21 of 21 BigQuery Jobs in Yorkshire

confidence reviewing, optimising, and assuring the quality of complex transformations Experience working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse Experience working in a cloud environment (AWS, GCP, or Azure), with exposure to services such as cloud storage and orchestration Demonstrable ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security ...

technical business users. Delivery Frameworks: Comfortable working within Agile and Waterfall project delivery methodologies. Desirable: Cloud Infrastructure: Hands-on experience with Google Cloud Platform (BigQuery, GCP storage) or equivalent cloud providers (AWS/Azure). Programming Languages: Proficiency in Python, R, or general-purpose scripting languages. Analytics Tools: Exposure ...

Waterfall delivery methodologies and scoping Minimum Viable Products (MVPs). Desirable: Cloud Platforms: Hands-on experience deploying data science solutions on Google Cloud Platform (BigQuery, Vertex AI, GCP storage) or AWS/Azure. Advanced Data Science Techniques: Exposure to advanced methods such as Natural Language Processing (NLP), deep learning ...

skills and experience with relational data modelling and optimisation Hands-on experience with cloud data tooling and services (e.g. Google Cloud Platform, including BigQuery or equivalent) Strong coding capability in Python with solid software engineering practices (version control, testing, CI/CD where applicable) Experience with enterprise data technologies ...

least one scripting language (Python, JavaScript, or similar) Experience working with APIs, webhooks, and system integrations Familiarity with modern data stacks (e.g., Snowflake, Databricks, BigQuery) and ETL workflows Experience in cloud environments (AWS, Azure, or GCP) Ability to translate complex technical concepts into clear business outcomes for both technical ...

builds· Deep expertise across a broad range of Google Cloud services, including but not limited to: Compute Engine, Google Kubernetes Engine (GKE), Cloud SQL, BigQuery, Dataflow, Cloud Storage, VPC, IAM, Cloud Functions, Cloud Run, and Apigee.· Demonstrable experience with AI/ML services on Google Cloud, with a strong ...

data warehouse, enabling analytics across the business. The ideal candidate has strong SQL, Python, and experience with cloud data tooling (GCP/BigQuery), data governance, metadata and lineage, and agile delivery using JIRA and Confluence. #J-18808-Ljbffr ...

technical solutions. Desired: Experience with server-side Google Tag Manager. Experience with Google Cloud Platform. Experience with Firebase and mobile app measurement. Knowledge of BigQuery and SQL. Experience with APIs and data integrations. Experience with value-based bidding or conversion value enrichment. Knowledge of Adobe measurement technologies. Exposure ...

data analysis skills. Experience with source-to-target mapping and data requirement definition. GCP & Technology Working knowledge of GCP data services , particularly BigQuery #J-18808-Ljbffr ...

code . This role is evenly split between infrastructure automation and data pipeline development. You will write clean pipeline code to ingest data into BigQuery , while using Terraform to provision and scale our infrastructure. Your work will directly impact the speed, reliability, and security of data delivered to Looker … days per week at our head office. Key Responsibilities Infrastructure Automation & IaC (50%) Provision GCP Infrastructure: Write and maintain Terraform scripts to provision BigQuery datasets, Cloud Storage buckets, IAM roles, and compute resources. Maintain Platform Security: Implement fine-grained access control, column-level security in BigQuery, and secure ...

MANNING SERVICES LIMITED seeks a data analytics professional with SAS expertise to lead data migration projects to GCP, focusing on banking and risk analytics use cases. The role requires travel to Halifax twice every alternate ...

code . This role is evenly split between infrastructure automation and data pipeline development. You will write clean pipeline code to ingest data into BigQuery, while using Terraform to provision and scale our infrastructure. Your work will directly impact the speed, reliability, and security of data delivered to Looker … days per week at our head office. Key Responsibilities Infrastructure Automation & IaC (50%) Provision GCP Infrastructure: Write and maintain Terraform scripts to provision BigQuery datasets, Cloud Storage buckets, IAM roles, and compute resources. Maintain Platform Security: Implement fine-grained access control, column-level security in BigQuery, and secure ...

technical client and have them understand it Server‐side GTM experience Familiarity with consent management platforms (OneTrust, Cookiebot, or similar) Exposure to BigQuery and SQL, or an interest in building toward it Experience with the Conversions API or other server‐to‐server tracking methods Pension - Matched ...

really useful: Integrating and analysing data from multiple sources to solve complex business problems Python for data analysis, automation or process improvement Working with BigQuery and data platforms within Google Cloud Using AI-powered tools to accelerate development and improve efficiency About working for us Our ambition ...

greenfield enterprise knowledge management program. You’ll shape target-state architecture, build scalable ETL/ELT pipelines and develop knowledge graphs with GCP, BigQuery, Spanner and Neo4j. Hybrid working model (Manchester/Edinburgh/Leeds) with about 2 days onsite per week, and a 2–3 year scope subject ...

Title: Senior Data Engineer/Data Modeller (GCP & BigQuery) Job Description This role focuses on designing and delivering the data foundations for a cloud-based Operational Resilience platform. You will identify, source, structure, and model data within Google Cloud Platform (GCP), primarily using BigQuery, to create high-quality … purpose as business needs grow. Essential Skills Strong, hands-on experience working within Google Cloud Platform (GCP) in data-focused roles. Proven experience with BigQuery data architecture and data modelling in a production environment. Extensive experience in data modelling, including the design of conceptual, logical, and physical data models. ...

What you’ll be doing Design and develop scalable ETL/ELT data pipelines across multiple enterprise sources. Build enterprise data solutions using GCP, BigQuery, Google Spanner, Neo4j and Vector Databases. Develop Knowledge Graphs and data models to connect enterprise entities and knowledge assets. Build and optimise search … Governance teams. What we’re looking for Strong GCP experience. Strong ETL/ELT experience. Experience working with complex, cloud-native data environments. BigQuery experience. Kafka/event-driven architectures. Neo4j/Knowledge Graphs. AI/LLM and RAG solutions. Enterprise search and indexing. Data governance and regulatory environments. ...

Strong Kafka/event-driven architecture experience Experience working within large-scale enterprise environments Exposure to AI/LLM and RAG solutions Experience with BigQuery, vector databases, graph technologies or enterprise search would be beneficial This is an excellent opportunity to work on a major enterprise programme … Generative AI/GenAI/LLM/Large Language Models/RAG/Retrieval-Augmented Generation/ETL/ELT/Data Pipelines/BigQuery/Vector Databases/Enterprise Search/Data Engineering/Enterprise Data #J-18808-Ljbffr ...

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 ...