22 of 22 BigQuery Jobs in the South West

Principal GCP Data Engineer , you will: Lead the design, development, and delivery of data processing solutions using GCP tools such as Dataflow, Dataproc, and BigQuery Design automated data pipelines using orchestration tools like Cloud Composer Contribute to architecture discussions and design end-to-end data solutions Own development processes ...

Principal GCP Data Engineer , you will: Lead the design, development, and delivery of data processing solutions using GCP tools such as Dataflow, Dataproc, and BigQuery Design automated data pipelines using orchestration tools like Cloud Composer Contribute to architecture discussions and design end-to-end data solutions Own development processes ...

Principal GCP Data Engineer , you will: Lead the design, development, and delivery of data processing solutions using GCP tools such as Dataflow, Dataproc, and BigQuery Design automated data pipelines using orchestration tools like Cloud Composer Contribute to architecture discussions and design end-to-end data solutions Own development processes ...

will guide delivery, shape best practices, and mentor other team members. Key Responsibilities : Lead the design, development, and deployment of scalable data pipelines using BigQuery, Dataflow, Dataproc, and Pub/Sub Automate ETL/ELT workflows and orchestrate pipelines with tools such as Cloud Composer Contribute to architecture ...

will ideally have: Hands-on experience with GCP services such as Cloud Functions, Cloud Run, GKE, Compute Engine, VPCs, Cloud Spanner, Cloud SQL, and BigQuery Strong knowledge of microservices, event-driven architectures, and API design Experience with CI/CD pipelines, infrastructure as code (Terraform), and automated testing Competence ...

marketing teams. Hands-On AI & Data Implementation Unify and analyse data across platforms such as Meta Ads, Google Ads, LinkedIn Ads, GA4, HubSpot, Salesforce, BigQuery, Looker, and internal agency systems. Build and oversee bespoke attribution models, predictive performance models, LTV forecasting, and churn or retention indicators. Automate client-ready ...

marketing teams. Hands-On AI & Data Implementation Unify and analyse data across platforms such as Meta Ads, Google Ads, LinkedIn Ads, GA4, HubSpot, Salesforce, BigQuery, Looker, and internal agency systems. Build and oversee bespoke attribution models, predictive performance models, LTV forecasting, and churn or retention indicators. Automate client-ready ...

marketing teams. Hands-On AI & Data Implementation Unify and analyse data across platforms such as Meta Ads, Google Ads, LinkedIn Ads, GA4, HubSpot, Salesforce, BigQuery, Looker, and internal agency systems. Build and oversee bespoke attribution models, predictive performance models, LTV forecasting, and churn or retention indicators. Automate client-ready ...

marketing teams. Hands-On AI & Data Implementation Unify and analyse data across platforms such as Meta Ads, Google Ads, LinkedIn Ads, GA4, HubSpot, Salesforce, BigQuery, Looker, and internal agency systems. Build and oversee bespoke attribution models, predictive performance models, LTV forecasting, and churn or retention indicators. Automate client-ready ...

marketing teams. Hands-On AI & Data Implementation Unify and analyse data across platforms such as Meta Ads, Google Ads, LinkedIn Ads, GA4, HubSpot, Salesforce, BigQuery, Looker, and internal agency systems. Build and oversee bespoke attribution models, predictive performance models, LTV forecasting, and churn or retention indicators. Automate client-ready ...

systems built for performance and reliability. What You'll Work With Frontend: React, TypeScript, NextJS Backend: Python, SQL Cloud: Google Cloud Platform (GCP) Data: BigQuery, CloudSQL, geolocation/spatial datasets (advantageous) Infrastructure & DevOps: Apache Airflow/SQLMesh/Prefect, GitHub CI/CD, Terraform/Terragrunt, Grafana, FinOps mindset ...

systems built for performance and reliability. What You'll Work With Frontend: React, TypeScript, NextJS Backend: Python, SQL Cloud: Google Cloud Platform (GCP) Data: BigQuery, CloudSQL, geolocation/spatial datasets (advantageous) Infrastructure & DevOps: Apache Airflow/SQLMesh/Prefect, GitHub CI/CD, Terraform/Terragrunt, Grafana, FinOps mindset ...

systems built for performance and reliability. What You'll Work With Frontend: React, TypeScript, NextJS Backend: Python, SQL Cloud: Google Cloud Platform (GCP) Data: BigQuery, CloudSQL, geolocation/spatial datasets (advantageous) Infrastructure & DevOps: Apache Airflow/SQLMesh/Prefect, GitHub CI/CD, Terraform/Terragrunt, Grafana, FinOps mindset ...

systems built for performance and reliability. What You'll Work With Frontend: React, TypeScript, NextJS Backend: Python, SQL Cloud: Google Cloud Platform (GCP) Data: BigQuery, CloudSQL, geolocation/spatial datasets (advantageous) Infrastructure & DevOps: Apache Airflow/SQLMesh/Prefect, GitHub CI/CD, Terraform/Terragrunt, Grafana, FinOps mindset ...

systems built for performance and reliability. What You'll Work With Frontend: React, TypeScript, NextJS Backend: Python, SQL Cloud: Google Cloud Platform (GCP) Data: BigQuery, CloudSQL, geolocation/spatial datasets (advantageous) Infrastructure & DevOps: Apache Airflow/SQLMesh/Prefect, GitHub CI/CD, Terraform/Terragrunt, Grafana, FinOps mindset ...

Vite, React/Vue), and API gateway patterns. Security tooling integration: SAST/DAST/SCA, dependency governance, SBOMs. Experience with GCP services (e.g., BigQuery, Maps, Vertex) and cross‐cloud identity/networking. Led AI governance and lifecycle management to ensure compliant, secure, and reliable AI/ ...

environments (like Retool). SQL & dbt: Experience using dbt and unit testing to validate advanced SQL modeling logic. Data Warehousing: Hands-on experience with BigQuery or a similar modern stack. Version Control: Comfortable using GitHub for managing your work. Agile Mindset: Experience using Jira to manage workloads and prioritise ...

environments (like Retool). SQL & dbt: Experience using dbt and unit testing to validate advanced SQL modeling logic. Data Warehousing: Hands-on experience with BigQuery or a similar modern stack. Version Control: Comfortable using GitHub for managing your work. Agile Mindset: Experience using Jira to manage workloads and prioritise ...

environments (like Retool). SQL & dbt: Experience using dbt and unit testing to validate advanced SQL modeling logic. Data Warehousing: Hands-on experience with BigQuery or a similar modern stack. Version Control: Comfortable using GitHub for managing your work. Agile Mindset: Experience using Jira to manage workloads and prioritise ...

environments (like Retool). SQL & dbt: Experience using dbt and unit testing to validate advanced SQL modeling logic. Data Warehousing: Hands-on experience with BigQuery or a similar modern stack. Version Control: Comfortable using GitHub for managing your work. Agile Mindset: Experience using Jira to manage workloads and prioritise ...

environments (like Retool). SQL & dbt: Experience using dbt and unit testing to validate advanced SQL modeling logic. Data Warehousing: Hands-on experience with BigQuery or a similar modern stack. Version Control: Comfortable using GitHub for managing your work. Agile Mindset: Experience using Jira to manage workloads and prioritise ...

environments (like Retool). SQL & dbt: Experience using dbt and unit testing to validate advanced SQL modeling logic. Data Warehousing: Hands-on experience with BigQuery or a similar modern stack. Version Control: Comfortable using GitHub for managing your work. Agile Mindset: Experience using Jira to manage workloads and prioritise ...