76 to 100 of 752 Snowflake Jobs in England

Data Engineer, particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. More ❯

Data Engineer, particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. More ❯

frameworks. Metadata & Lineage Management - Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation - Build and maintain connectors across platforms like Snowflake, Databricks, Tableau, Power BI, and Salesforce. Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement - Define RBAC, data ownership models, workflows, and certification More ❯

frameworks. Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like Snowflake, Databricks, Tableau, Power BI, and Salesforce . Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and More ❯

frameworks. Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like Snowflake, Databricks, Tableau, Power BI, and Salesforce . Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and More ❯

pipelines, streaming) across SaaS platforms, in-house systems and external data sources. Strategic Leadership Build the vision for a modern, cloud-based data platform (e.g. Microsoft Fabric, Synapse, Databricks, Snowflake), enabling real-time analytics, AI/ML and self-serve BI. Define and deliver the enterprise data strategy, aligned with business and regulatory priorities. Act as the senior owner of More ❯

frameworks. Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like Snowflake, Databricks, Tableau, Power BI, and Salesforce. Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification More ❯

frameworks. Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like Snowflake, Databricks, Tableau, Power BI, and Salesforce. Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification More ❯

frameworks. Metadata & Lineage Management — Design metadata models, lineage tracking, and glossaries; implement automated enrichment, sensitive data detection, and trust indicators. Integration & Automation — Build and maintain connectors across platforms like Snowflake, Databricks, Tableau, Power BI, and Salesforce. Implement REST APIs and event-driven automation for near real-time metadata synchronization. Data Governance Enablement — Define RBAC, data ownership models, workflows, and certification More ❯

a simple manner. Technical Skills: Advanced SQL skills essential. Experience with visualisation tools, such as Metabase, Tableau, Looker and PowerBi. Knowledge of dbt. Familiarity with data warehouses like BigQuery, Snowflake and Redshift. Knowledge in another programming language such as Python or R or a keen desire to develop programming skills. Good statistical understanding. Other Skills: Strong ability and desire to More ❯

a simple manner. Technical Skills: Advanced SQL skills essential. Experience with visualisation tools, such as Metabase, Tableau, Looker and PowerBi. Knowledge of dbt. Familiarity with data warehouses like BigQuery, Snowflake and Redshift. Knowledge in another programming language such as Python or R or a keen desire to develop programming skills. Good statistical understanding. Other Skills: Strong ability and desire to More ❯

a simple manner. Technical Skills: Advanced SQL skills essential. Experience with visualisation tools, such as Metabase, Tableau, Looker and PowerBi. Knowledge of dbt. Familiarity with data warehouses like BigQuery, Snowflake and Redshift. Knowledge in another programming language such as Python or R or a keen desire to develop programming skills. Good statistical understanding. Other Skills: Strong ability and desire to More ❯

a simple manner. Technical Skills: Advanced SQL skills essential. Experience with visualisation tools, such as Metabase, Tableau, Looker and PowerBi. Knowledge of dbt. Familiarity with data warehouses like BigQuery, Snowflake and Redshift. Knowledge in another programming language such as Python or R or a keen desire to develop programming skills. Good statistical understanding. Other Skills: Strong ability and desire to More ❯

a simple manner. Technical Skills: Advanced SQL skills essential. Experience with visualisation tools, such as Metabase, Tableau, Looker and PowerBi. Knowledge of dbt. Familiarity with data warehouses like BigQuery, Snowflake and Redshift. Knowledge in another programming language such as Python or R or a keen desire to develop programming skills. Good statistical understanding. Other Skills: Strong ability and desire to More ❯

a simple manner. Technical Skills: Advanced SQL skills essential. Experience with visualisation tools, such as Metabase, Tableau, Looker and PowerBi. Knowledge of dbt. Familiarity with data warehouses like BigQuery, Snowflake and Redshift. Knowledge in another programming language such as Python or R or a keen desire to develop programming skills. Good statistical understanding. Other Skills: Strong ability and desire to More ❯

data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Snowflake, Azure/AxoWS/Oracle cloud, R, Python. Company Description Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver More ❯

data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Snowflake, Azure/AxoWS/Oracle cloud, R, Python. Company Description Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver More ❯

data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Snowflake, Azure/AxoWS/Oracle cloud, R, Python. Company Description Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver More ❯

ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across full project More ❯

ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across full project More ❯

ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across full project More ❯

ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across full project More ❯

ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across full project More ❯

ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data management principles. Experience leading data design across full project More ❯

change to achieve common goals. Proficiency in the design and implementation of modern data architectures (ideally Azure/Microsoft Fabric/Data Factory) and modern data warehouse technologies (Databricks, Snowflake) Experience with database technologies such as RDBMS (SQL Server, Oracle) or NoSQL (MongoDB) Knowledge in Apache technologies such as Spark, Kafka and Airflow to build scalable and efficient data pipelines More ❯