1 to 25 of 55 BigQuery Jobs in the South West

have had seven successful exits between them. As part of the core responsibilities, you will design and maintain robust data warehouse and data lake architectures using platforms like Google BigQuery, AWS, and Azure. You will also develop and manage ETL processes to ensure data quality and consistency. You will optimise data storage and retrieval and collaborate with Business Analysts 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 ❯

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 ❯

of data pipelines and resources. Knowledge, skills and experience Essential: Cloud Platforms: Experience with Azure, AWS, or Google Cloud for data engineering. Cloud Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or similar. Data Modelling & Warehousing: Experience with cloud-based data architecture. CI/CD & DevOps: Knowledge of Terraform More ❯

and cloud resources. Knowledge, skills and experience Essential: Cloud Platforms: Demonstrable experience with Azure, AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience with modern cloud-based data architecture More ❯

pipelines and cloud resources. Knowledge, skills and experience Cloud Platforms: Demonstrable experience with Azure, AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience with modern cloud-based data architecture More ❯

Experience as a Data Product Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT More ❯

Qualifications Strong experience as a Product Owner or Data Product Owner in Agile environments. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong understanding of data quality frameworks More ❯

analysis of website and app performance, user behavior, and conversion rates to uncover actionable insights. Deep understanding of attribution, funnel analytics and performance measurement for digital channels. Utilize Google BigQuery and our internal orchestrator platforms to create and maintain data sets that support sophisticated analytics and reporting capabilities. Mentoring junior analysts and contributing to team upskilling through code reviews … Experience with GIT, developing and maintaining SQL & Python based orchestrator jobs for the relevant measurement data transformations. Comfortable navigating through big data in a cloud environment; prior experience with BigQuery and Google Cloud Platform is preferred. Expertise in using, maintaining and debugging issues with measurement tools like Google Analytics, Firebase, Snowplow etc. A natural collaborator with excellent communication skills More ❯

analysis of website and app performance, user behavior, and conversion rates to uncover actionable insights. Deep understanding of attribution, funnel analytics and performance measurement for digital channels Utilize Google BigQuery and our internal orchestrator platforms to create and maintain data sets that support sophisticated analytics and reporting capabilities. Mentoring junior analysts and contributing to team upskilling through code reviews … Experience with GIT, developing and maintaining SQL & Python based orchestrator jobs for the relevant measurement data transformations. Comfortable navigating through big data in a cloud environment, prior experience with bigquery and google cloud platform is preferred. Expertise in using, maintaining and debugging issues with measurement tools like Google Analytics, Firebase, Snowplow etc. A natural collaborator with excellent communication skills More ❯

testing principles to ensure code is fit for purpose Experience that will put you ahead of the curve Experience using Python on Google Cloud Platform for Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure SQL development skills Experience using Dataform or dbt Demonstrated strength in data modelling, ETL development, and data More ❯

platforms (Tableau, Power BI, Looker) to inform product decisions. About You Experienced Product Owner with strong exposure to data products and platforms. Delivery experience with enterprise data warehouses (Snowflake, BigQuery), lakes, and CDPs. Understanding of data pipelines, contracts, lineage, APIs, and data governance frameworks. Comfortable navigating GDPR, CCPA and other compliance requirements. Familiar with dbt, Airflow, and cloud platforms More ❯

infrastructure as code (IaC), automation, CI/CD pipelines, and application modernization on GCP. Serve as a subject matter expert on various GCP services, including Compute Engine, Kubernetes Engine, BigQuery, Cloud Storage, IAM, and more. Troubleshoot and resolve complex technical issues, providing expert guidance to project teams. Quality Assurance and Best Practices: Conduct regular reviews of project deliverables to … Solid understanding of networking principles and their application within GCP. Experience with containerization technologies (Docker, Kubernetes/GKE). Familiarity with data management and analytics services on GCP (e.g., BigQuery, Cloud Dataflow, Cloud Storage). Strong understanding of identity and access management (IAM) within GCP. Familiarity of different Cloud Platform like AWS, Azure is nice to have Consulting and More ❯

GCP trends. Qualifications and Experience Extensive experience as a BI Developer/Analytics Engineer, specialising in Looker (dashboarding, advanced LookML). Strong SQL proficiency with cloud data warehouses (e.g., BigQuery ). Solid understanding of data warehousing and modelling. Proven background in marketing data and analytics (e.g., campaign performance, web analytics). Experience translating business requirements into data visualisations. Familiarity More ❯

GCP trends. Qualifications and Experience Extensive experience as a BI Developer/Analytics Engineer, specialising in Looker (dashboarding, advanced LookML). Strong SQL proficiency with cloud data warehouses (e.g., BigQuery ). Solid understanding of data warehousing and modelling. Proven background in marketing data and analytics (e.g., campaign performance, web analytics). Experience translating business requirements into data visualisations. Familiarity More ❯

Senior Information Analyst Medical Research Council Head Office Salary: £36,650 annum Band: UKRI D Hours: Full time or Part time (minimum 30 hours per week) Contract Type: Open Ended. Location: Polaris House, Swindon, Wiltshire - Hybrid working available Closing Date More ❯

of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to learn about and use data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. Responsibilities You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services, and platforms. You have a More ❯

Agile environment. Deep technical expertise in software and data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Knowledge of container technologies (Docker, Kubernetes), IaaC (Terraform) and experience with cloud platforms such as GCP. Detailed understanding of automated CI/CD pipelines and experience More ❯

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. The Medical Research Council (MRC) Salary: £31,931 Hours: Full time or Part time (minimum 30 hours per week) Contract More ❯

Senior Information Analyst Medical Research Council – Head Office Salary: £36,650 annum Band: UKRI D Team: Evaluation and Analysis Team Reports to: MRC Lead Analyst Hours: Full time or Part time (minimum 30 hours per week) Contract Type: Open Ended. More ❯

such as Google Search Console, Ahrefs etc Good knowledge of commercial optimisation Desirable Qualities: Good knowledge of Python, data analytics libraries, REST/RESTful APIs, Google Cloud Platform (GCP), BigQuery, Relational databases is a plus Familiarity with current trends in Analytics, Ecommerce, AI Search, LLMs, Marketing would be desirable Consistent and a proactive contribution to improve the user experience More ❯

projects and shape strategy A supportive environment that encourages growth and innovation What we’re looking for: 5+ years of experience in data analytics with advanced SQL skills (Snowflake, BigQuery, etc.) Strong experience with BI tools – ideally Looker (LookML a definite plus) Excellent communication skills and the confidence to engage with cross-functional teams A problem-solver with a More ❯

projects and shape strategy A supportive environment that encourages growth and innovation What we’re looking for: 5+ years of experience in data analytics with advanced SQL skills (Snowflake, BigQuery, etc.) Strong experience with BI tools – ideally Looker (LookML a definite plus) Excellent communication skills and the confidence to engage with cross-functional teams A problem-solver with a More ❯

projects and shape strategy A supportive environment that encourages growth and innovation What we’re looking for: 5+ years of experience in data analytics with advanced SQL skills (Snowflake, BigQuery, etc.) Strong experience with BI tools – ideally Looker (LookML a definite plus) Excellent communication skills and the confidence to engage with cross-functional teams A problem-solver with a More ❯

team and leadership skills to support, motivate and coach team members Highly proficient with SQL, data modelling and ETL processes Proficient with the Google tech stack or similar i.e. BigQuery, Dataform, Looker/Looker (Data) Studio What's In It For You The expected range for this role is £48,000 - £65,000. This is a Hybrid role from More ❯