576 to 600 of 640 BigQuery Jobs

engineering squad, setting standards for data modelling, validation, and usage across the Lending domain.Principal AccountabilitiesData Product OwnershipOwn and evolve the Lending data model across BigQuery and LookerDeliver standardised, scalable data models (gold + semantic layers)Ensure data models accurately reflect lending business logic and requirementsDrive data quality, validation … enable self-serve analytics and GenAI use casesSupport the organisation’s transition to GCP and Looker platformsPersonal Attributes & ExperienceTechnicalStrong SQL and data modelling experience (BigQuery or similar preferred)Experience working with BI semantic layers (Looker preferred)Proven ability to design and deliver scalable data modelsDomain & Problem SolvingStrong understanding ...

chain partners have accurate, real-time reporting.Technical Contribution (The "Player" element)Hands-on Modelling: Lead by example by contributing to our dbt projects and BigQuery environment.System Evolution: Oversee critical data initiatives such as system migrations (CRM/Billing) and the adoption of best-in-class observability toolsWhat You Will … senior leadership.Strategic Vision: Experience balancing immediate "high-impact" business needs with long-term technical health and debt management.Nice to HaveTech Stack Proficiency: Familiarity with BigQuery, Looker (LookML), and GitHub.Experience with Salesforce data integration.Experience working with Agile methodologies using tools such as Jira.Familiarity with orchestration and observability tools like Airflow ...

building and maintaining the data pipelines, domain datasets and platform architecture that underpin analytics across Beauty and NutritionOwn the evolution of our GCP/BigQuery platform — from how data is ingested and stored, to how it is structured for downstream consumptionSet engineering standards — version control, testing, error handling, documentation … data platform or data leadership roles, with at least 3 years at a senior or head-of levelDeep hands-on experience with GCP and BigQuery — you must have built and scaled data platforms on this stackExperience across multiple data domains — ideally at least two of Customer, Commercial and OperationsProven ...

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open ...

Principal accountabilities and responsibilities: Lead product delivery of data foundations for Operational Resilience , providing a governed, reusable data layer that underpins how the bank measures resilience, maps service dependencies and tests scenario assumptions across Procurement ...

environment and drive Data as a Product practices as code. You will split time between infrastructure automation and data pipeline development, ingesting data into BigQuery and provisioning with Terraform. Role requires 3–5 years in a combined DevOps and Data Engineering capacity, strong GCP experience, and SQL/Python ...

conversion funnels, and retention patterns to identify growth opportunities for both our product squads and commercial teams (Casino/Sportsbook) Drive the GA4 + BigQuery Ecosystem: Go beyond the standard GA4 UI. Query raw, large-scale event data in BigQuery to uncover deep user insights and stitch data … clean, complex, and optimised queries to manipulate massive datasets Expertise in GA4 & BigQuery: Essential experience working with GA4 raw data schemas within Google BigQuery (unnesting events, handling heavy clickstream data) Strong proficiency in Tagging (Client & Server-Side): Strong hands-on experience with Google Tag Manager, including Server-Side ...

pipelines handling large volumes of data. Developing cloud-native applications and services using Python, Go and BASH . Working extensively with GCP technologies , including BigQuery, Pub/Sub and Dataflow . Building and integrating APIs, services and automated workflows across the data platform. Writing reusable, maintainable and well-tested … Python , ideally alongside Go and BASH . Strong experience building applications, services and data pipelines within Google Cloud Platform . Hands-on knowledge of BigQuery, Pub/Sub and Dataflow . Experience designing and developing scalable ETL/data processing solutions . Good understanding of software engineering principles , testing ...

Infrastructure-as-Code - Terraform, Terragrunt, and Atlantis CI/CD - GitLab Pipelines, ArgoCD, Octopus Deploy Data - ElasticSearch hosted with Kubernetes Operator, PostgreSQL, SQL Server, BigQuery Monitoring and Security - Splunk, Grafana/Grafana Tempo, OpenTelemetry, Cloud Armor Enterprise, OpsGenie, Renovate, Sentry AI Tools - Claude, Amazon Bedrock, Gemini, Vertex … cloud helps and where it hurts Working knowledge of Google Cloud security best practices and IAM implementation Experience with Google Cloud data services including BigQuery and Dataflow Experience with cloud cost management (budgeting, anomaly detection, cost analysis and reporting) Experience working on a geographically distributed team across time zones ...

measuring impact. Analyse organic performance using Google Search Console, Ahrefs, Oncrawl, Screaming Frog, and other SEO tools. Work with large datasets (SQL and BigQuery are a plus) to uncover opportunities beyond standard reporting. Partner with engineering and product teams to ship technical improvements that move the needle. Drive international … what to change. Nice to Have Experience working on large-scale websites such as ecommerce, SaaS, marketplaces, or publisher platforms. SQL and/or BigQuery experience. Experience with BI tools such as Looker Studio, Tableau, or Power BI. Familiarity with SEO testing or experimentation frameworks. What ...

ship is accurate and trusted.You will partner closely with the engineering side of your team on how data is modelled and structured in BigQuery and DBT, and with analysts on how it gets presented in Looker. You don't need to write production code, but you need enough technical … dataHands-on experience with Looker and LookML and familiarity with best practices and scalable approaches to these systemsWorking knowledge of SQL, DBT and BigQuery, enough to engage seriously with how data is modelled and what's feasible, and to express your thinking in code-speak where neededExperience working with ...

lifecycle tooling.Experience with tooling for monitoring, logging and alerting e.g. Splunk, New Relic or Grafana.Experience of technologies such as Apache Spark, Databricks, Snowflake, or BigQuery to transform big-data optimised for Tesco scaleExperience building solutions that run in the cloud, ideally Azure.Experience with software development methodologies including Scrum & Kanban.About … lifecycle tooling.Experience with tooling for monitoring, logging and alerting e.g. Splunk, New Relic or Grafana.Experience of technologies such as Apache Spark, Databricks, Snowflake, or BigQuery to transform big-data optimised for Tesco scaleExperience building solutions that run in the cloud, ideally Azure.Experience with software development methodologies including Scrum & Kanban. ...

Head of Data & Analytics role with one of Europe’s leading Digital Marketplace scale-ups, backed by some of europe’s top Venture Capital firms – set to grow 300% in the next 18 months. With ...

Greater London550 - 595 per day + Inside IR35 ContractSenior Full Stack DeveloperUp to 595/day (inside IR35)London – onsite circa 2-3x per weekDuration: contract runs until end of JanuaryWe are representing an ...

Junior Solution Engineer – Investment Management65k Plus BonusQuant Capital is urgently looking for a Junior Solution Engineer to join our high profile client.Our client is well known FinTech software development firm providing state-of-the-art ...

Menzies is seeking a senior data engineering lead to design and deliver scalable, secure data pipelines into BigQuery and related GCP services. You will shape the engineering approach, set standards for data modelling, testing, and cost optimisation, and partner with teams to deliver reusable data products. You will mentor … promote governance and data quality by design. Ideal candidates have 5+ years in data engineering, strong SQL/Python skills, and deep knowledge of BigQuery, #J-18808-Ljbffr ...

Wpromote is seeking a senior data engineer to own the end-to-end design, development, deployment, and support of data pipelines using BigQuery, dbt, and Python. You will partner with client teams to translate complex B2B marketing and sales requirements into reliable data solutions. You will build scalable data ...

Vertex AI, Model Garden, and GeminiDevelop Agentic AI systems and intelligent automation workflowsDesign data platforms and pipelines, including ingestion, transformation, and serving layers using BigQuery, Dataflow, Pub/Sub, and Cloud ComposerLead technical planning and execution of cloud migration and application modernisation programmes, including lift-and-shift, re-platforming … deliver solutions on Google Cloud Platform across infrastructure, data, and application domainsPractical experience with AI/ML workloads on Google Cloud, including Vertex AI, BigQuery ML, or Gemini-based toolingStrong understanding of data architecture principles, including designing data pipelines and analytical platforms (e.g. BigQuery, Dataflow, Pub/ ...

Model Garden, and Gemini Develop Agentic AI systems and intelligent automation workflows Design data platforms and pipelines, including ingestion, transformation, and serving layers using BigQuery, Dataflow, Pub/Sub, and Cloud Composer Lead technical planning and execution of cloud migration and application modernisation programmes, including lift-and-shift … solutions on Google Cloud Platform across infrastructure, data, and application domains Practical experience with AI/ML workloads on Google Cloud, including Vertex AI, BigQuery ML, or Gemini-based tooling Strong understanding of data architecture principles, including designing data pipelines and analytical platforms (e.g. BigQuery, Dataflow, Pub/ ...

conferences.Build and nurture strong, trusted-advisor relationships with startup CTOs, founders, lead architects, and engineering teams.Help customers design and scale modern data platforms using BigQuery, real-time streaming, and vector databases as the core foundation for their application logic and AI capabilities.Guide startups on implementing advanced AI workloads, including … startup, or equivalent experience navigating fast-paced startup lifecycles.Strong understanding of modern data warehouse architectures, real-time analytics, and data governance (e.g., BigQuery, Spark, Kafka).Deep technical expertise in Generative AI development (e.g., prompt engineering, model tuning, vector databases like Vertex AI Vector Search, and AI frameworks like LangChain ...

infrastructure that powers a category-defining financial intelligence product. The core stack is Go, Python, and GCP - you'll be working across Cloud Run, BigQuery, and Pub/Sub, helping to productionise financial models into scalable, API-driven services. Frontend exposure is useful but not a requirement. This … cloud role. Key Responsibilities Build and maintain scalable backend services in Go and Python Deploy and manage services on GCP, using Cloud Run, BigQuery, and Pub/Sub Contribute to the productionisation of financial intelligence models into API-driven services Implement robust data pipelines using batch/streaming architectures ...

startup, or equivalent experience navigating fast-paced startup lifecycles. Strong understanding of modern data warehouse architectures, real-time analytics, and data governance (e.g., BigQuery, Spark, Kafka). Deep technical expertise in Generative AI development (e.g., prompt engineering, model tuning, vector databases like Vertex AI Vector Search, and AI frameworks … nurture strong, trusted-advisor relationships with startup CTOs, founders, lead architects, and engineering teams. Help customers design and scale modern data platforms using BigQuery, real-time streaming, and vector databases as the core foundation for their application logic and AI capabilities. Guide startups on implementing advanced AI workloads, including ...

evolve the Lending data model across BigQuery and Looker Deliver standardised, scalable gold and semantic data layers Ensure data models reflect lending business logic and requirements Drive data quality, validation, and consistency across datasets Define and implement analytics engineering best practices for modelling, naming, documentation, and testing Lead design … self-serve analytics and GenAI use cases Support the organisation's transition to GCP and Looker platforms Requirements Strong SQL and data modelling experience; BigQuery or similar preferred Experience working with BI semantic layers; Looker preferred Proven ability to design and deliver scalable data models Strong understanding of data ...

Neptune, DocumentDB, MongoDB, or equivalent Exposure to vector search or pgvector for AI and GenAI workloads Experience with analytics platforms such as Databricks or BigQuery Familiarity with RAG pipelines, embedding stores, or modern AI data architectures Working knowledge of cloud security practices - IAM, least-privilege, data protection Exposure … Oracle) - useful context, but not the focus of this role Who You'll Work With Enterprise and Solution Architecture teams Data & Analytics platforms - Databricks, BigQuery Application development teams and product owners Cloud, security, and infrastructure teams Managed service providers and technology partners Additional info For US locations only ...

across data platforms, orchestration and analytics with cross-functional teams. The role involves delivering data pipelines with Dataflow, Dataproc and Pub/Sub, building BigQuery solutions, and implementing governance and security controls in a global, multi-vendor #J-18808-Ljbffr ...