51 to 75 of 361 Snowflake Jobs in England

Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) Knowledge of Orchestration Tools and processes (e.g SSIS , ODI, Informatica, Data Factory) Power BI Development including the data model, DAX, and visualizations ...

with AWS as a cloud platform Extensive hands-on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python, Java, Scala, Go) Pragmatic approach to solving ...

with AWS as a cloud platform Extensive hands-on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.) , data storage (e.g. Snowflake, Redshift, etc.) and also IaC ( e.g. Terraform, CloudFormation ) Software development experience with one or more languages (e.g. Python, Java, Scala, Go ) Pragmatic approach to solving ...

Experience Essential Advanced SQL skills with strong data modelling expertise (facts, dimensions, semantic layers). Experience working with modern cloud data warehouses (e.g. BigQuery, Snowflake, Redshift). Hands-on experience with analytics engineering tools (e.g. dbt). Strong understanding of ELT pipelines and data transformation best practices. Ability to operate ...

Experience Essential Advanced SQL skills with strong data modelling expertise (facts, dimensions, semantic layers). Experience working with modern cloud data warehouses (e.g. BigQuery, Snowflake, Redshift). Hands-on experience with analytics engineering tools (e.g. dbt). Strong understanding of ELT pipelines and data transformation best practices. Ability to operate ...

Experience Essential Advanced SQL skills with strong data modelling expertise (facts, dimensions, semantic layers). Experience working with modern cloud data warehouses (e.g. BigQuery, Snowflake, Redshift). Hands-on experience with analytics engineering tools (e.g. dbt). Strong understanding of ELT pipelines and data transformation best practices. Ability to operate ...

TensorFlow, etc.) Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying GenAI workloads. Knowledge of market insight, technology trends, and competitor intelligence Experience in proposal management ...

deliver fast, responsive reports Excellent communication skills, with the ability to bridge technical and non-technical audiences Experience working with cloud data platforms (Snowflake experience is highly desirable) Power BI or Microsoft BI certifications (advantageous but not essential) Familiarity with ERP and enterprise management systems such as SAP, Oracle, PeopleSoft ...

deliver fast, responsive reports Excellent communication skills, with the ability to bridge technical and non-technical audiences Experience working with cloud data platforms (Snowflake experience is highly desirable) Power BI or Microsoft BI certifications (advantageous but not essential) Familiarity with ERP and enterprise management systems such as SAP, Oracle, PeopleSoft ...

deliver fast, responsive reports Excellent communication skills, with the ability to bridge technical and non-technical audiences Experience working with cloud data platforms (Snowflake experience is highly desirable) Power BI or Microsoft BI certifications (advantageous but not essential) Familiarity with ERP and enterprise management systems such as SAP, Oracle, PeopleSoft ...

statistics and practical machine learning concepts (classification, regression, clustering). Knowledge of big data platforms and cloud-based AI analytics environments (e.g., Databricks, Snowflake, Azure ML, or AWS SageMaker). Ability to present complex issues as simple, compelling, and data-driven narratives, enhanced by AI-supported visualization and summarization tools. ...

statistics and practical machine learning concepts (classification, regression, clustering). Knowledge of big data platforms and cloud-based AI analytics environments (e.g., Databricks, Snowflake, Azure ML, or AWS SageMaker). Ability to present complex issues as simple, compelling, and data-driven narratives, enhanced by AI-supported visualization and summarization tools. ...

statistics and practical machine learning concepts (classification, regression, clustering). Knowledge of big data platforms and cloud-based AI analytics environments (e.g., Databricks, Snowflake, Azure ML, or AWS SageMaker). Ability to present complex issues as simple, compelling, and data-driven narratives, enhanced by AI-supported visualization and summarization tools. ...

Knowledge and interest in financial services and products Proven background of working in an analytical role Experience working with cloud data platforms such as Snowflake, Google (Big Query), AWS (Redshift), Azure or others Fluent in SQL Expert in data manipulation and analysis to provide actionable insights through data storytelling Experience ...

design skills Proven experience in data manipulation, mining, and validation Confident SQL skills Experience with Azure or AWS Understanding of data warehousing, ideally Snowflake or Data Factory PL-300 certification or close to completion Analytical Skills Professional experience in an analytics role Strong logical problem-solving and critical thinking skills ...

design, not just pipelines) DevOps MLOps/LLMOps Technologies you’ll often work with: Cloud Platforms: Azure, AWS, GCP Data Tools: Airflow, dbt, Databricks, Snowflake Developer Tooling & CI/CD: GitHub, Azure DevOps, Terraform (or other Infrastructure-as-Code tools) MLOps/LLMOps Frameworks: MLflow, AzureML, LangSmith ...

design, not just pipelines) DevOps MLOps/LLMOps Technologies you’ll often work with: Cloud Platforms: Azure, AWS, GCP Data Tools: Airflow, dbt, Databricks, Snowflake Developer Tooling & CI/CD: GitHub, Azure DevOps, Terraform (or other Infrastructure-as-Code tools) MLOps/LLMOps Frameworks: MLflow, AzureML, LangSmith ...

platform aligns with long-term objectives. In this Senior Data Engineering role, you'll design, develop, and maintain data platforms using technologies such as Snowflake, Databricks, Synapse/Fabric, and PySpark, ensuring the scalability, security, and performance of all data systems. As the Senior Data Engineer your role will ...

platform aligns with long-term objectives. In this Senior Data Engineering role, you’ll design, develop, and maintain data platforms using technologies such as Snowflake, Databricks, Synapse/Fabric, and PySpark, ensuring the scalability, security, and performance of all data systems. As the Senior Data Engineer your role will ...

platform aligns with long-term objectives. In this Senior Data Engineering role, you’ll design, develop, and maintain data platforms using technologies such as Snowflake, Databricks, Synapse/Fabric, and PySpark, ensuring the scalability, security, and performance of all data systems. As the Senior Data Engineer your role will ...

tools. Apply strong understanding of the Power BI calculation engine and performance tuning techniques. Data Engineering & Integration Design and implement robust data pipelines from Snowflake, SQL Server, SharePoint , and other enterprise systems. Ensure data accuracy, consistency, and reliability across distributed reporting ecosystems. Conduct data validation, quality checks, and impact assessments ...

tools. Apply strong understanding of the Power BI calculation engine and performance tuning techniques. Data Engineering & Integration Design and implement robust data pipelines from Snowflake, SQL Server, SharePoint , and other enterprise systems. Ensure data accuracy, consistency, and reliability across distributed reporting ecosystems. Conduct data validation, quality checks, and impact assessments ...

tools. Apply strong understanding of the Power BI calculation engine and performance tuning techniques. Data Engineering & Integration Design and implement robust data pipelines from Snowflake, SQL Server, SharePoint, and other enterprise systems. Ensure data accuracy, consistency, and reliability across distributed reporting ecosystems. Conduct data validation, quality checks, and impact assessments ...

business users to understand data needs and deliver value Develop technical skills - grow your knowledge in SQL, Python, cloud technologies (e.g., AWS, Azure, or Snowflake), and modern data engineering tools Support data governance initiatives - help apply data security, compliance, and management standards. You will also advance your technical skills through ...

thrive in a collaborative, agile environment. Ideal experience includes: Working on data, analytics, or API-driven products. Familiarity with modern data platforms (e.g. Snowflake, AWS, Databricks or similar). Understanding of BI tools such as Power BI, Looker, Tableau, or equivalent. Strong agile delivery experience (Scrum/Kanban). Confident ...