176 to 200 of 286 Snowflake Jobs in London

forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with More ❯

forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with More ❯

Experience with Azure Functions is a plus Demonstrated experience building APIs to support analytics/research/actuarial functions in an insurance company setting Experience with cloud technologies like Snowflake and Databricks Familiarity with the MLOps framework Required Skills Exceptional collaboration and relationship building skills Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces Resilient problem solving More ❯

Experience with Azure Functions is a plus Demonstrated experience building APIs to support analytics/research/actuarial functions in an insurance company setting Experience with cloud technologies like Snowflake and Databricks Familiarity with the MLOps framework Required Skills Exceptional collaboration and relationship building skills Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces Resilient problem solving More ❯

delivery. Passionate about the real-world impact of AI and emerging technologies. Nice to Have Experience in sectors like telco, financial services, or retail. Knowledge of tools like Databricks, Snowflake, or Azure ML. Understanding of generative AI use cases and deployment frameworks. Why this opportunity? Work on complex, strategic programmes that blend consulting with hands-on innovation. Collaborate with a More ❯

We are looking for an MI Analyst who has core experience working with Tableau desktop (essential) and server (preferrable) and SQL experience. Prior experience with Snowflake is preferred but not required. The MI analyst will be a self-starter, will have excellent communication skills and be comfortable working directly with stakeholders. The MI analyst will be solely assigned to the More ❯

Science or equivalent. Demonstrated experience in data analysis (2+ years). Excellent verbal and written communication skills. Experience with and understanding of: Version control - Git, GitHub Use of databases - Snowflake, postgresql or mysql Data Science techniques - Machine Learning, Artificial Intelligence, Statistical algorithms Cloud technologies - AWS or GCP What We'd Love: Experience of working across functional teams Masters or PhD More ❯

a Serverless Lambda backend on AWS . We're using Typescript top to bottom , and Apollo GraphQL sits in the middle. We keep our data in DynamoDB , Postgres , and Snowflake , using one or the other as best suits a particular workload. You can learn more about our tech stack at While we're looking for talented and driven individuals our More ❯

Native (iOS and Android) Typescript GraphQL (Apollo Client) Fastlane SwiftUI (Apple Watch) Maestro E2E tests Backend: Serverless (AWS) Lambdas (NodeJS & Python) AWS AppSync DynamoDB, S3, SQS, SNS, EventBridge, SageMaker Snowflake All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect/Play Store Google Tag Manager Salary and Benefits: We offer a salary of More ❯

Principal Data Engineer/Architect (Snowflake AWS SQL Python) London/WFH to £140k Opportunity to progress your career in an impactful Principal Data Engineer role at a growing technology company as they scale their UK presence. As a Principal Data Engineer you will lead the architecture and design of the Data Platform using Snowflake and AWS. Collaborating with product … twice a week. About you: You are a highly technical Data Engineer/Architect with experience of designing data lakes, data pipelines and meta data management You have strong Snowflake and AWS data services experience You have advanced SQL and Python coding skills You have hands-on ETL/ELT experience You have a good knowledge of best practices in … s in it for you: Salary to £140k Impactful role at a scaling company Flexible working Apply now to find out more about this Principal Data Engineer/Architect (Snowflake AWS SQL Python) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer More ❯

Principal Data Engineer/Architect (Snowflake AWS SQL Python) London/WFH to £140k Opportunity to progress your career in an impactful Principal Data Engineer role at a growing technology company as they scale their UK presence. As a Principal Data Engineer you will lead the architecture and design of the Data Platform using Snowflake and AWS. Collaborating with product … twice a week. About you: You are a highly technical Data Engineer/Architect with experience of designing data lakes, data pipelines and meta data management You have strong Snowflake and AWS data services experience You have advanced SQL and Python coding skills You have hands-on ETL/ELT experience You have a good knowledge of best practices in … s in it for you: Salary to £140k Impactful role at a scaling company Flexible working Apply now to find out more about this Principal Data Engineer/Architect (Snowflake AWS SQL Python) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer More ❯

full data lifecycle-from design and development to deployment and optimisation is highly desirable. Strong knowledge and experience ofdata pipelines, data modelling, database design, and data warehousing. Proficiency in Snowflake, Power BI and medallion architecture. Ideal candidates will have been accountable for building out a data platform capability on GCP Big Query or Snowflake, implementing a medallion model and creating … full data lifecycle-from design and development to deployment and optimisation is highly desirable. Strong knowledge and experience ofdata pipelines, data modelling, database design, and data warehousing. Proficiency in Snowflake, Power BI and medallion architecture. Ideal candidates will have been accountable for building out a data platform capability on GCP Big Query or Snowflake, implementing a medallion model and creating More ❯

of data pipelines. Demonstrated ability to design and implement data integration and conversion pipelines using ETL/ELT tools, accelerators, and frameworks such as Azure Data Factory, Azure Synapse, Snowflake (Cloud), SSIS, or custom scripts. Skilled in developing reusable ETL frameworks for data processing. Proficient in at least one programming language commonly used for data manipulation and scripting, including Python … as Code. Advanced SQL skills and experience working with relational databases like PostgreSQL, SQL Server, Oracle, and MySQL. Experience implementing solutions on cloud-based data platforms such as Azure, Snowflake, Google Cloud, and related accelerators. Experience with developing and deploying containerised microservices architectures. Understanding of data modelling techniques, including star schema, snowflake schema, and third normal form (3NF). Proven More ❯

working with a London base (flexibility offered) High-impact role with a growing, values-driven data team Platform-focused, mission-led engineering Work with a modern cloud-native stack (Snowflake, DBT, Airflow, Terraform, AWS) What You'll Be Doing Serve as the technical lead for cross-functional data initiatives Define and champion best practices for building scalable, governed, high-quality … comfortable leading discussions with both technical and non-technical stakeholders A collaborative mindset and passion for coaching others Tech Environment Cloud : AWS (Kinesis, Lambda, S3, ECS, etc.) Data Warehouse : Snowflake Transformation & Orchestration : Python, DBT, Airflow IaC & DevOps : Terraform, GitHub Actions, Jenkins Monitoring & Governance : Monte Carlo, Collate Interested? If you're excited about platform-level ownership, technical influence, and building systems More ❯

powers our real-time and batch monitoring capabilities, including: A custom alerting and orchestration platform, built on Airflow, that enables scalable, auditable detection pipelines. Data pipelines in DBT and Snowflake that serve both ML models and rule-based logic. Backend services and APIs that handle case management, automated decisioning, merchant termination workflows, and integrations with adjacent platform services. We collaborate … our Airflow-based alerting platform, enabling analysts to deploy and manage DAGs safely and effectively. Contribute to the development and maintenance of DBT models and data pipelines integrated with Snowflake to support detection logic, ML models, and investigations. Integrate internal systems with third-party fraud and AML tools, as well as external APIs. Take ownership of features and services throughout More ❯

A team to optimise performance our existing data models, making them more cost effective & run faster. Implement DBT best practices for modularity, reusability, and incremental builds to significantly reduce Snowflake compute and storage costs. Monitor data pipeline performance and identify areas for optimisation to ensure efficient data processing. Create New Scalable Data Models: Develop new, robust, and well-documented data … business areas, ensuring data consistency and reliability across the organisation. Work closely with analysts to understand their data needs and translate them into efficient data structures. Utilise DBT and Snowflake daily to create and maintain robust and scalable BI&A data models. Drive improvements in data processes to enable us to scale and automate tasks where possible Support AI Usage More ❯

this kind of experience, but it would be a huge plus. There's a modern data tech stack in place and recent projects have included an Azure migration and Snowflake implementation. There are no plans to stop here and your ideas and strategies may well involve some new platforms to help you achieve your goals. It's a multi-faceted More ❯

this kind of experience, but it would be a huge plus. There's a modern data tech stack in place and recent projects have included an Azure migration and Snowflake implementation. There are no plans to stop here and your ideas and strategies may well involve some new platforms to help you achieve your goals. It's a multi-faceted More ❯

your work and that of others effectively to ensure timely and value-added delivery. Technical knowledge: Data Management practices and Data Management tools (Cloud native or other) e.g. Collibra, Snowflake; Google’s Dataplex Data Analytics practices and tools AI Governance Frameworks, laws and regulations (including intersection with data privacy laws and regulations) Understanding of emerging AI technologies and practices More ❯

your work and that of others effectively to ensure timely and value-added delivery. Technical knowledge: Data Management practices and Data Management tools (Cloud native or other) e.g. Collibra, Snowflake; Google’s Dataplex Data Analytics practices and tools AI Governance Frameworks, laws and regulations (including intersection with data privacy laws and regulations) Understanding of emerging AI technologies and practices More ❯

Experience Cloud, Data Hub , and NPSP . Understanding of architecture design in cloud environments, especially Azure . Exposure to integration tools such as Informatica IICS or data platforms like Snowflake . Previous experience in the not-for-profit or public sector. Application This is a fantastic opportunity to shape the future of a nationally respected organisation and play a key More ❯

experimentation and deployment. 🛠️ Key Responsibilities Build and maintain high-performance data pipelines to power AI/ML use cases Architect cloud-native data platforms using tools like Databricks , Airflow , Snowflake , and Spark Collaborate with AI/ML teams to align data processing with model requirements Develop ETL/ELT workflows to support feature engineering, model training, and inference Optimise data … or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake , Airflow Solid grasp of data modelling, orchestration, and infrastructure-as-code (Terraform, Docker, CI/CD) Excellent communication and client-facing skills—comfortable leading on technical delivery 🎁 What’s on More ❯

experimentation and deployment. 🛠️ Key Responsibilities Build and maintain high-performance data pipelines to power AI/ML use cases Architect cloud-native data platforms using tools like Databricks , Airflow , Snowflake , and Spark Collaborate with AI/ML teams to align data processing with model requirements Develop ETL/ELT workflows to support feature engineering, model training, and inference Optimise data … or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake , Airflow Solid grasp of data modelling, orchestration, and infrastructure-as-code (Terraform, Docker, CI/CD) Excellent communication and client-facing skills—comfortable leading on technical delivery 🎁 What’s on More ❯

training, while also mentoring customers to foster self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock … their teams. Translate key business requirements into effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving … analytics Deep understanding of at least one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability to shifting customer requirements More ❯

training, while also mentoring customers to foster self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock … their teams. Translate key business requirements into effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist customers in resolving … analytics Deep understanding of at least one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability to shifting customer requirements More ❯