9 of 9 Permanent BigQuery Jobs in Gloucestershire

data engineering best practices. Strong understanding of data modelling principles and experience designing data architectures for analytics and operational workloads. Deep familiarity with Google Cloud Platform (GCP) services including BigQuery, Cloud Storage and Dataflow. Demonstrated experience in leading large-scale data migrations to cloud-based data platforms. High level of data literacy: ability to translate business needs into technical More ❯

About You Strong experience as a Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics 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 ❯

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 ❯

with organizational stakeholders to understand data needs and deliver solutions that drive business value. What you need to fulfill the role GCP Expertise: Proven experience with GCP services like BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Composer, and Data Catalog. Data Architecture: Strong background in designing and implementing data architectures, including lakehouse models and open table formats More ❯

by authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You'll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You'll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. You'll work closely with our clients … data architectures on platforms like AWS, Azure, or GCP. Technical Skills Extensive experience with ETL/ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for analytics and reporting. Familiarity with version control, CI/CD pipelines, and containerisation tools More ❯

JOB TITLE: Product Intelligence Analyst LOCATION: Bristol or London HOURS: Full time WORKING PATTERN: Hybrid, 40% (or two days) in one of our office hubs mentioned above About this opportunity Do you want to be part of the largest transformation More ❯

Product Intelligence Analyst page is loaded Product Intelligence Analyst Apply locations Bristol London time type Full time posted on Posted Yesterday time left to apply End Date: August 9, 2025 (12 days left to apply) job requisition id 137188 End More ❯

of Infrastructure as Code, CI/CD and Source Code Management using tools such as Terraform, Jenkins, Harness and Github Strong understanding of GCP-native services such as GKE, BigQuery, Cloud Monitoring/Logging, Networking, Security and Identity & Access Management (IAM) Experience with Kubernetes, Docker and Helm Familiarity with GCP billing exports, BigQuery datasets, and cost management dashboards More ❯