14 of 14 BigQuery Jobs in the South West

and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP •Development experience within secure or classified environments particularly where compliance or restricted networks More ❯

and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP •Development experience within secure or classified environments particularly where compliance or restricted networks More ❯

and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP •Development experience within secure or classified environments particularly where compliance or restricted networks More ❯

Deep technical expertise in software and data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (Kafka, Flink, DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Container technologies (Docker, Kubernetes), IaaC (Terraform) and experience with cloud platforms such as GCP. CI/CD: Detailed understanding of working automated CI/CD pipelines More ❯

and analysis. Strong stakeholder management and communication skills, with the ability to translate technical outputs into business-friendly insights. Experience with Snowflake (or alternative cloud data warehouses such as BigQuery or Redshift). More ❯

and analysis. Strong stakeholder management and communication skills, with the ability to translate technical outputs into business-friendly insights. Experience with Snowflake (or alternative cloud data warehouses such as BigQuery or Redshift). More ❯

and analysis. Strong stakeholder management and communication skills, with the ability to translate technical outputs into business-friendly insights. Experience with Snowflake (or alternative cloud data warehouses such as BigQuery or Redshift). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications More ❯

type checking/hinting. Version control: Git workflows (branching, PRs, tagging, semantic versioning). Google Cloud Platform (GCP): Hands-on experience with services like Vertex AI, Google Cloud Storage, BigQuery, Google Artifact Registry. GCP Professional Machine Learning Engineer or Associate Cloud Engineer certifications are a plus. ML model productionisation: Experience operationalising models on Google Cloud Platform or the internal More ❯

type checking/hinting. Version control: Git workflows (branching, PRs, tagging, semantic versioning). Google Cloud Platform (GCP): Hands-on experience with services like Vertex AI, Google Cloud Storage, BigQuery, Google Artifact Registry. GCP Professional Machine Learning Engineer or Associate Cloud Engineer certifications are a plus. ML model productionisation: Experience operationalising models on Google Cloud Platform or the internal More ❯

We are currently looking for a Senior Client Insight Analyst to join our Insight Team and are keen to hear from experienced data and insight specialists looking to further their career. As a Senior Client Insight Analyst, you'll be More ❯

track emerging trends in travel and ecommerce. Prioritise for impact: Focus effort on opportunities that matter most for growth, balancing effort, feasibility, and potential impact. Analyse behaviour: Use GA4, BigQuery, Clarity, and other tools to uncover drop-offs and pain points, combining quantitative and qualitative insight. Collaborate across teams: Partner with Design, Engineering, Marketing, and Supply to move tests More ❯

JOB TITLE: Product Intelligence Analyst SALARY: £70,900pa to £107,000pa (dependent on location and experience) plus an extensive benefits package. LOCATION: Bristol or London HOURS: 35 hours per week WORKING PATTERN: Hybrid, 40% (or two days) in one of More ❯

Product Intelligence Analyst page is loaded Product Intelligence Analystlocations: London 25 Gresham Street: Bristol Harboursidetime type: Full timeposted on: Posted Todaytime left to apply: End Date: November 9, 2025 (15 days left to apply)job requisition id: 137188 End Date More ❯

Full JD. What you’ll do Translate business requirements into scalable, well-structured data models and dashboards. Build and maintain Business Layers and data transformations using dbt , SQL , and BigQuery (GCP) . Develop and refine Tableau dashboards with strong UX and storytelling focus. Own data documentation, lineage, and governance using Atlan . Review and mentor on coding standards, testing … and best practice. Collaborate with Product, BI, and Data Architecture teams in an Agile setup (Jira). Tech environment dbt | SQL | BigQuery (GCP) | Tableau | Atlan | Git | Jira Ideal profile Expert in SQL and dbt with solid data modelling and warehousing experience. Proven experience delivering production-grade dashboards in Tableau. Strong understanding of data governance and data mesh principles. Confident More ❯