251 to 275 of 445 BigQuery Jobs in the UK

Data Warehousing, Business Intelligence, Machine Learning). Data Ecosystems: Familiarity with modern data architectures and tools, such as Big Data frameworks (Hadoop, Spark, Hive, BigQuery), Data Warehouses, and Machine Learning. Role Qualifications Industry Experience: 10+ years of experience in the Manufacturing and broader industrial supply chain environment. Sales Track ...

obsessive about data quality and forecast accuracy – you hold models accountable for their predictions You're fluent in SQL and experienced with dbt/BigQuery – you can build and maintain analytical models You've built dashboards that are operationally critical, not just 'nice to have' You have a passion ...

Data Warehousing, Business Intelligence, Machine Learning). Data Ecosystems: Familiarity with modern data architectures and tools, such as Big Data frameworks (Hadoop, Spark, Hive, BigQuery), Data Warehouses, and Machine Learning. Role Qualifications Industry Experience: 10+ years of experience in the Manufacturing and broader industrial supply chain environment. Sales Track ...

Technology We're pragmatic about our technology choices. These are some of the things we use now: Python, NodeJS TypeScript, React, styled components PostgreSQL, BigQuery, MySQL Jest, React Testing Library, Cypress, pytest AWS, GCP Docker, Terraform, GitHub, CircleCI How we expect you to work We expect you to work ...

certifications (Administrator, Platform Developer I, Agentforce Specialist) Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery) Prior customer-facing technical delivery (consulting, FDE, professional services) Accommodations We are a recognised Disability Confident member under the UK Government Disability Confident employer ...

certifications (Administrator, Platform Developer I, Agentforce Specialist) Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery) Prior customer-facing technical delivery (consulting, FDE, professional services) *LI-Y Unleash Your Potential When you join Salesforce, you'll be limitless ...

reverse logistics from customer to assessment centre Lead or support business review meetings with partners, taking ownership of key sections. Use AI tools (Claude, BigQuery, SQL) to build automation that removes manual effort from performance tracking and reporting Identify and act on emerging delivery risks - delays, lost-in-transit ...

data (Apollo, Clearbit, ZoomInfo, Cognism, PredictLeads), signal and intent (6sense, Bombora, UserGems), sequencing (Outreach, Salesloft), orchestration (n8n, Make, Workato), data infrastructure (Snowflake, dbt, BigQuery) and LLM and agent tooling. Nobody has all of it. We care that you have real depth somewhere and can learn the rest quickly. Commercial ...

Design, develop, test, deploy, and maintain scalable ETL/ELT pipelines for structured and unstructured data. Build batch and real-time processing solutions using BigQuery, Dataflow, Cloud Storage, Pub/Sub, and related GCP services. Develop data-processing components and integrations using Java or Python, SQL, REST APIs, Kafka … containerized services on GKE. Implement reusable ingestion and transformation frameworks supporting full, incremental, and event-driven loads. Design data models and optimize BigQuery tables through partitioning, clustering, efficient SQL, and cost-aware processing patterns. Produce high-level and low-level technical designs, document assumptions, and contribute to architecture reviews. ...

deliver — and often lead — analytics and data engineering projects, including: Configuring and implementing cloud and database infrastructure using tools such as Google Cloud, Google BigQuery and Google Cloud SQL Transforming and modelling data using tools such as dbt, Dataform and Cube Developing dashboards, explorations and data visualisations using tools … engineering work with client and business goals. What We're Looking For Must-Haves: Real-world commercial experience with Google Cloud, Looker, dbt, Google BigQuery Experience in a consulting role and a strong ability to manage multiple concurrent engagements Outstanding analytical, problem-solving and technical skills, a head ...

Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies. Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions, ensuring … least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern cloud environments. ...

generate revenue - including ARR, retention, pipeline, churn, and renewals. You will work with data from Salesforce and subscription billing systems, model it in BigQuery, and serve it through Looker and AI-assisted tools. This role sits between data engineering and commercial analytics. One week you might be fixing … opportunity to own the numbers that commercial and finance teams rely on to make decisions. Responsibilities Own and maintain governed revenue datasets in BigQuery, powering ARR, GRR, NRR, pipeline, churn, and renewal reporting across Sales, Customer Success, RevOps, and Finance. Model data from Salesforce and subscription billing systems into ...

contribute wherever your expertise can have the greatest impact. Our application data lives primarily in CockroachDB, with a modern data platform built around BigQuery, dbt, Airflow and pub/sub. Data flows both ways: into analytics and modelling, and back into the products our customers use. That culture translates … comfortable working beyond a narrowly defined specialism when that is what the problem requires. Experience that will set you apart Experience with BigQuery, Airflow and dbt, or equivalent modern data technologies. Experience with CockroachDB, Postgres or other distributed/relational databases, including CDC or event-driven data pipelines. Knowledge ...

deploy cloud-native AI solutions using Gemini Enterprise and Google Cloud services in enterprise environments. The role requires hands-on delivery of GKE, BigQuery, Cloud Run and Cloud Storage, plus experience with IaC (Terraform) and CI/CD. You will document architectures and work with security policies to ensure ...

gambling company, seeks a Senior Regulatory Data Developer in Manchester. You will modernise legacy SQL Server systems into scalable Google Cloud Platform architectures, designing BigQuery and Dataform pipelines and mentoring engineers. The role includes leading major regulatory data workstreams, building robust reporting systems on SQL Server ...

modernise reporting pipelines and build scalable cloud architectures in Google Cloud Platform. You will lead the transformation of legacy SQL Server systems into BigQuery/Dataform pipelines and mentor engineers while embracing AI-assisted development tools. The role is full-time with a hybrid work-from-home policy, supporting ...

Experience implementing SCIM provisioning. Familiarity with Active Directory, Microsoft Entra ID and Google Workspace. Practical PowerShell scripting and Terraform experience. Experience building dashboards using BigQuery, Looker Studio or comparable data visualisation tools. Proficiency with Google Sheets. Understanding of DNS, SSL certificates and Okta security best practices. Strong troubleshooting, documentation ...

Required At least two years in a research, analytics or numbers-focused marketing role Strong numeracy and excellent Excel skills Experience with Google Analytics, BigQuery or Looker Studio, or of agency or multi-project work, would be a real advantage Salary & Benefits to £40,000 depending on experience. Fully ...

developer code-first graph-based sub-agent networks). Data Grounding: Defining how agents safely connect to enterprise data sources (e.g., BigQuery, Google Workspace, or third-party CRM/ERP systems) using secure connectors. Integrations: Utilizing the Agent2Agent (A2A) protocol to ensure a Google agent can seamlessly hand ...

e.g., contract testing,end-to-end testing across the full stack). Experiencewith large-scale data processing or streaming technologies on GCP (e.g.,Dataflow, BigQuery). #J-18808-Ljbffr ...

Support. Expect to manage multiple customer engagements, develop prototypes, and articulate business value of Sigma. You will work with cloud data warehouses (Snowflake, Redshift, BigQuery), ETL tools, and modern BI to drive enterprise sales cycles. #J-18808-Ljbffr ...

professional to develop high-quality data models and ensure data reliability in analytics workflows. Ideal candidates will possess advanced SQL skills, familiarity with GCP BigQuery, and experience in Agile environments. This role emphasizes collaboration with stakeholders and problem-solving skills to enhance data solutions and support business needs, offering ...

data stack and transform complex data into actionable insights. You will collaborate with cross-functional teams, model data workflows, and develop dbt models against BigQuery to enable data-driven decisions. You will implement rigorous testing, CI/CD, and documentation while leveraging AI tools to accelerate development and ensure ...

home policy. You will line-manage data engineers, drive sprint cycles, translate business requirements into robust data solutions and ensure data governance. Experience with BigQuery, GCP, Looker, Airflow and SQL Server is highly valued. #J-18808-Ljbffr ...

across Python and Go , with Java or Scala as valuable secondaries. Cloud Native Expertise: Extensive experience with the GCP Stack (GKE, Pub/Sub, BigQuery, Dataflow, Cloud Functions) and event-driven architectures. Infrastructure as Code: Deep understanding of automated infrastructure deployment using Terraform and container orchestration via Kubernetes. Systems ...