451 to 475 of 738 Snowflake Jobs in England

Senior Snowflake Developer Location: Hybrid – London - 2 days per week increasing in the New Year Day Rate - Inside around £500/day Starting ASAP for 6 months - likely to extend About the Role We’re partnering with a financial client that’s undertaking a large-scale data transformation, modernising legacy systems and building a unified analytics platform in the cloud. … As part of this initiative, you’ll play a key role in developing and optimising a Snowflake-based data warehouse and delivering high-quality visualisations and reporting through Power BI. The role offers the chance to work on greenfield architecture, migrate legacy SQL Server solutions and collaborate closely with senior stakeholders on complex, high-impact data initiatives. What You’ll … Be Doing Design, develop and maintain data pipelines and models using Snowflake, dbt and Python. Enhance and support Power BI dashboards and data models, ensuring performance, accuracy and user accessibility. Contribute to the migration of legacy SQL Server (SSIS/SSAS/SSRS) systems into a modern Snowflake/Power BI environment. Work collaboratively with business users to understand requirements More ❯

embedding them across teams and functions. About you: Proven experience leading large, cross-functional data teams in complex organisations. Deep understanding of modern data architectures, platforms, and tools (e.g. Snowflake, cloud ecosystems, AI/ML) Skilled in delivering enterprise-scale data strategies that drive measurable impact Strong leadership, stakeholder engagement, and communication skills. More ❯

embedding them across teams and functions. About you: Proven experience leading large, cross-functional data teams in complex organisations. Deep understanding of modern data architectures, platforms, and tools (e.g. Snowflake, cloud ecosystems, AI/ML) Skilled in delivering enterprise-scale data strategies that drive measurable impact Strong leadership, stakeholder engagement, and communication skills. More ❯

embedding them across teams and functions. About you: Proven experience leading large, cross-functional data teams in complex organisations. Deep understanding of modern data architectures, platforms, and tools (e.g. Snowflake, cloud ecosystems, AI/ML) Skilled in delivering enterprise-scale data strategies that drive measurable impact Strong leadership, stakeholder engagement, and communication skills. More ❯

embedding them across teams and functions. About you: Proven experience leading large, cross-functional data teams in complex organisations. Deep understanding of modern data architectures, platforms, and tools (e.g. Snowflake, cloud ecosystems, AI/ML) Skilled in delivering enterprise-scale data strategies that drive measurable impact Strong leadership, stakeholder engagement, and communication skills. More ❯

embedding them across teams and functions. About you: Proven experience leading large, cross-functional data teams in complex organisations. Deep understanding of modern data architectures, platforms, and tools (e.g. Snowflake, cloud ecosystems, AI/ML) Skilled in delivering enterprise-scale data strategies that drive measurable impact Strong leadership, stakeholder engagement, and communication skills. More ❯

embedding them across teams and functions. About you: Proven experience leading large, cross-functional data teams in complex organisations. Deep understanding of modern data architectures, platforms, and tools (e.g. Snowflake, cloud ecosystems, AI/ML) Skilled in delivering enterprise-scale data strategies that drive measurable impact Strong leadership, stakeholder engagement, and communication skills. More ❯

be responsible for troubleshooting, DevOps, and facilitating cross-platform integration in a hybrid working environment. Key Responsibilities: System Integration & Architecture Design and implement solution integrations across Databricks, ServiceNow, SAP, Snowflake, and Mulesoft . Architect containerized applications with secure connectivity to backend services. Develop and test APIs for integration across cloud and on-premises environments. Application Development & Deployment Oversee the build More ❯

re looking for: Proven experience in Azure cloud engineering and infrastructure automation. Strong knowledge of CI/CD, Kubernetes, Helm, and API management. Experience supporting data platforms (Databricks, dbt, Snowflake). Comfortable working in Agile teams and collaborating with stakeholders. Certifications like Azure Solutions Architect Expert or Terraform Associate are a plus. Why join? You’ll be part of a More ❯

re looking for: Proven experience in Azure cloud engineering and infrastructure automation. Strong knowledge of CI/CD, Kubernetes, Helm, and API management. Experience supporting data platforms (Databricks, dbt, Snowflake). Comfortable working in Agile teams and collaborating with stakeholders. Certifications like Azure Solutions Architect Expert or Terraform Associate are a plus. Why join? You’ll be part of a More ❯

re looking for: Proven experience in Azure cloud engineering and infrastructure automation. Strong knowledge of CI/CD, Kubernetes, Helm, and API management. Experience supporting data platforms (Databricks, dbt, Snowflake). Comfortable working in Agile teams and collaborating with stakeholders. Certifications like Azure Solutions Architect Expert or Terraform Associate are a plus. Why join? You’ll be part of a More ❯

engagement, and value. Experience of working with large amounts of data Skilled in designing and evaluating loyalty propositions, including financial modelling, customer segmentation, and benefit testing. Experience of Databricks, Snowflake, or BigQuery. Proven track record in measuring campaign Excellent communications skills #customerdata #insightanalyst #dataanalyst #CRM #loyalty #analyst #sql #databricks Reasonable Adjustments: Respect and equality are core values to us. We More ❯

and orchestrating workflows using tools such as AWS Glue, Azure Data Factory or Google Cloud Dataflow Working with leading data platforms like Amazon S3, Azure Synapse, Google BigQuery and Snowflake Implementing Lakehouse architectures using Databricks or Snowflake Collaborating with engineers, analysts and client teams to deliver value-focused data solutions What We’re Looking For: Strong experience with Python, SQL More ❯

GitHub). Containerization: Familiarity with Docker and Kubernetes. Core Fundamentals: Solid understanding of networking, IAM, and platform security. Database Acumen: Experience with SQL, NoSQL, and data warehouses (MySQL, DynamoDB, Snowflake). Scripting Versatility: Proficient in Bash, Python, or Go. Mentorship: Proven experience mentoring individuals and fostering team growth. Collaboration: Excellent communication and teamwork. Ready to lead critical infrastructure rebuilds and More ❯

GitHub). Containerization: Familiarity with Docker and Kubernetes. Core Fundamentals: Solid understanding of networking, IAM, and platform security. Database Acumen: Experience with SQL, NoSQL, and data warehouses (MySQL, DynamoDB, Snowflake). Scripting Versatility: Proficient in Bash, Python, or Go. Mentorship: Proven experience mentoring individuals and fostering team growth. Collaboration: Excellent communication and teamwork. Ready to lead critical infrastructure rebuilds and More ❯

robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration … Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes … of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure-as-code - Experience with More ❯

robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration … Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes … of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure-as-code - Experience with More ❯

robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration … Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes … of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure-as-code - Experience with More ❯

robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration … Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes … of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure-as-code - Experience with More ❯

robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration … Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes … of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure-as-code - Experience with More ❯

robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration … Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes … of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure-as-code - Experience with More ❯

4+ years’ experience in data architecture, automation, or AI solution development. Expertise with Microsoft Power Platform , Power Automate , and Copilot Studio . Strong understanding of cloud-based environments (Azure, Snowflake, or Databricks). Excellent stakeholder engagement skills and the ability to communicate complex concepts clearly. Automation | AI | Data Analytics | Machine Learning | Power BI | Power Automate | Copilot Studio | Microsoft Power Platform … Data Architecture | Data Engineering | Azure | Snowflake | Databricks | SQL | Process Automation | Predictive Analytics | Cloud Solutions | Digital Transformation | Industrial Automation | PLC | HMI | SCADA | IoT | Data Modelling | Data Visualisation | Business Intelligence | Agile Delivery | Continuous Improvement | Technical Leadership | Automation Strategy | Process Optimisation | Power Apps | Python | Data Governance | Data Integration | Data Warehousing | Robotics | IT Systems | Manufacturing Systems | Automation Projects | Artificial Intelligence More ❯

Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/… Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). Perks: EMI share options • Training budget • Private healthcare • Pension More ❯

Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/… Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). Perks: EMI share options • Training budget • Private healthcare • Pension More ❯

Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/… Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). Perks: EMI share options • Training budget • Private healthcare • Pension More ❯