10 of 10 Permanent Snowflake Jobs in Bristol

tick all of these areas: Knowledge and interest in financial services and products Proven background of working in an analytical role Experience working with cloud data platforms such as Snowflake, Google (Big Query), AWS (Redshift), Azure or others Fluent in SQL Expert in data manipulation and analysis to provide actionable insights through data storytelling Experience using data analysis languages like 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 ❯

working autonomously while contributing as part of a multi-disciplinary team. Desirable: Awareness of UX principles and best practices in dashboard design. Experience with cloud data platforms (e.g. Databricks, Snowflake). A degree in a numerate discipline. What’s on Offer A 10% annual bonus 25 days’ paid holiday plus the option to buy additional days, with extra days awarded More ❯

building dashboards in Tableau Strong SQL skills End-to-end experience on analytics projects, from requirements gathering to build and support Experience with cloud data platforms like Databricks or Snowflake What youll get in return for your experience This is a fixed term contract role paying the equating of a £65,000 per annum salary, on a contract basis, plus More ❯

years of professional experience in Data Extensive experience in data and analytics consulting, with a track record of leading strategic programmes Deep technical expertise in cloud data platforms (e.g. Snowflake, Databricks, Matillion) and data architecture Strong stakeholder engagement skills, including experience working with board-level clients A commercial mindset and ability to align delivery with business outcomes A passion for More ❯

drive operational performance. Define and lead the execution of a comprehensive data strategy and roadmap , elevating the organisation's data maturity. Own and manage our data technology stack (AWS, Snowflake, Kleene, Tableau), including vendor management and platform optimisation. Collaborate cross-functionally with teams (Sales, New Homes, Leasehold, Compliance, Marketing, IT, People, Finance, etc.) to maximise existing systems and drive continuous … Tableau essential; Looker is a plus but not required). Strong SQL skills and a solid understanding of ETL processes and data pipelines. Experience working with data platforms (e.g., Snowflake , AWS , Kleene ) is highly desirable. Exposure to or interest in the financial services, or purpose-driven sectors is a plus. Oscar Associates (UK) Limited is acting as an Employment Agency More ❯

services using Azure and Databricks Managing caching layers with Azure Cache (Redis) Using Delta Live Tables for data processing and analytics Integrating with cloud-based data storage solutions like Snowflake Collaborating with cross-functional teams in an agile environment Supporting analytics, model deployment, and data-driven decision tools Conducting performance, load, and end-to-end testing Writing pipeline code and … Azure DevOps (GitHub) What we're looking for from the Machine Learning Operations Engineer: Solid experience in ML Ops, particularly with Azure and Databricks Familiarity with Postgres, Redis, and Snowflake Understanding of Delta Lake Architecture, Docker, and container services Experience building and orchestrating APIs Strong problem-solving and communication skills Bonus: exposure to Azure Functions, Containers, or Insights Benefits for More ❯

services using Azure and Databricks Managing caching layers with Azure Cache (Redis) Using Delta Live Tables for data processing and analytics Integrating with cloud-based data storage solutions like Snowflake Collaborating with cross-functional teams in an agile environment Supporting analytics, model deployment, and data-driven decision tools Conducting performance, load, and end-to-end testing Writing pipeline code and … Azure DevOps (GitHub) What we're looking for from the Machine Learning Operations Engineer: Solid experience in ML Ops, particularly with Azure and Databricks Familiarity with Postgres, Redis, and Snowflake Understanding of Delta Lake Architecture, Docker, and container services Experience building and orchestrating APIs Strong problem-solving and communication skills Bonus: exposure to Azure Functions, Containers, or Insights Benefits for More ❯

using Azure, Databricks, and Delta Lake Architecting and overseeing API services and caching layers (e.g., Azure Cache for Redis) Driving integration with cloud-based data storage solutions such as Snowflake Collaborating with data scientists, engineers, and product teams to align ML infrastructure with business goals Establishing best practices for model deployment, monitoring, and lifecycle management Conducting performance tuning, load testing … looking for from the Machine Learning Operations Lead: Proven experience in ML Ops leadership, with deep expertise in Azure, Databricks, and cloud-native architectures Strong understanding of Postgres, Redis, Snowflake, and Delta Lake Architecture Hands-on experience with Docker, container orchestration, and scalable API design Excellent communication and stakeholder management skills Ability to drive strategic initiatives and influence technical direction More ❯

using Azure, Databricks, and Delta Lake Architecting and overseeing API services and caching layers (e.g., Azure Cache for Redis) Driving integration with cloud-based data storage solutions such as Snowflake Collaborating with data scientists, engineers, and product teams to align ML infrastructure with business goals Establishing best practices for model deployment, monitoring, and lifecycle management Conducting performance tuning, load testing … looking for from the Machine Learning Operations Lead: Proven experience in ML Ops leadership, with deep expertise in Azure, Databricks, and cloud-native architectures Strong understanding of Postgres, Redis, Snowflake, and Delta Lake Architecture Hands-on experience with Docker, container orchestration, and scalable API design Excellent communication and stakeholder management skills Ability to drive strategic initiatives and influence technical direction More ❯