151 to 175 of 408 Snowflake Jobs in the UK

level relationships (CTO, CIO, CDO, COO, CFO, Heads of Engineering/Data/AI). Develop and maintain co-sell pipelines with partners such as AWS, Azure, GCP, Databricks, Snowflake, Palantir, and leading AI and security partners. Drive demand generation through events, partner initiatives, and strategic outreach. Maintain accurate forecasting and CRM discipline. Candidate Profile 10+ years of experience selling More ❯

B testing) and KPI development. Ideally you'll have prior experience in SaaS, EdTech, or B2C/B2B2C environments, experience with Python and experience working with modern data platforms (Snowflake, BigQuery, Databricks) along with an Interest in AI and how analytics can support emerging technologies. Please don't hesitate to apply for the role as interviews will be taking place More ❯

results in a concise manner both verbally and written Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience deploying and maintaining of ML models in production environments. Exposure to A/B testing More ❯

data lakes, and data pipeline design. Proven experience commercially leveraging AI to drive business outcomes. Broad technical expertise across digital, security, data, and application architectures. Experience with Databricks or Snowflake would be preferred. Experience with AWS Glue or AWS Athena would be advantageous. Confident stakeholder management and communication skills at all levels. Leadership capability within Agile or scaled Agile environments. More ❯

data lakes, and data pipeline design. Proven experience commercially leveraging AI to drive business outcomes. Broad technical expertise across digital, security, data, and application architectures. Experience with Databricks or Snowflake would be preferred. Experience with AWS Glue or AWS Athena would be advantageous. Confident stakeholder management and communication skills at all levels. Leadership capability within Agile or scaled Agile environments. More ❯

goals across the UK banking landscape. Role Overview: This individual will be an expert in selling Analytics and Data Consulting Professional Services aligned to the Azure, AWS, GCP, and Snowflake technology stack . They will have a proven background working for a Consultancy or Global System Integrator (GSI) and a consistent recent track record of generating £3m–£6m in professional More ❯

goals across the UK banking landscape. Role Overview: This individual will be an expert in selling Analytics and Data Consulting Professional Services aligned to the Azure, AWS, GCP, and Snowflake technology stack . They will have a proven background working for a Consultancy or Global System Integrator (GSI) and a consistent recent track record of generating £3m–£6m in professional More ❯

learning, LLM orchestration, RAG systems, etc Familiarity with cloud services and MLOps tooling to deploy and scale data and ML workloads cost-effectively Familiarity with data warehouses (Redshift, BigQuery, Snowflake, etc) and best practices around data pipeline tools Strong proficiency in SQL Comfort with ambiguity and short feedback loops A passion for building products that make a real-world impact More ❯

client engagements. Demonstrate expertise in LLMs (e.g., GPT-4, LLaMA) with practical implementations across financial domains. Build scalable AI architectures using cloud platforms (AWS, Azure, GCP) and integrate with Snowflake and Databricks. Ensure AI solutions adhere to governance standards and financial regulations, with a focus on ethical and compliant deployment. Your Profile: Skilled in identifying and articulating AI/ML More ❯

in solution architecture within supply chain technology. Expertise in cloud platforms (Azure, AWS, GCP), ERP integration (SAP, Oracle), and event-driven systems (Kafka). Hands-on experience with Kubernetes, Snowflake, and ML frameworks (including BYOML) Develop messaging, drive internal enablement, and demonstrate key capabilities of the Blue Yonder platform, extensibility, value added services and co-creation by Customers and partners More ❯

Proven experience building a data platform from scratch in a fast-growing tech or fintech environment Strong technical background in SQL, Python, and modern data tooling (e.g. dbt, Airflow, Snowflake, BigQuery, Looker/Tableau) Comfortable joining disparate data sources into a coherent schema and single source of truth Analytical depth — able to design experiments, measure impact, and translate numbers into More ❯

Proven experience building a data platform from scratch in a fast-growing tech or fintech environment Strong technical background in SQL, Python, and modern data tooling (e.g. dbt, Airflow, Snowflake, BigQuery, Looker/Tableau) Comfortable joining disparate data sources into a coherent schema and single source of truth Analytical depth — able to design experiments, measure impact, and translate numbers into More ❯

domains is highly desirable. Preferred Experience Engineering team lead experience Experience working on multiple projects at the same time Experience with big data analytical systems such as BigQuery, Redshift, Snowflake, Databricks, SingleStore, etc. Experience working with vulnerability scanning technologies on any part of the tech stack (e.g., SCA, SAST, DAST, IAST, VM Scanning, Container, etc.) Experience maintaining applications on Linux More ❯

the functionality of leading platforms that underpin modern finance processes. This includes, but is not limited to: Oracle/SAP/Workday/MS D365 ERP platforms Databricks/Snowflake Azure cloud PowerBI Tagetik Workiva End-to-End Solution Design: Proven experience in managing the complete solution design lifecycle within FS, encompassing general ledger, data storage, consolidation solutions, and comprehensive More ❯

cloud data platforms, ideally AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, AzureFunctions). Familiarity with modern data lakehouse environments such as Databricks, Snowflake, or Microsoft Fabric (highly desirable). Experience with Palantir Foundry or Gotham is an advantage. Relevant certifications, such as DAMA or DCAM. Core Competencies Excellent communication and stakeholder management skills More ❯

Automate. Build and optimize ML models for predictive analytics, anomaly detection, and recommendations using Azure ML, Databricks, and Python. Integrate agents with enterprise platforms such as SAP HANA, Salesforce, Snowflake, Kafka, and UiPath. Ensure observability and reliability through Azure Monitor, logging, and alerting frameworks. Define and enforce architecture patterns, reusable components, and governance standards. Lead code reviews, technical design sessions More ❯

working with Fortune 1000/Global 2000 across 34 countries and 5 continents including North America, South America, Europe, Asia, Australia, and Middle East. About the Role: Job Title - Snowflake Developer Location – Manchester, UK Mode of Work - Hybrid (4 Days onsite in week) - Mandatory Type of Hiring - Permanent Experience Level – 7+ Years Skills Mandatory Skills : Snowflake, ANSI-SQL, Dimensional Data … Modeling, Python, Snowpark Container services, Snowflake-Data Science. Mandatory Possess good knowledge in Cloud computing Very good working knowledge in data models viz Dimensional Data Model ER Data Model and Data Vault Very good working knowledge in writing SQL queries Very good working knowledge in Snowflake Architecture Very good working knowledge in Snowflake internals like Snowflake Roles dynamic tables streams More ❯

Build and optimise ETL/ELT solutions using best practices in data modelling and architecture. Collaborate with client teams to understand requirements and design tailored data solutions. Work across Snowflake, Databricks, AWS, Azure , or similar environments. Support internal projects focused on capability development, data tooling, and process improvement. Engage in stakeholder discussions to influence technical direction and project outcomes. What … 4+ years of data engineering experience , including at least 2 years hands-on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL/ELT pipelines and data warehousing principles . Strong communication and problem-solving skills. Ability to work both independently More ❯

Build and optimise ETL/ELT solutions using best practices in data modelling and architecture. Collaborate with client teams to understand requirements and design tailored data solutions. Work across Snowflake, Databricks, AWS, Azure , or similar environments. Support internal projects focused on capability development, data tooling, and process improvement. Engage in stakeholder discussions to influence technical direction and project outcomes. What … 4+ years of data engineering experience , including at least 2 years hands-on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL/ELT pipelines and data warehousing principles . Strong communication and problem-solving skills. Ability to work both independently More ❯

as Pandas, NumPy, PySpark, etc. 3+ years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines 3+ years of proficiency in working with Snowflake or similar cloud-based data warehousing solutions 3+ years of experience in data development and solutions in highly complex data environments with large data volumes. Solid understanding of ETL principles … meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack. Collaborate seamlessly across diverse technical stacks, including Databricks, Snowflake, etc. Developing various components in Python as part of a unified data pipeline framework. Contributing towards the establishment of best practices for the optimal and efficient usage of data across More ❯

you love working with modern cloud tech and turning raw data into valuable insights, this could be your next move! Highlights: • Building and maintaining top-quality data pipelines using Snowflake, DBT, and Fivetran. • Making sure data is accurate, complete, and ready for action. • Teaming up with analysts and stakeholders to deliver MI and operational reporting. • Solving problems, improving processes, and More ❯

have a number of years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines. ETL process expertise is essential. Proficiency in working with Snowflake or similar cloud-based data warehousing solutions is also essential. Experience in data development and solutions in highly complex data environments with large data volumes is also required. You will More ❯

Cognitive Services and OpenAI Proven ability to deploy Azure services and Infrastructure as Code (IaC) Deep knowledge of Terraform, automation and Infrastructure as Code (IaC) Strong working knowledge of Snowflake engineering and operations Solid understanding of security, networking, identity management and access control (automated via Terraform) Good awareness of the DevOps approach Excellent communication skills and stakeholder engagement Nice to More ❯

Application Support Manager – Investment Banking – London/Hybrid (Key skills: Application Support, Service Delivery, ITIL, Salesforce, Figaro, Invu, Snowflake, Power BI, Incident Management, Problem Management, Change Management, Application Lifecycle, Team Leadership, SLA Management, Vendor Management, Stakeholder Engagement, Continuous Improvement, Risk & Compliance, Investment Banking) Are you an experienced leader in application support, skilled in managing business-critical systems in high-pressure More ❯

Application Support Manager – Investment Banking – London/Hybrid (Key skills: Application Support, Service Delivery, ITIL, Salesforce, Figaro, Invu, Snowflake, Power BI, Incident Management, Problem Management, Change Management, Application Lifecycle, Team Leadership, SLA Management, Vendor Management, Stakeholder Engagement, Continuous Improvement, Risk & Compliance, Investment Banking) Are you an experienced leader in application support, skilled in managing business-critical systems in high-pressure More ❯