151 to 175 of 366 Snowflake Jobs in England

some experience in ML model deployment Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required) Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus) Experience with or willingness to learn CI/CD tooling (e.g. GitHub Actions), containerization (Docker), and workflow orchestration tools (Airflow/AstroCloud) Strong debugging and troubleshooting skills More ❯

some experience in ML model deployment Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required) Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus) Experience with or willingness to learn CI/CD tooling (e.g. GitHub Actions), containerization (Docker), and workflow orchestration tools (Airflow/AstroCloud) Strong debugging and troubleshooting skills More ❯

some experience in ML model deployment Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required) Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus) Experience with or willingness to learn CI/CD tooling (e.g. GitHub Actions), containerization (Docker), and workflow orchestration tools (Airflow/AstroCloud) Strong debugging and troubleshooting skills More ❯

some experience in ML model deployment Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required) Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus) Experience with or willingness to learn CI/CD tooling (e.g. GitHub Actions), containerization (Docker), and workflow orchestration tools (Airflow/AstroCloud) Strong debugging and troubleshooting skills More ❯

Strong SQL skills (joins, CTEs, window functions, query optimisation). Experience building dashboards in Power BI (preferred) or Tableau, including DAX and data modelling. Familiarity with cloud data warehouses (Snowflake preferred). Advanced Excel skills and ability to communicate findings to non-technical audiences. Curiosity, problem-solving mindset, and the drive to turn data into practical business solutions. Bonus: exposure More ❯

efforts with detailed recommendations. Establish and maintain data governance practices to ensure data quality and security. Identify opportunities to integrate and streamline data using tools like Google BigQuery and Snowflake New Business Development Provide insights and data support for new business pitches and case study development. Collaborate with teams to analyse user behaviour and campaign performance for prospective clients. About More ❯

dynamic and fast-paced environment. Strong understanding of SaaS metrics, customer analytics, and industry-specific KPIs. Proficiency in tools like Tableau, Power BI, SQL, and cloud platforms such as Snowflake or AWS. Expertise in data governance and compliance within the UK and EU regulatory context. Bachelor's Degree in Data Science, Computer Science, or Business Analytics (Master's degree preferred More ❯

environments Demonstrated ability to translate ambiguous business problems into scalable, production-ready data science solutions Hands-on experience with cloud platforms (AWS, GCP, Azure) and tools such as Databricks, Snowflake, and BigQuery Exceptional communication and stakeholder management skills, with the ability to influence decision-making across technical and non-technical teams Desirable skills Familiarity with real-time model serving, monitoring More ❯

integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks Proven project experience developing and maintaining data warehouses in big data solutions (Snowflake) Expert knowledge in Apache technologies such as Kafka, Airflow, and Spark to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that capture, explore, transform … SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks) Proficiency in the design and implementation of modern data architectures (ideally Azure, AWS. Microsoft Fabric, GCP, Data Factory) and modern data warehouse technologies (Snowflake, Databricks) Experience with database technologies More ❯

Kubrick Group NA# Snowflake Centre of Excellence LeadLondon, United KingdomShare this job with your network Job Description/Summary Role Purpose:As part of our Core Practice, you will be joining a tight knit team of motivated technology professionals where ongoing learning and development are central to our ethos and internal culture. You will work closely with our wider technical … delivery function, our sales team, and our partner management team with a particular focus on growing our relationship with Snowflake.Lead the establishment of Kubrick's Snowflake Centre of Excellence, collaborating with Capability Leads to ensure the organization maintains the expertise and experience needed across all core disciplines to deliver high-quality Snowflake solutions efficientlyTake ownership of developing Snowflake-focused intellectual … property, including best practices, accelerators, reusable frameworks, and reference architecturesStrengthen our Snowflake partnership by leveraging technical credibility to build trusted relationships with architecture and engineering stakeholders at SnowflakeProvide technical assurance on delivery projects, ensuring that all solutions adhere to established Snowflake implementation best practicesContribute to pre-sales activities by shaping proposals, supporting client workshops and meetings, publishing thought leadership content More ❯

and chairing CAB - Improving efficiency through automating solutions - Oversee system enhancements and software upgrades - Oversee data engineering process - ETL/ELT pipelines with Azure Data Factory - Drive development of Snowflake Data Warehouse - Digital roadmap development - IT projects To be considered suitable you will need the following skills/experience: - Understanding of the Microsoft Power Platform - Understanding of SDLC - Team management More ❯

and chairing CAB - Improving efficiency through automating solutions - Oversee system enhancements and software upgrades - Oversee data engineering process - ETL/ELT pipelines with Azure Data Factory - Drive development of Snowflake Data Warehouse - Digital roadmap development - IT projects To be considered suitable you will need the following skills/experience: - Understanding of the Microsoft Power Platform - Understanding of SDLC - Team management More ❯

large, complex and messy data sources. Ability to work independently, take initiative and communicate effectively within the team. Nice to have: Experience working with modern cloud data warehouses like Snowflake or BigQuery. Experience working with vector databases (e.g. Qdrant) Experience/understanding of data requirements for large-scale ML training. Experience working in a fast-paced start-up environment. Some More ❯

large, complex and messy data sources. Ability to work independently, take initiative and communicate effectively within the team. Nice to have: Experience working with modern cloud data warehouses like Snowflake or BigQuery. Experience working with vector databases (e.g. Qdrant) Experience/understanding of data requirements for large-scale ML training. Experience working in a fast-paced start-up environment. Some More ❯

large, complex and messy data sources. Ability to work independently, take initiative and communicate effectively within the team. Nice to have: Experience working with modern cloud data warehouses like Snowflake or BigQuery. Experience working with vector databases (e.g. Qdrant) Experience/understanding of data requirements for large-scale ML training. Experience working in a fast-paced start-up environment. Some More ❯

large, complex and messy data sources. Ability to work independently, take initiative and communicate effectively within the team. Nice to have: Experience working with modern cloud data warehouses like Snowflake or BigQuery. Experience working with vector databases (e.g. Qdrant) Experience/understanding of data requirements for large-scale ML training. Experience working in a fast-paced start-up environment. Some More ❯

large, complex and messy data sources. Ability to work independently, take initiative and communicate effectively within the team. Nice to have: Experience working with modern cloud data warehouses like Snowflake or BigQuery. Experience working with vector databases (e.g. Qdrant) Experience/understanding of data requirements for large-scale ML training. Experience working in a fast-paced start-up environment. Some More ❯

offerings. Representing the business at client meetings, industry events, and marketing initiatives. What You'll Need to Succeed: Strong expertise in cloud analytics, data warehousing, and modern data architectures (Snowflake, Matillion, Power BI, or similar). Proven ability to engage and influence senior stakeholders. Consulting experience, with a track record of delivering successful, high-impact data projects. Leadership and team More ❯

We’re Looking For Strong technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience More ❯

an inclusive and collaborative culture, encouraging peer to peer feedback and evolving healthy, curious and humble teams. Tech Stack: Python, Javascript/Typescript, React/React Native, AWS, GraphQL, Snowflake, Airflow, DDD. This is an incredible opportunity for a Senior Software Engineer to join a unique company as they embark on a period of significant growth to take their fantastic More ❯

an inclusive and collaborative culture, encouraging peer to peer feedback and evolving healthy, curious and humble teams. Tech Stack: Python, Javascript/Typescript, React/React Native, AWS, GraphQL, Snowflake, Airflow, DDD. This is an incredible opportunity for a Senior Software Engineer to join a unique company as they embark on a period of significant growth to take their fantastic More ❯

an inclusive and collaborative culture, encouraging peer to peer feedback and evolving healthy, curious and humble teams. Tech Stack: Python, Javascript/Typescript, React/React Native, AWS, GraphQL, Snowflake, Airflow, DDD. This is an incredible opportunity for a Senior Software Engineer to join a unique company as they embark on a period of significant growth to take their fantastic More ❯

Desirable: Experience with subscription, e-commerce, or digital product businesses. Knowledge of causal inference, A/B testing frameworks, or incrementality modelling. Exposure to modern data stacks (e.g. dbt, Snowflake, GCP/Azure). Interview Process Introductory with the hiring manager. Technical task and panel interview (covering task presentation and competency questions). Final interview with senior stakeholders. How to More ❯

Desirable: Experience with subscription, e-commerce, or digital product businesses. Knowledge of causal inference, A/B testing frameworks, or incrementality modelling. Exposure to modern data stacks (e.g. dbt, Snowflake, GCP/Azure). Interview Process Introductory with the hiring manager. Technical task and panel interview (covering task presentation and competency questions). Final interview with senior stakeholders. How to More ❯

Desirable: Experience with subscription, e-commerce, or digital product businesses. Knowledge of causal inference, A/B testing frameworks, or incrementality modelling. Exposure to modern data stacks (e.g. dbt, Snowflake, GCP/Azure). Interview Process Introductory with the hiring manager. Technical task and panel interview (covering task presentation and competency questions). Final interview with senior stakeholders. How to More ❯