloud Platform (GCP): Cloud Functions, Workflows, Cloud SQL, Cloud Storage, BigQuery, Pub/Sub, and Datastream PostgreSQL ...

operational data into precise reporting outputs. In this hands-on technical role, you'll lead the modernisation of legacy SQL Server systems into Google Cloud Platform architectures. You'll design scalable BigQuery and Dataform pipelines, mentor engineers, and adopt AI-assisted development tools to drive engineering quality across … regulatory data projects and major workstreams from planning through to operational delivery Design, develop and maintain robust reporting systems across SQL Server and Google Cloud Platform Build resilient ETL and ELT pipelines for data ingestion, transformation and validation Modernise legacy SQL Server reporting solutions into scalable, cloud ...

Devops Engineer Hybrid working, London/Edinburgh We’re seeking an amazing and experienced Cloud Devops Engineer (GCP preferred) with strong technical, tactical, and research oriented skills to join our customer-obsessed product team. You will help us maximise the use of the cloud and our on-cloud selected technologies, to build a high performance data landscape across non production and production. You'll be part of a small but very capable and focused team and you will be responsible for ensuring all engineers adhere to the landscape standards ...

data science teams. Lead functional projects or work streams focused on AI infrastructure and tooling. Your Profile & Recommended Experience: Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions ...

Join a practitioner-led data and cloud consultancy dedicated to delivering transformative data platforms and scalable AI solutions for large-scale enterprise and public-sector organizations.Operating through a collaborative,blended team structure,the business combines advanced engineering expertise with a human-centered approach to solve complex data challenges … across connected data platforms Deploy an MVP solution to automate the capture and recording of business interactions within DataHub Build, deploy, and manage cloud infrastructure using IaC concepts across AWS or GCP ecosystems, including serverless services such as S3, Glue, Lake Formation, Cloud Functions ...

with a mature product, strong product market fit and happy customers. Our data platform already does a lot. It runs on Google Cloud Platform and feeds our internal tooling and reporting, as well as a number of customer facing resources such as RecTrends, our public benchmarking site. What … modelling (Dataform or dbt), with strong Python and code managed properly in version control Deep hands on time with BigQuery or a similar cloud warehouse (Snowflake works too) and modern ELT, and the judgement to pick tools on merit, cost and maintainability A track record of data products ...