676 to 700 of 780 Snowflake Jobs in the UK

data. Collaborate across the Security Team to develop and deliver encryption key management processes and systems. Ensure security across the Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. Data Security Engineer - Your Background The ideal Data Security Engineer will have: Experience in a More ❯

data. Collaborate across the Security Team to develop and deliver encryption key management processes and systems. Ensure security across the Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. Data Security Engineer - Your Background The ideal Data Security Engineer will have: Experience in a More ❯

time data systems. Strong track record in networks, telecom, or customer experience domains (preferred). Proficiency in cloud platforms like GCP, AWS, or Azure; plus tools like Kafka, Spark, Snowflake, Databricks. Skilled collaborator with excellent stakeholder and vendor management capabilities. Confident communicator with the ability to bridge technical and business audiences. London – Hybrid Circa £550pd Outside IR35 More ❯

time data systems. Strong track record in networks, telecom, or customer experience domains (preferred). Proficiency in cloud platforms like GCP, AWS, or Azure; plus tools like Kafka, Spark, Snowflake, Databricks. Skilled collaborator with excellent stakeholder and vendor management capabilities. Confident communicator with the ability to bridge technical and business audiences. London – Hybrid Circa £550pd Outside IR35 More ❯

Terraform Proficiency with modern DevOps and orchestration technologies such as GitHub Actions, Docker/ECR, Kubernetes/EKS, Airflow/MWAA A background in supporting large-scale data environments (Snowflake experience desirable) Excellent collaboration and communication skills, able to operate in a dynamic, fast-paced environment If you are passionate about cloud engineering and want to make an impact in More ❯

Terraform Proficiency with modern DevOps and orchestration technologies such as GitHub Actions, Docker/ECR, Kubernetes/EKS, Airflow/MWAA A background in supporting large-scale data environments (Snowflake experience desirable) Excellent collaboration and communication skills, able to operate in a dynamic, fast-paced environment If you are passionate about cloud engineering and want to make an impact in More ❯

Terraform Proficiency with modern DevOps and orchestration technologies such as GitHub Actions, Docker/ECR, Kubernetes/EKS, Airflow/MWAA A background in supporting large-scale data environments (Snowflake experience desirable) Excellent collaboration and communication skills, able to operate in a dynamic, fast-paced environment If you are passionate about cloud engineering and want to make an impact in More ❯

a Data Engineering role, ideally with some prior management or lead responsibility. A real passion for coaching and developing engineers. Hands-on experience with their tech stack - any cloud, Snowflake (or equivalent), Python, Airflow, Docker Ability to juggle multiple products and effectively gather requirements. Experience with real-time data products is a big plus. Strong communication skills and a good More ❯

evaluation. Strong communication skills for explaining complex concepts to business stakeholders. Proficiency in Python or similar tools, strong SQL skills, and experience with data visualization in tools like Tableau. Snowflake experience is desirable. Leadership experience in monitoring and developing data scientists. An understanding of data governance and quality assessment. Commitment to continuous learning and staying updated with new technologies and More ❯

Expertise in Python and SQL, with a strong grounding in statistical and machine learning techniques (e.g. scikit-learn, XGBoost, statsmodels). Experience working with modern cloud data stacks (e.g. Snowflake, BigQuery, Redshift) and transformation tools like dbt. Familiarity with A/B testing, causal inference, and techniques for forecasting or audience segmentation. Comfortable navigating complex, regulated environments with multiple stakeholders. More ❯

Expertise in Python and SQL, with a strong grounding in statistical and machine learning techniques (e.g. scikit-learn, XGBoost, statsmodels). Experience working with modern cloud data stacks (e.g. Snowflake, BigQuery, Redshift) and transformation tools like dbt. Familiarity with A/B testing, causal inference, and techniques for forecasting or audience segmentation. Comfortable navigating complex, regulated environments with multiple stakeholders. More ❯

add to the teams that build our customer facing products. You'll be iterating quickly on our modern tech stack (NodeJS/NestJs microservices, Vue, Redis, SQL Server and Snowflake) and deploying code to production (in AWS) on a regular basis as we respond rapidly to customer requirements. We are looking for candidates with TypeScript experience, although you don't More ❯

Salesforce Data Cloud Consultant certification is essential. Strong knowledge of data architecture , ETL , and integration best practices. Hands-on skills with APIs , REST/SOAP , SQL , and platforms like Snowflake , Databricks , or BigQuery, Tableau . Knowledge of wider Salesforce ecosystem (e.g., Marketing Cloud, Sales Cloud, Loyalty Management) is a bonus. Why Apply? Work on large-scale, enterprise cloud transformations with More ❯

Salesforce Data Cloud Consultant certification is essential. Strong knowledge of data architecture , ETL , and integration best practices. Hands-on skills with APIs , REST/SOAP , SQL , and platforms like Snowflake , Databricks , or BigQuery, Tableau . Knowledge of wider Salesforce ecosystem (e.g., Marketing Cloud, Sales Cloud, Loyalty Management) is a bonus. Why Apply? Work on large-scale, enterprise cloud transformations with 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 ❯

on user feedback What you'll bring 4+ years professional Node.js experience, including production microservices or data pipelines Hands-on expertise with columnar/OLAP databases (ClickHouse, BigQuery, Redshift, Snowflake or similar) Proven track record scaling ingestion systems that hit rate limits, retries and back-off logic across multiple third-party APIs Solid understanding of modern API design (REST) and More ❯

on user feedback What you'll bring 4+ years professional Node.js experience, including production microservices or data pipelines Hands-on expertise with columnar/OLAP databases (ClickHouse, BigQuery, Redshift, Snowflake or similar) Proven track record scaling ingestion systems that hit rate limits, retries and back-off logic across multiple third-party APIs Solid understanding of modern API design (REST) and More ❯

on user feedback What you'll bring 4+ years professional Node.js experience, including production microservices or data pipelines Hands-on expertise with columnar/OLAP databases (ClickHouse, BigQuery, Redshift, Snowflake or similar) Proven track record scaling ingestion systems that hit rate limits, retries and back-off logic across multiple third-party APIs Solid understanding of modern API design (REST) and More ❯

a Data Engineering role, ideally with some prior management or lead responsibility. A real passion for coaching and developing engineers. Hands-on experience with their tech stack - any cloud, Snowflake (or equivalent), Python, Airflow, Docker Ability to juggle multiple products and effectively gather requirements. Experience with real-time data products is a big plus. Strong communication skills and a good More ❯

React) Excellent communication and stakeholder management skills Preferred Experience with other systems such as LabWare, LabVantage, IDBS, SampleManager, Nugenesis, Empower Experience in cloud-based technologies (e.g. AWS, Kubernetes, Kafka, Snowflake, MongoDB, Oracle, JBoss) Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: High analytical skills A high degree More ❯

React) Excellent communication and stakeholder management skills Preferred Experience with other systems such as LabWare, LabVantage, IDBS, SampleManager, Nugenesis, Empower Experience in cloud-based technologies (e.g. AWS, Kubernetes, Kafka, Snowflake, MongoDB, Oracle, JBoss) Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: High analytical skills A high degree More ❯

React) Excellent communication and stakeholder management skills Preferred Experience with other systems such as LabWare, LabVantage, IDBS, SampleManager, Nugenesis, Empower Experience in cloud-based technologies (e.g. AWS, Kubernetes, Kafka, Snowflake, MongoDB, Oracle, JBoss) Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: High analytical skills A high degree More ❯

Hugging Face, LangChain. MLOps and deployment: Docker, Kubernetes, Azure ML Studio, MLFlow. Cloud and AI infrastructure: Experience with Azure Cloud for scalable deployment. Databases and data platforms: SQL, NoSQL, Snowflake, Databricks. OUR VALUES: CURIOSITY, OPTIMISM, AMBITION, EMPATHY We are a growing team committed to diversity, inclusion, and a positive culture, focusing on solutions, growth, and mutual support. TEAM CULTURE We More ❯

data capabilities including agile, such as Scaled Agile Framework (SAFe) and DevOps strategies Modern cloud platforms such as AWS, GCP, Azure alongside significant ISV’s such as Redhat, Databricks, Snowflake etc. Proposal and/or Statement of Work experience Have built, integrated and delivered enterprise-wide solutions Demonstrated experience in utilising flexible engagement models to deliver practice based services Strong More ❯

data capabilities including agile, such as Scaled Agile Framework (SAFe) and DevOps strategies Modern cloud platforms such as AWS, GCP, Azure alongside significant ISV’s such as Redhat, Databricks, Snowflake etc. Proposal and/or Statement of Work experience Have built, integrated and delivered enterprise-wide solutions Demonstrated experience in utilising flexible engagement models to deliver practice based services Strong More ❯