26 to 50 of 464 BigQuery Jobs in England

queries for: Data validationRoot cause analysisReport troubleshootingSupport and maintain data warehouse environments, such as: Azure Synapse AnalyticsSQL Server/Azure SQL DBSnowflake or BigQuery (optional, if used in hybrid environments)Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCAInvestigate job failures and performance ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security ...

practices: strong grasp of SQL, data modeling, pipeline design, and tools like dbt, Airflow, Fivetran, and similar Hands-on experience with cloud data warehouses (BigQuery, Redshift, or Snowflake); understanding of performance optimization, partitioning, and data quality patterns Ability to articulate data strategy and complex technical solutions simply to both ...

analytics engineering best practices. * Experience with source control, CI/CD, and modern development practices. * Excellent stakeholder management and communication skills. Desirable: * Google Cloud, BigQuery, dbt, Looker, or similar modern data stack technologies. * Cloud or analytics certifications. * Experience in fast-paced, project-driven environments. What's on Offer ...

technical business users. Delivery Frameworks: Comfortable working within Agile and Waterfall project delivery methodologies. Desirable: Cloud Infrastructure: Hands-on experience with Google Cloud Platform (BigQuery, GCP storage) or equivalent cloud providers (AWS/Azure). Programming Languages: Proficiency in Python, R, or general-purpose scripting languages. Analytics Tools: Exposure ...

unstructured or “messy” client data. Nice to haves: Previous experience working in a marketing agency or consultancy. Familiarity with cloud data warehouses (e.g., Google BigQuery, Azure). Knowledge of Python or R for advanced data manipulation. Business Acumen:A strong understanding of general business operations beyond marketing, including sales ...

analytical workloads leveraging leading cloud technologies (AWS, GCP, Azure). ENABLE hybrid cloud transformation – design and implement modern hybrid data architectures (e.g., Snowflake, Redshift, BigQuery) and drive migration of legacy systems to cloud-native solutions to unlock agility and performance. OPTIMISE AND SECURE cloud environments – evaluate cloud environments ...

leveraging leading cloud technologies (AWS, GCP, Azure).We **ENABLE** hybrid cloud transformation – You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We **OPTIMISE** and **SECURE** cloud environments – You will evaluate ...

. What you'll be doing Design and build scalable ETL/ELT data pipelines across multiple enterprise data sources Develop data solutions using BigQuery, Google Spanner, Neo4j and vector databases Build and maintain Knowledge Graphs connecting enterprise entities, systems and knowledge assets Develop and optimise search indexing ...

highly beneficial: Public sector, government, healthcare or other regulated industry experience. Modern data warehouse and lakehouse platforms such as Amazon Redshift, Snowflake, Databricks, Google BigQuery or Azure Synapse. Strong SQL expertise and proficiency in Python or Java. Infrastructure as Code technologies including Terraform and CloudFormation. MLOps frameworks ...

idea through to delivery and adoption. Advanced SQL skills with experience querying large datasets accurately and efficiently. Experience with cloud data platforms such as BigQuery, Google Cloud Platform or AWS. Experience building dashboards, reporting products and self-serve insight tools. Strong understanding of data modelling, ETL/ELT processes ...

successful Data Engineering Lead will have the following skills and experience: Strong SQL and Python skills Experience working with cloud data warehouses, ideally BigQuery Knowledge of dbt or similar transformation frameworks Experience building and maintaining data pipelines and ETL/ELT processes Exposure to BI and dashboarding tools, particularly ...

scientist, analytics engineer, or quantitative analyst, ideally at a fintech, payments, marketplace, or consumer tech company. Strong SQL. You can navigate large, messy warehouses (BigQuery, Snowflake, Redshift, or similar) and write performant, readable queries. Solid Python (or R) for analysis and modeling: pandas, scikit-learn, statsmodels, and at least ...

their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases for analytics (Redshift, BigQuery, Snowflake or other). Nice to have Experience modelling and transforming data from event collection to report curation, especially for e-commerce or affiliate businesses ...

layers Experience with infrastructure-as-code (Terraform, AWS CDK) is a plus Familiar with broader cloud platforms — Azure (Data Factory, Synapse) or GCP (Dataflow, BigQuery) — is beneficial but not essential Tech snapshot Primary cloud AWS — Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA Streaming ...

working rather than something you've picked up Substantial experience with a modern lakehouse or warehouse platform — Databricks ideally, or Snowflake/BigQuery — including the performance, cost and governance decisions that come with running one at scale Real production experience with Fivetran, dbt, or equivalent ingestion and transformation tooling ...