1 to 25 of 61 BigQuery Jobs in Yorkshire

similar position in a modern cloud-based data environment. Strong SQL skills and hands-on experience with platforms such as Snowflake, Azure Synapse, BigQuery, or Redshift. Deep understanding of Data Vault, Kimball, and dimensional modelling techniques. Experience designing data marts and semantic layers for BI tools (Power BI, Tableau ...

holistically addressing the unique challenges of migrating to a new platform Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc. End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure ...

holistically addressing the unique challenges of migrating to a new platform Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc. End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure ...

holistically addressing the unique challenges of migrating to a new platform Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc. End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure ...

holistically addressing the unique challenges of migrating to a new platform Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc. End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure ...

holistically addressing the unique challenges of migrating to a new platform Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc. End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure ...

Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness ...

Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness ...

Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness ...

Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness ...

Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness ...

Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness ...

Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness ...

modelling logic. Version Control: Comfortable using GitHub for collaborative development and version control. Cloud Data Warehousing: Hands-on experience with modern warehouses (e.g., BigQuery). Agile Proficiency: Experience working in an Agile environment using Jira to manage workloads and prioritize projects independently. Soft Skills & Mindset Communication: Ability to translate ...

modelling logic. Version Control: Comfortable using GitHub for collaborative development and version control. Cloud Data Warehousing: Hands-on experience with modern warehouses (e.g., BigQuery). Agile Proficiency: Experience working in an Agile environment using Jira to manage workloads and prioritize projects independently. Soft Skills & Mindset Communication: Ability to translate ...

modelling logic. Version Control: Comfortable using GitHub for collaborative development and version control. Cloud Data Warehousing: Hands-on experience with modern warehouses (e.g., BigQuery). Agile Proficiency: Experience working in an Agile environment using Jira to manage workloads and prioritize projects independently. Soft Skills & Mindset Communication: Ability to translate ...

modelling logic. Version Control: Comfortable using GitHub for collaborative development and version control. Cloud Data Warehousing: Hands-on experience with modern warehouses (e.g., BigQuery). Agile Proficiency: Experience working in an Agile environment using Jira to manage workloads and prioritize projects independently. Soft Skills & Mindset Communication: Ability to translate ...

automated testing and quality assurance practices. Mindset: Demonstrated commitment to continuous learning and excellent communication skills. Good to Have GCP Data Services: Experience with BigQuery, Spanner, Cloud Composer, or Dataflow. Generative AI: Exposure to LangChain, LangGraph, or similar tools; interest in building agentic solutions. ...

workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context. 2. Advanced ...

workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context. 2. Advanced ...

workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context. 2. Advanced ...

workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context. 2. Advanced ...

workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context. 2. Advanced ...

Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization (Docker). Knowledge of predictive modeling and handling unstructured data. Preferred Experience with consumer goods or marketing analytics. Strong communication ...

Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization (Docker). Knowledge of predictive modeling and handling unstructured data. Preferred Experience with consumer goods or marketing analytics. Strong communication ...