7 of 7 Snowflake Jobs in Bristol

need from you... § Experience with as much of the tech we work with most often: o Cloud platforms: Azure, AWS o Data platforms: Databricks, Snowflake, Fabric o BI & viz: Power BI, Tableau o Gen AI: ChatGPT, Copilot, Gemini o Apps: Power Platform o Source control & CI/CD: GitHub, Azure ...

/CD for data; knowledge of Informatica tools is beneficial. Experience working with major databases such as Postgres, Redshift, Oracle, SQL Server or Snowflake, along with strong SQL capability and working knowledge of Python/PySpark. Ability to synthesise complex business and technical inputs into practical, scalable data‐engineering patterns ...

data platforms in SaaS or data-centric organisations Strong background in data engineering, modelling, and cloud platforms Hands-on experience with tools such as Snowflake, dbt, Azure Data Factory (or equivalents) Advanced SQL skills and experience working with complex datasets Experience where data underpins customer-facing products If this ...

SaaS or data-led environments Deep experience with data pipelines, modelling, and cloud-based data platforms Hands-on experience with tools such as Snowflake, dbt, Azure Data Factory (or similar) Strong SQL skills and experience working with complex datasets Experience working in environments where data is central to the product ...

expertise (administration, performance, optimisation). ETL pipeline development and data modelling experience. Understanding of database migration and integration. Familiarity with cloud concepts (Azure, Fabric, Snowflake etc.) - nice to have, but not essential . Experience improving environments that are part-legacy, part-modern. Organisation & Culture Friendly, sociable, and relaxed, with regular ...

commercial strategy for people who care about ROI, not just dbt models. Building the Stack: You'll drive the move to a scalable lakehouse (Snowflake/Redshift) and manage the integrations across multi-currency and various Practice Management Systems. Commercial RandD: You'll be looking at churn, lifetime value ...

platforms in SaaS or data-led environments Worked across data architecture, pipelines, and modelling — not just one area Been hands-on with tools like Snowflake, dbt, and Azure (or similar cloud environments) Designed and maintained ETL/ELT pipelines, ideally using tools like Azure Data Factory Strong SQL skills, including … performance optimisation Experience working with CI/CD pipelines and Git-based workflows A solid understanding of data modelling concepts (e.g. star/snowflake schema, slowly changing dimensions) Nice to have (but not essential): Experience working in environments where data supports modelling, forecasting, or machine learning Exposure to building ...