1 to 25 of 102 BigQuery Jobs in the UK excluding London

to shape commercially viable and technically sound solutions. Enterprise Solution Design Architect and oversee the delivery of scalable data platforms (data lakes, lakehouses, warehouses) using GCP technologies such as BigQuery, Cloud Storage, Databricks, and Snowflake. Cloud Data Strategy Lead cloud migration and modernisation strategies using GCP and tools like Terraform, CI/CD pipelines, Azure DevOps, and GitHub. Data More ❯

big data platforms. • Knowledge of data modeling, replication, and query optimization. • Hands-on experience with SQL and NoSQL databases is desirable. • Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: • Comfortable operating in hybrid environments (cloud and on-prem). • Experience integrating diverse data sources and systems. • Understanding of secure data transfer protocols More ❯

big data platforms. • Knowledge of data modeling, replication, and query optimization. • Hands-on experience with SQL and NoSQL databases is desirable. • Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: • Comfortable operating in hybrid environments (cloud and on-prem). • Experience integrating diverse data sources and systems. • Understanding of secure data transfer protocols More ❯

beverages Requirements Highly proficient in SQL Highly proficient in Python Strong understanding of data modelling techniques, e.g. 3NF, Kimball Experience using cloud-based data platforms and infrastructure, e.g. Snowflake, BigQuery etc Experience building data integrations and understanding of best practices Understanding of the development lifecycle and best practices Desire to build relationships with an ability to deliver solutions to More ❯

and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration More ❯

engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologiesAnalytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration More ❯

Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership experience, with the ability to mentor, influence, and set technical More ❯

projects Understanding of data pipelines, ETL/ELT, or data warehousing Awareness of cloud platforms (e.g., AWS, Azure, or GCP) Understanding of modern data tools (e.g., dbt, Airflow, Snowflake, BigQuery) Version control tools (e.g., Git) What You’ll Gain Hands-on experience with a modern AI-enabled data stack in a real-world, production environment The chance to contribute More ❯

and Python . Strong grasp of ETL/ELT pipelines , data modeling , and data warehousing . Experience with cloud platforms (AWS, Azure, GCP) and tools like Snowflake, Databricks, or BigQuery . Familiarity with streaming technologies (Kafka, Spark Streaming, Flink) is a plus. Tools & Frameworks: Airflow, dbt, Prefect, CI/CD pipelines, Terraform. Mindset: Curious, data-obsessed, and driven to More ❯

Reporting and Data Engineering team in maintaining consistent and accurate data. What do we need from you? Experience with either relational SQL or analytics databases, including Postgres, Cassandra and BigQuery Familiarity with cloud-based technologies and deployment infrastructure such as GCP functions, Kubernetes & Terraform/Jenkins, CI/CD Git. Knowledge of Data Modelling, ETL development and Database/ More ❯

technical topics for non-technical audiences. Team player - Collaborative, curious, and happy to work in a self-organising, fast-paced environment. Nice-to-Have Skills : Experience with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). Familiarity with data orchestration tools (e.g., Airflow). Experience with data visualisation platforms (such as Preset.io/Apache Superset or More ❯

technical topics for non-technical audiences. Team player - Collaborative, curious, and happy to work in a self-organising, fast-paced environment. Nice-to-Have Skills : Experience with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). Familiarity with data orchestration tools (e.g., Airflow). Experience with data visualisation platforms (such as Preset.io/Apache Superset or More ❯

on growth & improvement. Experience of using digital analytics tools such as Google Analytics (or equivalent). A minimum of intermediate SQL ability with experience of using tools such Google BigQuery, Databricks (or equivalent). Use of visualisation tools (Looker Studio/Power BI/Tableau). Strong stakeholder engagement and ability to work collaboratively across multiple teams. Proactive nature More ❯

the delivery of clean, scalable data solutions that power high-impact research. Key Responsibilities Build and maintain data pipelines using modern tools on Google Cloud, including Python, Spark, SQL, BigQuery, and Cloud Storage. Ensure data pipelines meet the analytical and scientific needs of key applications. Deliver high-quality, production-grade code with testing and documentation. Develop, measure, and monitor More ❯

the delivery of clean, scalable data solutions that power high-impact research. Key Responsibilities Build and maintain data pipelines using modern tools on Google Cloud, including Python, Spark, SQL, BigQuery, and Cloud Storage. Ensure data pipelines meet the analytical and scientific needs of key applications. Deliver high-quality, production-grade code with testing and documentation. Develop, measure, and monitor More ❯

pipelines, including API integrations. Knowledge of Power BI semantic models (focused on table modelling; visualisation skills not required for the role). Familiarity or hands-on experience with Google BigQuery, GCP services, Airflow (GCP managed), and Databricks. Key responsibilities will include: Supporting BAU (Business-as-Usual) tasks. Leading a major project to rebuild two core APIs and their associated More ❯

stakeholders. Detail-oriented, with a focus on accuracy, scalability, and impact. Nice to Have Experience with A/B testing and experimentation platforms. Familiarity with cloud-based pipelines (e.g., BigQuery, AWS). Knowledge of marketing data sources such as GA4, Google Ads, Meta Ads, CRM. More ❯

overall customer experience. Drive a data-led approach with clear KPIs across channels. Ensure accurate tracking, reporting, and resolution of analytics issues. Manage BI and reporting (Power BI, SQL, BigQuery) plus data integration and automation via APIs and connectors. Monitor trends and emerging tech (AI, personalisation, omnichannel) to enhance digital capabilities. Implement tools and processes to improve efficiency, tracking More ❯

Excellent written and verbal communication skills; presentation skills preferred. Proficiency in Collibra APIs, Java, Groovy, and REST integrations. Strong SQL knowledge and familiarity with common databases (Oracle, PostgreSQL, DB2, BigQuery, etc.). Experience with ETL/ELT tools (Informatica, DataStage, etc.) and BI platforms (Qlik, Power BI, etc.). Understanding of metadata standards, data lineage, reference data, and business More ❯

Excellent written and verbal communication skills; presentation skills preferred. Proficiency in Collibra APIs, Java, Groovy, and REST integrations. Strong SQL knowledge and familiarity with common databases (Oracle, PostgreSQL, DB2, BigQuery, etc.). Experience with ETL/ELT tools (Informatica, DataStage, etc.) and BI platforms (Qlik, Power BI, etc.). Understanding of metadata standards, data lineage, reference data, and business More ❯

deliver end-to-end data products. Mentor mid-level analysts and contribute to capability-building across the Core Business Analytics team. Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool. Location:This is a hybrid role, with 2 days per week expected in either our London or Nuneaton office. The Person Core Skills & Behaviours SQL expertise More ❯

Job summary Are you a data engineer with a passion for public service? Then maybe you're looking for us! We are seeking an experienced and skilled Advanced Data Engineer to be part of a growing team that delivers on More ❯

channels. What you'll be doing: Build dashboards & automate reporting across Paid Search, Social, Display, Email & Organic Define KPIs and translate data into clear business insights Use SQL, Python, BigQuery, Tableau (or similar BI tools) to drive scalable solutions Partner with marketing, sales, and finance to optimise performance Contribute to advanced analytics projects: media mix modelling, lead scoring, attribution More ❯

Excellent written and verbal communication skills; presentation skills preferred Proficiency in Collibra APIs, Java, Groovy, and REST integrations. Strong SQL knowledge and familiarity with common databases (Oracle, PostgreSQL, DB2, BigQuery, etc.). Experience with ETL/ELT tools (Informatica, DataStage, etc.) and BI platforms (Qlik, Power BI, etc.). Understanding of metadata standards, data lineage, reference data, and business More ❯

Analysts, and cross-functional squads to land scalable data solutions. Mentor mid-level analysts on analytics delivery, tooling, and stakeholder engagement. Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool Location This role is based can be based in London or Nuneaton, and may be occasionally required to travel to any other location of H&B. More ❯