1 to 25 of 209 Snowflake Jobs in the UK excluding London

/ERP systems (e.g., Salesforce, Netsuite, or similar). Strong grasp of data governance, quality assurance, and security best practices. Bonus: Experience with Microsoft Fabric, cloud data warehouses (Azure, Snowflake, BigQuery, Redshift), or orchestration tools like dbt or Airflow. Collaboration & Communication Ability to communicate technical insights clearly to non-technical audiences. Experience partnering with leadership and cross-functional teams. Mindset More ❯

/ERP systems (e.g., Salesforce, Netsuite, or similar). Strong grasp of data governance, quality assurance, and security best practices. Bonus: Experience with Microsoft Fabric, cloud data warehouses (Azure, Snowflake, BigQuery, Redshift), or orchestration tools like dbt or Airflow. Collaboration & Communication Ability to communicate technical insights clearly to non-technical audiences. Experience partnering with leadership and cross-functional teams. Mindset More ❯

/ERP systems (e.g., Salesforce, Netsuite, or similar). Strong grasp of data governance, quality assurance, and security best practices. Bonus: Experience with Microsoft Fabric, cloud data warehouses (Azure, Snowflake, BigQuery, Redshift), or orchestration tools like dbt or Airflow. Collaboration & Communication Ability to communicate technical insights clearly to non-technical audiences. Experience partnering with leadership and cross-functional teams. Mindset More ❯

analytics.• Experience with agile principles and practices The "Nice to Haves": • Certification in dbt or Google Cloud Platform or related technologies. • Experience with other cloud platforms (eg AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (eg Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks.Your characteristics as a Consultant More ❯

level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data Products More ❯

level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data Products More ❯

level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data Products More ❯

orchestration tools and Agile/DevOps practices. Data Analytics Lead | Data Engineering Lead | Risk Reporting Lead | Risk Data Engineering | SQL Expert | Data Warehouse | Financial Risk Analytics | Risk Data Management | Snowflake | SQL Server | SSIS | Power BI | Regulatory Compliance | Market Risk | Credit Risk | Data Team Manager | Data Platform Lead | Data Transformation | Financial Institution | International Data Team | Data Platform Architecture Deerfoot Recruitment Solutions More ❯

orchestration tools and Agile/DevOps practices. Data Analytics Lead | Data Engineering Lead | Risk Reporting Lead | Risk Data Engineering | SQL Expert | Data Warehouse | Financial Risk Analytics | Risk Data Management | Snowflake | SQL Server | SSIS | Power BI | Regulatory Compliance | Market Risk | Credit Risk | Data Team Manager | Data Platform Lead | Data Transformation | Financial Institution | International Data Team | Data Platform Architecture Deerfoot Recruitment Solutions More ❯

tools and big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating diverse data sources and systems. Understanding of secure data transfer More ❯

share options Hybrid working - 1 day a week in a central London office High-growth scale-up with a strong mission and serious funding Modern tech stack: Python, SQL, Snowflake, Apache Iceberg, AWS, Airflow, dbt, Spark Work cross-functionally with engineering, product, analytics, and data science leaders What You'll Be Doing Lead, mentor, and grow a high-impact team More ❯

levels. Entrepreneurial mindset with a bias for action and delivery. Desirable but not essential: Sector experience in advertising, media, or technology. Familiarity with tools such as Power BI, dbt, Snowflake, Python/R, and cloud platforms (Azure preferred). Experience with financial modelling, forecasting, and operational analytics. VCCP DE&I Statement We believe that DE&I is about creating a More ❯

levels. Entrepreneurial mindset with a bias for action and delivery. Desirable but not essential: Sector experience in advertising, media, or technology. Familiarity with tools such as Power BI, dbt, Snowflake, Python/R, and cloud platforms (Azure preferred). Experience with financial modelling, forecasting, and operational analytics. VCCP DE&I Statement We believe that DE&I is about creating a More ❯

levels. Entrepreneurial mindset with a bias for action and delivery. Desirable but not essential: Sector experience in advertising, media, or technology. Familiarity with tools such as Power BI, dbt, Snowflake, Python/R, and cloud platforms (Azure preferred). Experience with financial modelling, forecasting, and operational analytics. VCCP DE&I Statement We believe that DE&I is about creating a More ❯

to non-technical audiences. Desirable Experience with recruitment performance metrics (e.g., placements, time-to-fill, consultant productivity, gross profit per consultant). Familiarity with cloud-based data warehouses (e.g., Snowflake, BigQuery). More ❯

to non-technical audiences. Desirable Experience with recruitment performance metrics (e.g., placements, time-to-fill, consultant productivity, gross profit per consultant). Familiarity with cloud-based data warehouses (e.g., Snowflake, BigQuery). More ❯

to non-technical audiences. Desirable Experience with recruitment performance metrics (e.g., placements, time-to-fill, consultant productivity, gross profit per consultant). Familiarity with cloud-based data warehouses (e.g., Snowflake, BigQuery). More ❯

. Experience with data lakes/lakehouses (Databricks, Unity Catalog). Familiarity with Data Mesh, Data Fabric, and product-led data strategies. Expertise in cloud platforms (AWS, Azure, GCP, Snowflake). Technical Skills Proficiency in big data tools (Apache Spark, Hadoop). Programming knowledge (Python, R, Java) is a plus. Understanding of ETL/ELT, SQL, NoSQL, and data visualisation More ❯

testing including unit, performance, stress, and security testing.Experience working in an agile team.Experience working in a highly regulated industry and with highly sensitive data.Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks.Experience in data science using R, Stata, or Python.Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket.Understanding of clinical trials, GCP, and GxP.What More ❯

for large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to More ❯

for large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to More ❯

for large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to More ❯

scalable, efficient, and secure data architecture. Experience with data warehousing, data lakes, ETL processes. Proficiency in logical and physical data modelling. Knowledge of cloud platforms (AWS, Azure, Google Cloud, Snowflake). Excellent communication and stakeholder management skills. Proactive approach to emerging technologies and Microsoft tech stack. More ❯

timely manner. Document processes, workflows, and technical specifications clearly and effectively. Required Skills & Experience: Proven hands-on experience with: Databricks (Spark, Delta Lake, notebooks) DBT (data modeling, transformations, testing) Snowflake (SQL, performance tuning, data warehousing) Strong understanding of data engineering principles and best practices. Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders. Experience working More ❯

Visualise insights via tools like Power BI or Tableau Support integration testing and third-party specifications What you'll bring: Strong background in data architecture and cloud platforms (e.g. Snowflake, Databricks) Cloud experience with AWS, Azure or GCP Excellent SQL and data modelling skills (data lakes, warehousing, OLTP/OLAP) Experience with access control, data migration and data governance Proficient More ❯