126 to 150 of 1,413 BigQuery Jobs in the UK

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 ❯

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 ❯

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 ❯

and tools such as Snowflake, dBt, Fivetran, and Tableau (or similar) Strong knowledge of SQL and experience in testing databases and data warehouses with dBt (e.g., Snowflake - Preferred, Redshift, BigQuery) Strong Knowledge of workload automation platforms like Apache Airflow and dBt (Data Build Tool) Familiarity with CI/CD tools (e.g. Azure DevOps – Preferred, Jenkins) and experience integrating automated More ❯

and encourage applications from those with transferable experience. You’ll ideally bring: Experience building ETL pipelines in Python. Familiarity with analytical data warehouses (e.g. Redshift preferred, or Snowflake/BigQuery). Understanding of orchestration tools such as AWS Step Functions, Airflow, or AWS Batch. Experience working with Agile methodologies. Awareness of automated testing and delivery pipelines. Understanding of metadata More ❯

data modelling techniques. Strong analytical and problem-solving skills with an ability to work in agile development environment independently. Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Redshift, BigQuery, or similar). Ability to work independently and manage multiple projects simultaneously. Excellent communication and collaboration skills. Preferred Qualifications: Exposure to Agile/Scrum methodologies. Experience with cloud platforms More ❯

At Suntory Global Spirits, we craft spirits of the highest quality and deliver brilliant experiences to people around the world. Suntory Global Spirits has evolved into the world's third largest leading premium spirits company ... where each employee is More ❯

Social network you want to login/join with: At Suntory Global Spirits, we craft spirits of the highest quality and deliver brilliant experiences to people around the world. Suntory Global Spirits has evolved into the world's third largest More ❯

Social network you want to login/join with: At Suntory Global Spirits, we craft spirits of the highest quality and deliver brilliant experiences to people around the world. Suntory Global Spirits has evolved into the world's third largest More ❯

Solid development experience within a commercial environment creating production grade ETL and ELT pipelines in python Comfortable implementing data architectures in analytical data warehouses such as Snowflake, Redshift or BigQuery Hands on experience with data orchestrators such as Airflow Knowledge of Agile development methodologies Awareness of cloud technology particularly AWS. Knowledge of automated delivery processes Hands on experience of More ❯

Get AI-powered advice on this job and more exclusive features. At Suntory Global Spirits, we craft spirits of the highest quality and deliver brilliant experiences to people around the world. Suntory Global Spirits has evolved into the world's More ❯

Strong knowledge of CX KPIs, retention analytics, and customer segmentation models Basic experience with predictive modeling techniques (regression models, clustering, or time-series analysis) Familiarity with Python, Snowflake ML, BigQuery ML, or Azure AI for foundational ML applications Experience with BI tools (Tableau, Power BI) for CX reporting and visualization Ability to optimize large SQL queries and troubleshoot common More ❯

volumes of structured and unstructured data from diverse sources. Strong knowledge of SQL/NoSQL databases and cloud data warehouse technology such as Snowflake/Databricks/Redshift/BigQuery, including performance tuning and optimisation. Understanding of best practices for designing scalable and efficient data models, leveraging dbt for transformations. Familiarity with CircleCI, Terraform or similar tools for deployment More ❯

experience At least 3-4 years of hands-on experience in data engineering roles Proficiency in SQL and Python programming for data manipulation and pipeline development Experience with Snowflake, BigQuery, Databricks, or equivalent cloud data warehousing platforms Familiarity with data visualization tools (e.g., PowerBI, Tableau) Experience with modern data pipeline tools such as DBT, Airflow, or Composer Understanding of More ❯

ability to engage both technical and non-technical audiences. Desirable: SnowPro Core or Advanced Certification. Experience with Azure Synapse, Data Factory, and Logic Apps. Experience with GCP (Dataflow and BigQuery) Familiarity with distributed data processing frameworks such as PySpark. Knowledge of Terraform for Infrastructure as Code. Experience developing CI/CD pipelines with tools such as GitHub Actions. Experience 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 ❯

Cloud (GCP) on major data or AI transformation projects Proven track record in designing and maintaining large-scale data warehouses and data lakes. Expertise in GCP data services including BigQuery, Composer, Dataform, DataProc, and Pub/Sub. Strong programming experience with Python, PySpark, and SQL. Hands-on experience with data modelling, ETL processes, and data quality frameworks. Proficiency with More ❯

Cloud (GCP) on major data or AI transformation projects Proven track record in designing and maintaining large-scale data warehouses and data lakes. Expertise in GCP data services including BigQuery, Composer, Dataform, DataProc, and Pub/Sub. Strong programming experience with Python, PySpark, and SQL. Hands-on experience with data modelling, ETL processes, and data quality frameworks. Proficiency with More ❯

Cloud (GCP) on major data or AI transformation projects Proven track record in designing and maintaining large-scale data warehouses and data lakes. Expertise in GCP data services including BigQuery, Composer, Dataform, DataProc, and Pub/Sub. Strong programming experience with Python, PySpark, and SQL. Hands-on experience with data modelling, ETL processes, and data quality frameworks. Proficiency with More ❯

guidance and training to users and internal teams Required Experience Proven track record of delivering large-scale data platforms using Google Cloud Platform Hands-on experience with GCP tools: BigQuery, Dataform, Dataproc, Composer, Pub/Sub Strong programming skills in Python, PySpark , and SQL Deep understanding of data engineering concepts, including ETL, data warehousing, and cloud storage Strong communication More ❯

guidance and training to users and internal teams Required Experience Proven track record of delivering large-scale data platforms using Google Cloud Platform Hands-on experience with GCP tools: BigQuery, Dataform, Dataproc, Composer, Pub/Sub Strong programming skills in Python, PySpark , and SQL Deep understanding of data engineering concepts, including ETL, data warehousing, and cloud storage Strong communication More ❯

data pipelines Automating and orchestrating workflows using tools like AWS Glue, Azure Data Factory, or Google Cloud Dataflow Working with platform services such as Amazon S3, Azure Synapse, Google BigQuery, and Snowflake Implementing Lakehouse architectures using tools like Databricks or Snowflake Collaborating closely with engineers, analysts, and client teams to deliver value-focused data solutions We'd love to … Spar and data pipeline tools such as dbt or Airflow You're comfortable working across cloud platforms - especially AWS (Glue, Lambda, Athena), Azure (Data Factory, Synapse), or GCP (Dataflow, BigQuery, Cloud Composer) You have a good understanding of data modelling, data warehousing and performance optimisation You care deeply about data quality, testing, and documentation You enjoy solving real-world More ❯

data pipelines Automating and orchestrating workflows using tools like AWS Glue, Azure Data Factory, or Google Cloud Dataflow Working with platform services such as Amazon S3, Azure Synapse, Google BigQuery, and Snowflake Implementing Lakehouse architectures using tools like Databricks or Snowflake Collaborating closely with engineers, analysts, and client teams to deliver value-focused data solutions We'd love to … Spar and data pipeline tools such as dbt or Airflow You’re comfortable working across cloud platforms – especially AWS (Glue, Lambda, Athena), Azure (Data Factory, Synapse), or GCP (Dataflow, BigQuery, Cloud Composer) You have a good understanding of data modelling, data warehousing and performance optimisation You care deeply about data quality, testing, and documentation You enjoy solving real-world More ❯