26 to 50 of 148 BigQuery Jobs in the South East

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 ...

months to align legacy stacks with modern standards What they are looking for Technical experience Strong SQL experience with Redshift or BigQuery and exposure to Snowflake or another modern warehouse Proven experience building production dbt models, tests, and environments Solid understanding of dimensional modelling and Kimball principles Experience working ...

clients to present insights and actionable recommendations. Platforms You'll Work With: Google Analytics 4 (GA4) Google Tag Manager (GTM) Google Marketing Platform BigQuery & SQL Looker Studio Tools like Supermetrics, Power BI, Tableau, and CRM systems like Salesforce What We're Looking For: Experience in marketing analytics ...

using SQL and Python to uncover trends and guide strategic decision-making. Build and maintain KPI dashboards using modern BI tools (e.g., Looker Studio, BigQuery). Maintain high data quality through validation, monitoring and governance best practices. Contribute to the development and optimisation of the analytics and data warehouse ...

databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services (e.g., Snowflake, S3, BigQuery, Redshift). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., Git) and CI/CD pipelines. ...

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 ...

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 ...

tools (e.g., Collibra). Excellent analytical, problem-solving, and communication skills. Exposure to on-premises and cloud databases (e.g., Microsoft SQL Server, PostgreSQL, Snowflake, BigQuery, Azure). Enjoy working in a collaborative, team-based environment Fluent in English. French a plus Our Maison's DNA is defined by five ...

. Promote self-service analytics and data literacy across the business. Act as an expert in SQL across technologies like Postgres, Cloud SQL, BigQuery, and Redshift . Build and orchestrate pipelines using Airflow . Support IaC and CI/CD best practices via GitHub. Work closely with data engineers ...

Google Cloud Storage preferred) Support PyTorch-based workflows, particularly around data loading and dataset management in the cloud Build and optimise data integrations with BigQuery and SQL databases Ensure efficient memory usage and performance when handling large datasets Collaborate with ML engineers to support training and experimentation pipelines (without ...

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 ...