76 to 100 of 1,416 BigQuery Jobs in the UK

familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms. Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery). Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices. Strong knowledge of data governance, data privacy, and compliance frameworks (e.g., GDPR, ISO More ❯

end user data and visualisation tools such as Tableau. Experience working with APIs. Experience working with large-scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools. Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to derive actionable insights. Knowledge of More ❯

databases (e.g. postgres, sql server) Data Integration Tools: Knowledge of platforms like Airflow, Apache NiFi, or Talend. Data Storage and Modelling: Experience with data warehousing tools (e.g. Snowflake, Redshift, BigQuery) and schema design. Version Control and CI/CD: Familiarity with Git, Docker, and CI/CD pipelines for deployment. Experience 2+ years of experience in data engineering or More ❯

familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery) Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices Strong knowledge of data governance, data privacy, and compliance frameworks (e.g., GDPR, ISO More ❯

Job Description Data Architect Data Architects at Next work closely with the Next Architect teams to identify potential technology innovations, make recommendations that support business growth and drive efficiencies, align business requirements with Next strategy, and are responsible for designing More ❯

Social network you want to login/join with: Shaping culture is in the DNA of ITV. So, it’s not surprising that you’ll find us in every home in the UK, our productions are famous all over the More ❯

THE COMPANY: At Fit Collective , we’re solving one of the fashion industry’s biggest - and most expensive - problems: poor fit. It's the leading cause of returns, responsible for nearly $1 trillion in lost revenue , 4 billion pounds of More ❯

THE COMPANY: At Fit Collective , we’re solving one of the fashion industry’s biggest - and most expensive - problems: poor fit. It's the leading cause of returns, responsible for nearly $1 trillion in lost revenue , 4 billion pounds of More ❯

THE COMPANY: At Fit Collective , we’re solving one of the fashion industry’s biggest - and most expensive - problems: poor fit. It's the leading cause of returns, responsible for nearly $1 trillion in lost revenue , 4 billion pounds of More ❯

THE COMPANY: At Fit Collective , we’re solving one of the fashion industry’s biggest - and most expensive - problems: poor fit. It's the leading cause of returns, responsible for nearly $1 trillion in lost revenue , 4 billion pounds of More ❯

and data AI Agents. You will be designing and proposing effective combinations of Google Marketing Platform tools (GA4, Campaign Manager 360, Search Ads 360, etc.) and Google Cloud solutions (BigQuery, BQ Sharing (Analytics Hub), Cloud Storage, APIs, Compute Engine, etc.) to address specific client needs. You will be designing, maintaining, and optimising data infrastructure for data collection, management, transformation … Experience with creating AI Agents. Develop and maintain efficient data pipelines, ETL processes, and data warehousing solutions. Proficiency in Python and SQL. Demonstrable expertise in Google Cloud Platform (e.g., BigQuery, BQ Sharing (Analytics Hub), Cloud Functions, Dataflow, Looker Studio) to build scalable and secure data solutions. Other cloud-based technologies such as Windows Azure, AWS are desirable. Hands-on More ❯

and data AI Agents. You will be designing and proposing effective combinations of Google Marketing Platform tools (GA4, Campaign Manager 360, Search Ads 360, etc.) and Google Cloud solutions (BigQuery, BQ Sharing (Analytics Hub), Cloud Storage, APIs, Compute Engine, etc.) to address specific client needs. You will be designing, maintaining, and optimising data infrastructure for data collection, management, transformation … Experience with creating AI Agents. Develop and maintain efficient data pipelines, ETL processes, and data warehousing solutions. Proficiency in Python and SQL. Demonstrable expertise in Google Cloud Platform (e.g., BigQuery, BQ Sharing (Analytics Hub), Cloud Functions, Dataflow, Looker Studio) to build scalable and secure data solutions. Other cloud-based technologies such as Windows Azure, AWS are desirable. Hands-on More ❯

and data AI Agents. You will be designing and proposing effective combinations of Google Marketing Platform tools (GA4, Campaign Manager 360, Search Ads 360, etc.) and Google Cloud solutions (BigQuery, BQ Sharing (Analytics Hub), Cloud Storage, APIs, Compute Engine, etc.) to address specific client needs. You will be designing, maintaining, and optimising data infrastructure for data collection, management, transformation … Experience with creating AI Agents. Develop and maintain efficient data pipelines, ETL processes, and data warehousing solutions. Proficiency in Python and SQL. Demonstrable expertise in Google Cloud Platform (e.g., BigQuery, BQ Sharing (Analytics Hub), Cloud Functions, Dataflow, Looker Studio) to build scalable and secure data solutions. Other cloud-based technologies such as Windows Azure, AWS are desirable. Hands-on More ❯

and data AI Agents. You will be designing and proposing effective combinations of Google Marketing Platform tools (GA4, Campaign Manager 360, Search Ads 360, etc.) and Google Cloud solutions (BigQuery, BQ Sharing (Analytics Hub), Cloud Storage, APIs, Compute Engine, etc.) to address specific client needs. You will be designing, maintaining, and optimising data infrastructure for data collection, management, transformation … Experience with creating AI Agents. Develop and maintain efficient data pipelines, ETL processes, and data warehousing solutions. Proficiency in Python and SQL. Demonstrable expertise in Google Cloud Platform (e.g., BigQuery, BQ Sharing (Analytics Hub), Cloud Functions, Dataflow, Looker Studio) to build scalable and secure data solutions. Other cloud-based technologies such as Windows Azure, AWS are desirable. Hands-on More ❯

and data AI Agents. You will be designing and proposing effective combinations of Google Marketing Platform tools (GA4, Campaign Manager 360, Search Ads 360, etc.) and Google Cloud solutions (BigQuery, BQ Sharing (Analytics Hub), Cloud Storage, APIs, Compute Engine, etc.) to address specific client needs. You will be designing, maintaining, and optimising data infrastructure for data collection, management, transformation … Experience with creating AI Agents. Develop and maintain efficient data pipelines, ETL processes, and data warehousing solutions. Proficiency in Python and SQL. Demonstrable expertise in Google Cloud Platform (e.g., BigQuery, BQ Sharing (Analytics Hub), Cloud Functions, Dataflow, Looker Studio) to build scalable and secure data solutions. Other cloud-based technologies such as Windows Azure, AWS are desirable. Hands-on More ❯

and data AI Agents. You will be designing and proposing effective combinations of Google Marketing Platform tools (GA4, Campaign Manager 360, Search Ads 360, etc.) and Google Cloud solutions (BigQuery, BQ Sharing (Analytics Hub), Cloud Storage, APIs, Compute Engine, etc.) to address specific client needs. You will be designing, maintaining, and optimising data infrastructure for data collection, management, transformation … Experience with creating AI Agents. Develop and maintain efficient data pipelines, ETL processes, and data warehousing solutions. Proficiency in Python and SQL. Demonstrable expertise in Google Cloud Platform (e.g., BigQuery, BQ Sharing (Analytics Hub), Cloud Functions, Dataflow, Looker Studio) to build scalable and secure data solutions. Other cloud-based technologies such as Windows Azure, AWS are desirable. Hands-on More ❯

sources. Design and implement advanced Graph Database solutions using Neo4j, Cypher queries, and GCP-native integrations. Create ETL/ELT workflows leveraging GCP services including Dataflow, Pub/Sub, BigQuery, and Cloud Storage. Model real-world use cases in Neo4j such as fraud detection, knowledge graphs, and network analysis. Optimize graph database performance, ensure query scalability, and maintain system … years of experience in data engineering, including 2+ years with Neo4j or another Graph DB platform. Proficiency in SQL, Python, and Cypher query language. Strong hands-on experience with BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Expertise in graph theory, graph schema modeling, and data relationship mapping. Bachelor’s degree in Computer Science, Engineering, or a related field. More ❯

more junior members of staff. Required Skills & Experience: * Proven experience as a Data Engineer in a commercial environment. * Strong hands-on experience with Google Cloud Platform (GCP) services (e.g., BigQuery, Dataflow, Pub/Sub). * Solid understanding of Azure data services and hybrid cloud environments. * Advanced SQL skills and proficiency in Python for data engineering tasks. * Experience working in More ❯

SaaS or tech environment, but this isn't set in stone! Familiarity with digital advertising platforms (Google Ads, Facebook Ads, LinkedIn Ads, TikTok, etc.) We use Google Analytics 4, BigQuery, Fivetran, Amplitude, Metabase and DBT amongst other things for our data stack, so experience here would be beneficial, however, experience in similar tools (if not these ones) is a More ❯

our clients. Experience & Qualifications Proven experience as a DevOps Engineer/Consultant with a history of successful client project delivery. Extensive hands-on experience with GCP services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, and Cloud Composer. Strong programming and scripting skills in languages like Python, Bash, or Go to automate tasks and build necessary tools. More ❯

science and machine learning purposes. Expertise in design of data solutions for BigQuery. Expertise in logical and physical data modelling. Hands-on experience using Google Dataflow, GCS, cloud functions, BigQuery, DataProc, Apache Beam (Python) in designing data transformation rules for batch and data streaming. Solid Python programming skills and using Apache Beam (Python). Structure of CI/CD More ❯

management practices, system development life cycle management, IT services management, agile and lean methodologies, infrastructure and operations, and EA and ITIL frameworks. Proficiency with data warehousing solutions (e.g., Google BigQuery, Snowflake). Expertise in data modeling tools and techniques (e.g., SAP PowerDesigner, EA Sparx). Strong knowledge of SQL and NoSQL databases (e.g., MongoDB, Cassandra). Familiarity with cloud More ❯

dbt is preferred. Experience with data warehouse design and modelling, including conceptual, logical, physical, and dimensional modelling techniques. Knowledge of cloud data warehouse technologies such as Snowflake (preferred), Google BigQuery, AWS Redshift, or Azure Synapse, and familiarity with GCP, AWS, or Azure services like cloud storage, containerisation, orchestration, and security. Experience working in Agile environments, using Scrum or Kanban More ❯

party data warehouse and sources, supporting AI and data governance, and mentoring junior team members. You will liaise with stakeholders, ensuring clear requirements and smooth delivery using tools like BigQuery and Google Cloud Platform. Your role involves analyzing, documenting, and facilitating communication to ensure project success and promote best practices within the BA community. Day-to-day responsibilities include More ❯

engage technical and non-technical stakeholders alike. The Head of BI will work within a modern, cloud-based BI ecosystem, including: Data Integration: Fivetran, HVR, Databricks, Apache Kafka, Google BigQuery, Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics More ❯