376 to 400 of 573 Snowflake Jobs in the UK

optimize SQL queries, ensuring data integrity, performance, and scalability, using best practices and techniques * Data vault Model implementation: Implement flexible Data vault model in Snowflake to support large-scale analytics and business intelligence. * Cross-Team Collaboration: Collaborate with Data Engineers, Product Managers, and Data Scientists to deliver solutions that support … ensuring accurate and consistent data flows across all systems. * Cloud & Infrastructure Support: Work with cloud platforms such as AWS/Azure and DBT with Snowflake to build and maintain scalable data solutions. * Continuous Improvement: Proactively look for ways to improve data systems, processes, and tools, ensuring efficiency and scalability. Key … ETL/ELT & Data Pipelines: Solid understanding of ETL/ELT processes, along with hands-on experience building and maintaining data pipelines using DBT, Snowflake, Python, SQL, Terraform and Airflow * Experience in designing and implementing data products and solutions on cloud-based architectures. * Cloud Platforms: Experience working with cloud data More ❯

. Develop custom security applications, APIs, AI/ML models, and advanced analytic technologies. Experience with threat detection in Azure Sentinel, Databricks, MPP Databases (Snowflake), or Splunk. Expertise in network, endpoint, and cloud security, cryptography, malware analysis, vulnerability assessment, anomaly/intrusion detection, incident response, and offensive security. Proficiency in … AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background Degree in cybersecurity More ❯

. Develop custom security applications, APIs, AI/ML models, and advanced analytic technologies. Experience with threat detection in Azure Sentinel, Databricks, MPP Databases (Snowflake), or Splunk. Expertise in network, endpoint, and cloud security, cryptography, malware analysis, vulnerability assessment, anomaly/intrusion detection, incident response, and offensive security. Proficiency in … AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background Degree in cybersecurity More ❯

Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits … from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance … Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps More ❯

Senior Manager - Wealth Asset Management & Cloud Data Platforms, Snowflake, AI & Data, Financial Services Edinburgh/London Based The EY Financial Services AI & Data team is continuing to grow and develop unique data engineering propositions aligned to market needs and demand. We are currently looking for exceptional Senior Manager level consultants … Grow our relationships with key alliance partners Skills and attributes for success • Experience in designing cloud data platform solutions • In depth knowledge of the Snowflake platform and capabilities • Relevant experience of working with other cloud data platform solutions such as Databricks, GCP BigQuery, Microsoft Azure or AWS offerings would also More ❯

testing and peer review of ETL code in Oracle ODI Working with business users to design and configure self-serve data environments within our snowflake data lake Analysing, developing, delivering, and managing BI reports Assisting in the design of the data processes, including data quality, reconciliation, testing, and governance Contributing … ll need all of these. Experience of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI Significant database experience in Snowflake or Oracle Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI More ❯

testing and peer review of ETL code in Oracle ODI Working with business users to design and configure self-serve data environments within our snowflake data lake Analysing, developing, delivering, and managing BI reports Assisting in the design of the data processes, including data quality, reconciliation, testing, and governance Contributing … ll need all of these. Experience of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI Significant database experience in Snowflake or Oracle Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI More ❯

work across and support multiple analytics projects. To operate within these technically focused teams you will have the following: An expert in testing Oracle, Snowflake and Postgres databases and data warehouses. Hands on experience of delivering fully reconciled Facts and Dimensions and accurate end user reports. Knowledge of Data Warehouse … data and to validate business rules/requirements. Skilled in using querying tools such as SQL Developer and PostgreSQL/DBeaver. Proficient in using Snowflake for data lake testing. Experience of working with and using ETL tools such as ODI. Proficient with reporting tools such as Power BI and OAS. More ❯

work across and support multiple analytics projects. To operate within these technically focused teams you will have the following: - An expert in testing Oracle, Snowflake and Postgres databases and data warehouses. Hands on experience of delivering fully reconciled Facts and Dimensions and accurate end user reports. Knowledge of Data Warehouse … data and to validate business rules/requirements. Skilled in using querying tools such as SQL Developer and PostgreSQL/DBeaver Proficient in using Snowflake for data lake testing Experience of working with and using ETL tools such as ODI Proficient with reporting tools such as Power BI and OAS More ❯

work across and support multiple analytics projects. To operate within these technically focused teams you will have the following: - An expert in testing Oracle, Snowflake and Postgres databases and data warehouses. Hands on experience of delivering fully reconciled Facts and Dimensions and accurate end user reports. Knowledge of Data Warehouse … data and to validate business rules/requirements. Skilled in using querying tools such as SQL Developer and PostgreSQL/DBeaver Proficient in using Snowflake for data lake testing Experience of working with and using ETL tools such as ODI Proficient with reporting tools such as Power BI and OAS More ❯

Senior Database Consultant EST/GMT Remote - Remote Why Pythian: At Pythian, we are experts in strategic database and analytics services, driving digital transformation and operational excellence. Pythian, a multinational company, was founded in 1997 and started by ensuring the More ❯

/day - "Outside IR35". 3 Months Initial - Hybrid (London). 3 Month initial contract opportunity for a Data Engineer, with AWS, Terraform, Python & Snowflake experience - ideally you will have experience with Aurora, Kinesis, Firehose & S3. What you'll be doing Working between your home office & their offices in London … product lines and building out data sources. What experience you'll need to apply for this role Data Engineer (Senior). AWS, Terraform, Python & Snowflake (Advanced-Expert). Aurora, Kinesis, Firehose & S3 (Desirable). What you'll get in return for your experience The daily rate is £500 - £550 p More ❯

Build the future of the AI Data Cloud. Join the Snowflake team. Snowflake is growing fast and we're scaling our team to help enable and accelerate our growth. We're passionate about our people, our customers, our values and our culture! We're also looking for people with a … growth mindset and the pragmatic insight to solve for today while building for the future. And as a Snowflake employee, you will be accountable for supporting and enabling diversity and belonging. This role is a unique opportunity to contribute in a meaningful way to high visibility, high impact projects at … a very exciting time for the company. Snowflake is an innovative, high-growth, customer-focused company in a large and growing market. If you are an energetic, self-managed professional with experience leading complex sales processes and possess excellent presentation and listening skills, organization and contact management capabilities, we'd More ❯

implement new data sources, data flows, automated processes and database structures. The ideal candidate will have strong knowledge of SQL and good skills in Snowflake, Azure and Python. However, this client does take an agnostic approach to technology and would be open to other skillsets too. Remit You will be … tasked with building data sources, data flows, automated processes and database structures. Building & managing a Snowflake ecosystem to support streaming and batch workflows, that allows end user teams to access data, build reports, and leverage automation tools. Supporting adoption of GenAI tools and techniques and leading platform innovation with Snowflake … and Microsoft. Ideal experience & Background Strong experience with Snowflake (SQL scripting DDL and DML) Good knowledge of Azure Data Factory and Azure DevOps Experience with Python Experience working in an Agile environment If you are an experienced Senior Data Engineer with the required skills, please respond with an up to More ❯

Lead adoption of cloud-native tools and AI/ML solutions, with a focus on Azure services Modern Stack Implementation : Champion best practices using Snowflake, dbt, and related technologies Cross-functional Collaboration : Align business needs with technical execution across diverse stakeholder groups Innovation Mindset : Stay current with GenAI, LLM applications … and emerging trends in enterprise data Essential Experience Enterprise architecture experience in data engineering or cloud platforms Proficiency in Snowflake , dbt , and Azure AI/ML services Strong data modeling and data warehousing capabilities Familiarity with event-driven, serverless, and scalable architecture patterns Understanding of data governance and compliance frameworks … Hands-on coding with SQL , Python , or Spark Certifications in Azure, AWS, or Snowflake Exposure to CDO office initiatives or data democratization programs Understanding of Generative AI and Large Language Models in enterprise contexts Location : London (Hybrid) Eligibility : Applicants must have current UK work authorization – sponsorship is not available. More ❯

Lead adoption of cloud-native tools and AI/ML solutions, with a focus on Azure services Modern Stack Implementation : Champion best practices using Snowflake, dbt, and related technologies Cross-functional Collaboration : Align business needs with technical execution across diverse stakeholder groups Innovation Mindset : Stay current with GenAI, LLM applications … and emerging trends in enterprise data Essential Experience Enterprise architecture experience in data engineering or cloud platforms Proficiency in Snowflake , dbt , and Azure AI/ML services Strong data modeling and data warehousing capabilities Familiarity with event-driven, serverless, and scalable architecture patterns Understanding of data governance and compliance frameworks … Hands-on coding with SQL , Python , or Spark Certifications in Azure, AWS, or Snowflake Exposure to CDO office initiatives or data democratization programs Understanding of Generative AI and Large Language Models in enterprise contexts Location : London (Hybrid) Eligibility : Applicants must have current UK work authorization – sponsorship is not available. More ❯

Data platform. This role requires a deep understanding of modern data architectures, cloud technologies, and AI/ML frameworks with hands-on expertise in Snowflake, dbt, and Azure AI/ML services. Key responsibilities: Architect & Design: Define and evolve the Data platform architecture, ensuring scalability, security, and cost-effectiveness Data … AI/ML Initiatives: Lead Azure AI/ML adoption, integrating advanced analytics and machine learning capabilities Modern Data Stack: Oversee the implementation of Snowflake, dbt, and other data processing frameworks for optimal performance Stakeholder Collaboration: Engage with senior leadership, data engineering teams, and business stakeholders to align technology with … industry best practices Your Profile Essential skills/knowledge/experience: Experience in Enterprise Architecture, Data Engineering, or Cloud Data Platforms Proven expertise in Snowflake, dbt, and Azure AI/ML Strong background in data modelling, ETL/ELT pipelines, and data warehousing Experience designing scalable, event-driven, and serverless More ❯

Data platform. This role requires a deep understanding of modern data architectures, cloud technologies, and AI/ML frameworks with hands-on expertise in Snowflake, dbt, and Azure AI/ML services. Key responsibilities: Architect & Design: Define and evolve the Data platform architecture, ensuring scalability, security, and cost-effectiveness Data … AI/ML Initiatives: Lead Azure AI/ML adoption, integrating advanced analytics and machine learning capabilities Modern Data Stack: Oversee the implementation of Snowflake, dbt, and other data processing frameworks for optimal performance Stakeholder Collaboration: Engage with senior leadership, data engineering teams, and business stakeholders to align technology with … industry best practices Your Profile Essential skills/knowledge/experience: Experience in Enterprise Architecture, Data Engineering, or Cloud Data Platforms Proven expertise in Snowflake, dbt, and Azure AI/ML Strong background in data modelling, ETL/ELT pipelines, and data warehousing Experience designing scalable, event-driven, and serverless More ❯

deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform infrastructure (AWS or … highly available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform infrastructure (AWS or … highly available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform infrastructure (AWS or … highly available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform infrastructure (AWS or … highly available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform infrastructure (AWS or … highly available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform infrastructure (AWS or … highly available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform infrastructure (AWS or … highly available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯