76 to 100 of 282 BigQuery Jobs in England

FOI and public-sector procurement. Communication & Stakeholder Management : Able to translate technical concepts for non-tech executives; excellent leadership, mentoring and team-building skills. Performance Analytics : Google Analytics, Google BigQuery, Google Looker Studio, Google Tag Manager Domain experience in benefits or civic services (e.g. public sector). Previous contracting under SIFA or similar public-sector frameworks. Security clearance (BPSS More ❯

insights and propose solutions. Create engaging, interactive data visualization dashboards. Understand customer digital journeys and market dynamics. Conduct detailed data discovery and analysis on datasets such as GA4 and BigQuery to uncover insights. Lead our web tagging strategy in collaboration with digital teams. Consolidate existing reports into manageable dashboards. Work independently and as part of the BI team on More ❯

identify opportunities for process improvement and innovation. Recommend new tools, technologies, and methodologies to enhance data analysis and reporting capabilities. Who are we looking for? Expertise in Google Analytics, BigQuery & SQL Advanced knowledge of visualisation tools like Tableau (preferred) or PowerBI Basic knowledge of JavaScript preferred Experience in web analytics, with a focus on user behaviour, funnel analysis, conversion More ❯

effective, and support both operational and analytical workloads, leveraging cloud technologies (AWS, GCP, Azure). Hybrid Cloud & Data Migration Solutions- Implement cloud-based hybrid data architectures (e.g., Snowflake, Redshift, BigQuery), migrate legacy data systems. Developing innovative solutions: Lead the creation of PoCs and MVPs for Data platforms to host advanced analytics & AI solutions focusing on the needs and objectives More ❯

technical decisions and mentor junior engineers Collaborate across engineering, data science, and product teams to deliver business impact Skills & Experience: Expert in SQL , dbt , and cloud data warehouses (e.g., BigQuery, Redshift) Strong experience with Airflow , Python , and multi-cloud environments (AWS/GCP) Proven background in designing and scaling analytics solutions in agile environments Proven experience as an Analytics More ❯

infrastructure (design and lead implementation of enterprise-grade ETL and data pipeline solutions) Taking ownership of the data warehouse and related infrastructure Experience working with cloud platforms (such as BigQuery, Snowflake, Azure) Embedding data governance strategies InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from More ❯

£38000 - £48000 per annum + dependent on experience Location United Kingdom, Coventry Job Type Permanent Description Are you an Analyst with expertise in Tableau? Have you got a background in Business Intelligence with a track record of delivering solutions? My More ❯

communications both internally and with external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced More ❯

communications both internally and with external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced More ❯

Kafka, Apache Spark, Apache Flink, object, relational and NoSQL data stores. Hands-on experience with big data application development and cloud data warehousing (e.g. Hadoop, Spark, Redshift, Snowflake, GCP BigQuery) Expertise in building data architectures that support batch and streaming paradigms Experience with standards such as JSON, XML, YAML, Avro, Parquet Strong communication skills Open to learning new technologies More ❯

acquisition, retention, and expansion metrics and strategies Hands-on experience with Business Intelligence Platforms such as Tableau, Power BI, Looker, Domo, or similar Experience with cloud data warehouses (Snowflake, BigQuery, Databricks) and data pipeline management Demonstrated experience managing agile sprint cycles, particularly fortnightly delivery cadences Strong skills in managing relationships with senior stakeholders and cross-functional partners Benefits This More ❯

more data-informed decisions A bit about you: Solid experience in at least three of the key responsibility areas above Hands-on with tools like SQL, Python/R, BigQuery, Snowflake or similar Proficient in BI tools like Looker, Tableau or Power BI Excellent communication and stakeholder management skills Deep understanding of marketing data infrastructure and data collection best More ❯

more data-informed decisions A bit about you: Solid experience in at least three of the key responsibility areas above Hands-on with tools like SQL, Python/R, BigQuery, Snowflake or similar Proficient in BI tools like Looker, Tableau or Power BI Excellent communication and stakeholder management skills Deep understanding of marketing data infrastructure and data collection best More ❯

years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver More ❯

years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Senior Marketing Analyst - Insights & Analytics Hybrid Office of the CEO As a Senior Analyst within the Business Intelligence team you will be responsible for providing insight and analysis into the performance of our client's marketing strategies, the global digital More ❯

Key Skills: 7+ years of experience in data engineering or data architecture roles 3+ years of hands-on experience architecting data solutions on Google Cloud Platform Strong knowledge of BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Cloud Functions Proficient in data modeling, data warehousing, and ETL/ELT architectures Experience with Infrastructure as Code (e.g., Terraform, Deployment Manager … Strong communication skills (oral & written) Rights to work in the UK is a must (No Sponsorship available) Responsibilities: Design and implement enterprise-scale data architectures using GCP services like BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Dataproc Define data modeling standards, integration patterns, and governance frameworks Collaborate with stakeholders across engineering, analytics, product, and operations to understand requirements More ❯

Key Skills: 7+ years of experience in data engineering or data architecture roles 3+ years of hands-on experience architecting data solutions on Google Cloud Platform Strong knowledge of BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Cloud Functions Proficient in data modeling, data warehousing, and ETL/ELT architectures Experience with Infrastructure as Code (e.g., Terraform, Deployment Manager … Strong communication skills (oral & written) Rights to work in the UK is a must (No Sponsorship available) Responsibilities: Design and implement enterprise-scale data architectures using GCP services like BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Dataproc Define data modeling standards, integration patterns, and governance frameworks Collaborate with stakeholders across engineering, analytics, product, and operations to understand requirements More ❯

environment. Proficiency with digital analytics tools (e.g., Google Analytics or equivalent). Experience with visualization tools (e.g., Looker Studio, Power BI or equivalent). Experience with SQL environments (e.g., BigQuery, Databricks or equivalent). Strong analytical skills with the ability to draw concise insights from multiple data sets. Excellent stakeholder engagement and collaboration skills. Ability to manage multiple projects More ❯

minimal disruption to business operations. Optimize data storage and retrieval mechanisms across cloud-based databases, preferably Azure CosmosDB, Neo4j Graph DB (or similar technology e.g., Amazon RDS, Azure SQL, BigQuery, NoSQL). Architect microservices-based applications, ensuring modular, scalable, and API-first designs Design and implement application security controls, including IAM, Zero Trust models, encryption, and API security best More ❯

minimal disruption to business operations. Optimize data storage and retrieval mechanisms across cloud-based databases, preferably Azure CosmosDB, Neo4j Graph DB (or similar technology e.g., Amazon RDS, Azure SQL, BigQuery, NoSQL). Architect microservices-based applications, ensuring modular, scalable, and API-first designs Design and implement application security controls, including IAM, Zero Trust models, encryption, and API security best More ❯

data engineering teams Experience with cloud platforms such as Google Cloud, Azure or AWS, and their underlying data engineering services Experience with SQL and data warehouse technology such as BigQuery Coding experience in any language Experience of line management & coaching junior engineers Familiarity with DevOps practices and tools, including CI/CD pipelines and containerisation (Docker, Kubernetes) Familiarity with More ❯