13 of 13 Permanent Snowflake Schema Jobs in the UK excluding London

Understanding of secure data handling, GDPR, role-based access and privacy-preserving approaches such as pseudonymisation or anonymisation Desirable Knowledge of dimensional modelling, star schema, snowflake schema, data warehousing, lakehouse architecture or analytics engineering principles. Familiarity with Microsoft Purview or similar tools for metadata, lineage and governance. ...

reporting Your Skills and Experience Strong commercial experience as a Data Engineer with solid foundations in SQL and dimensional modelling Experience working with Snowflake or similar cloud data warehouses such as BigQuery Good Python capability, including orchestration tools such as Airflow Proven experience building and managing data ingestion pipelines ...

scalable architectures. Proven ability to design and build data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control and CI or CD workflows. ...

scalable architectures. Proven ability to design and build data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control and CI or CD workflows. ...

scalable architectures. Proven ability to design and build data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control and CI or CD workflows. ...

building lakehouse and pipeline solutions from ingestion through to consumption ETL and ELT design experience, including data modelling using lakehouse patterns and star or snowflake schemas Experience migrating or integrating legacy data sources such as Dataverse and SQL into modern analytics architectures Skills, knowledge and expertise required: Strong practical ...

capability Proven experience building Power BI dashboards and reports, including DAX for calculated measures Solid understanding of data modelling techniques such as star and snowflake schemas Experience working with ETL processes and data integration Confidence applying descriptive statistics and analytical techniques Strong background in requirements gathering and stakeholder engagement ...

Quantios Insights, including data ingestion patterns, lakehouse design, semantic modelling, and analytical layers. Define architectural guardrails and reference patterns for Fabric, Databricks, and Snowflake to support customer deployment flexibility. Contribute to the long-term roadmap for data and AI capabilities across Quantios products and internal teams. Data Modelling & Lakehouse … Governance, Security & Compliance Define data governance frameworks covering metadata, lineage, data catalogue, access management, and quality standards. Guide implementation of Purview, Unity Catalog, or Snowflake governance tooling depending on platform. Ensure that data architecture adheres to Quantios’ security, privacy, and regulatory requirements. Define patterns for sensitive data handling, encryption ...

build, and maintain data pipelines using Python and dlt to ingest data from multiple business systems and APIsDevelop and manage dimensional data models within Snowflake using SQLMesh, dbt, or similar technol ogiesOptimise Snowflake performance and drive cost-efficient data platform manag ementPartner with Business Intelligence teams to deliver … Analytics Engineer, Data Engineer, Analytics Developer, or simila r roleAdvanced SQL skills and strong production-level Python development expe rienceStrong Experience working with Snowflake or similar cloud-based data pla tformsProven experience building and maintaining data pipelines and ELT pro cessesStrong understanding of dimensional data modelling using SQLMesh ...

communicate clearly, and balance technical detail with business needs. You’re comfortable crafting data solutions and supporting teams through delivery. Essential skills and experience Snowflake, Data modelling experience Experience in a data development environment – with some gained in Financial Services or regulated and/or Cloud Environments. Focus ...

scalable data processing Solid understanding of lakehouse architecture and the Medallion (Bronze/Silver/Gold) pattern Strong data modelling experience (star/snowflake schemas, SCD Types 1-3) Experience with streaming and event-driven architectures Performance tuning and cost optimisation in cloud data platforms Experience with data quality … observability and data contracts Nice to have (but not essential): dbt, Snowflake or similar analytics engineering tooling Experience supporting ML or advanced analytics workloads Exposure to data mesh or domain-oriented data platforms What's on Offer Up to £80,000 salary Join a scaling, well-funded business with ...

event-driven and distributed architectures What we're looking for Strong experience with distributed data architectures (Lambda/Kappa) Advanced data modelling expertise (star & snowflake schemas, SCD Types 1-3, fact optimisation) Deep understanding of lakehouse patterns (Bronze/Silver/Gold) and data mesh principles Proven experience defining … data contracts, cataloguing standards and observability practices Strong background in performance tuning and cloud cost optimisation Hands-on experience with Snowflake, dbt, S3 and Athena Deep knowledge of the AWS data engineering ecosystem Comfortable working in Agile environments (Jira, Confluence) A leadership mindset with the ability to influence, mentor ...

Role Analyse key business questions, including performance drivers, customer behaviour, financial outcomes, and growth opportunities. Use SQL to extract, transform, and model data from Snowflake and other sources to generate robust insights. Develop reporting and dashboards that translate complex datasets into clear, actionable recommendations for senior stakeholders. Work cross … Ability to interpret P&L dynamics and link data analysis to financial outcomes and business performance. Experience working with large-scale data platforms (e.g. Snowflake or similar). Strong data visualisation and dashboarding skills, ideally with Power BI. Understanding of data modelling principles and how to structure data ...