51 to 75 of 341 BigQuery Jobs in the UK

similar notebook environments) for deeper ad-hoc analysis, exploratory data work, and building repeatable analytical workflows Query and interpret the GA4 export dataset in BigQuery, working directly with the raw event-level schema to support campaign measurement, attribution, and web/app behavioural analysis Build and maintain Excel-based ...

data owners, keeping delivery aligned to business priorities. Architect, build, and scale robust data pipelines using Python and SQL across platforms such as BigQuery and PostgreSQL. Work within established team standards for data extraction, complex aggregation, and resilient exception management, contributing to their ongoing improvement. Statistical Analysis & Quality Apply ...

platforms to build and manage automated data pipelines.Cloud Data Platforms: Hands-on experience with Snowflake (highly desirable) or similar cloud-based data warehouses (e.g., BigQuery, Redshift).Additional Programming: Knowledge of C# and experience working within a .NET environment.AI Tooling: Experiencing utilising AI-assisted development tools, such as Github Copilot ...

ideally Airflow (or other orchestration tools)Extensive experience in Entity-Relationship modelling and Dimensional modellingExperience with Cloud Data Warehousing (eg Snowflake, Databricks or BigQuery) and Cloud (AWS, GCP or Azure)Familiarity with TableauExcellent communication and problem solving skills and the ability to translate business requirements into technical requirementsAble ...

automation, or enterprise data architecture.Knowledge of public cloud platforms such as AWS, Azure,or GCP, and exposure to cloud data platforms such asSnowflake, Databricks, BigQuery, Redshift, or MicrosoftFabric. Relevant certifications are a plus, although not arequirement.Strong understanding of analytics workflows, dataintegration, data governance, automation, and howmodern analytics solutions ...

data services ( S3, Athena, Glue )Experience with Airflow for scheduling and orchestrating workflowsExperience working with data lakes or modern data warehouses (Snowflake, Redshift, BigQuery)A pragmatic problem solver who can balance technical excellence with business needsAble to architect custom AI solutions and smart automated systems that are safe, maintainable ...

prevention, and model governance. Tech Stack Python, SQL, pandas/numpy/scipy, PyTorch/sklearn Airflow/dbt, Kafka (or equivalents), Postgres/BigQuery Docker, Kubernetes (optional), CI/CD (GitHub Actions) Observability: Prometheus/Grafana, OpenTelemetry (or equivalents) Locations and Right to work This role ...

shaping those changes. The ability to learn new tools matters more than experience with any specific one. DBT for data modelling and transformation BigQuery data warehouse Kafka for data streaming between systems PostgreSQL & MongoDB for databases Typescript/Node.JS on the backend Kubernetes Python Segment for customer-centric event ...

data solutionsFamiliarity with cloud data platforms providers (e.g., AWS, Azure, GCP, Snowflake, Databricks) and their data and AI services (e.g., S3, Azure Data Lake, BigQuery, Azure ML, Vertex AI)Connect to your business - Technology and TransformationDistinctive thinking, deep expertise, innovation and collaborative working. That’s what connects us. That ...

their expertise and understanding.QualificationsTo be successful in this role, you will need to have:Experience delivering and deploying production-ready data processing solutions using BigQuery, Pub/Sub, Dataflow and DataprocExperience developing end-to-end solutions using batch and streaming frameworks such as Apache Spark and Apache Beam.Expert understanding ...

stakeholders & will translate business requirements into Data Science deliverables. The opportunity to work with leading data engineering technologies, including Google Vertex AI tools, Google BigQuery, BigQuery Pipelines, and Airflow, with leading Data Science tools and emerging technologies for model building and deployment. Opportunities to develop your career ...

work. Unlock the power of data and AI – Build intelligent tools that make the most of our Google Cloud Platform (GCP), BigQuery and AI capabilities, helping colleagues make better decisions and deliver greater value to clients. Champion engineering excellence – Develop high‐quality, well‐tested solutions using modern software engineering ...

work. Unlock the power of data and AI – Build intelligent tools that make the most of our Google Cloud Platform (GCP), BigQuery and AI capabilities, helping colleagues make better decisions and deliver greater value to clients. Champion engineering excellence – Develop high‐quality, well‐tested solutions using modern software engineering ...

technologies (although we do not expect applicants to have prior experience of all them):Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousingPyData stack for model development and offline deploymentGoogle Vertex AI platform for cloud computingAWS for backend infrastructure ...

technologies (although we do not expect applicants to have prior experience of all them):Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousingPyData stack for model development and offline deploymentGoogle Vertex AI platform for cloud computingAWS for backend infrastructure ...

technologies (note we do not expect applicants to have prior experience of all them):Google Cloud Platform for all of our analytics infrastructuredbt and BigQuery SQL for our data modelling and warehousingPython for data science and machine learningGo to write our application codeAWS for most of our backend infrastructureThe ...

technologies (note we do not expect applicants to have prior experience of all them):Google Cloud Platform for all of our analytics infrastructuredbt and BigQuery SQL for our data modelling and warehousingPython for data science and machine learningGo to write our application codeAWS for most of our backend infrastructureThe ...

years in analytics/data engineering or marketing analytics engineering rolesExpertise in GTM/GA4/GMP/Meta tracking; strong SQL, experience with BigQuery or equivalentHands on APIsProficiency with dashboarding (Looker studio/Tableau) and at least one scripting language (Python or R)MMM/Attribution exposure (Robyn ...

data science products from concept through to production or repeatable business use. Experience working with cloud-based analytical platforms such as Databricks, Snowflake, Google BigQuery or similar. Experienced in modern, agile data science delivery using version control, CI/CD, and cloud-based tooling. Strong understanding of code quality ...

reinforcement learning methods alongside experience working with foundation models and prompt engineering Practical experience with GCP services or AWS equivalent such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc Practical experience with CI/CD for AI/ML, model versioning, monitoring, and AI Ops practices ...

transformation and orchestration toolsBuilding semantic models or reusable business logic for BI, analytics or self-service reportingWorking in cloud data environments such as Databricks, BigQuery, Snowflake or similarApplying engineering practices to analytics, including Git, pull requests, testing, documentation and CI/CDImproving data quality, lineage, governance and trust across ...

Truth: A track record of successfully consolidating fragmented data environments and migrating legacy systems. Cloud Data Expertise: Deep knowledge of modern data stacks (e.g., BigQuery, Snowflake, or AWS) and BI tools (Looker/PowerBI). Data Governance Mastery: Experience defining global KPIs and implementing data quality frameworks that eliminate ...

Engineering experienceExcellent SQL skillsUnderstanding of data warehousing, data modelling concepts and structuring new data tablesKnowledge of cloud-based MPP data warehousing (e.g. Snowflake, BigQuery, Redshift)Nice to haveExperience developing in a BI tool (Looker or similar)Good practical understanding of version controlSQL ETL/ELT knowledge, experience with DAGs ...

market or enterprise accounts—comfortable in both exec-level conversations and deep technical design sessions.Familiarity with enterprise data environments: cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift), REST/GraphQL APIs, and common ERP or CRM platforms.Comfort with modern deployment practices: CI/CD, containerization (Docker/Kubernetes), cloud-native ...

surfaces you ship. Strong working knowledge of how to store and query large datasets at scale : SQL fundamentals; relational (e.g., Postgres), analytical (e.g., BigQuery, Snowflake), and embedded (e.g., SQLite) stores; and object storage with caching layers. Familiarity with ML workflow orchestration and experiment tracking (e.g., Kubeflow Pipelines, MLflow). ...