1 to 25 of 51 Snowflake Schema Jobs in the South East

Foundational understanding of Big Data architecture (Data Lakes, Data Warehouses) and distributed processing concepts (e.g., MapReduce). ETL/ELT Basic knowledge of ETL principles and data modeling (star schema, snowflake schema). Version Control Practical experience with Git (branching, merging, pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark More ❯

Foundational understanding of Big Data architecture (Data Lakes, Data Warehouses) and distributed processing concepts (e.g., MapReduce). ETL/ELT Basic knowledge of ETL principles and data modeling (star schema, snowflake schema). Version Control Practical experience with Git (branching, merging, pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark More ❯

Foundational understanding of Big Data architecture (Data Lakes, Data Warehouses) and distributed processing concepts (e.g., MapReduce). ETL/ELT Basic knowledge of ETL principles and data modeling (star schema, snowflake schema). Version Control Practical experience with Git (branching, merging, pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark More ❯

Foundational understanding of Big Data architecture (Data Lakes, Data Warehouses) and distributed processing concepts (e.g., MapReduce). ETL/ELT Basic knowledge of ETL principles and data modeling (star schema, snowflake schema). Version Control Practical experience with Git (branching, merging, pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark More ❯

Foundational understanding of Big Data architecture (Data Lakes, Data Warehouses) and distributed processing concepts (e.g., MapReduce). ETL/ELT Basic knowledge of ETL principles and data modeling (star schema, snowflake schema). Version Control Practical experience with Git (branching, merging, pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark More ❯

SSAS, data modelling, and BI pipelines, who thrives in a collaborative environment and is eager to drive innovation in data infrastructure. Role Responsibilities Apply best practice to Star/Snowflake schema data modelling with considerations in challenging and verifying data quality and accuracy. Lead the addition of new data sources to the Data Lake from 3rd party sources. More ❯

SSAS, data modelling, and BI pipelines, who thrives in a collaborative environment and is eager to drive innovation in data infrastructure. Role Responsibilities Apply best practice to Star/Snowflake schema data modelling with considerations in challenging and verifying data quality and accuracy. Lead the addition of new data sources to the Data Lake from 3rd party sources. More ❯

Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and data architecture Dimensional modelling (star schema, snowflake, denormalised structures, SCD handling) DAX, Visual Studio and data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies ETL/ELT More ❯

IronPython automation, document properties. Conduct detailed analysis of Spotfire markings, filters and visual structures to produce functional specification documents for migration. Define and redesign semantic data models (star/snowflake schemas) suitable for Power BI. Collaborate with data engineers and Power BI developers to align source data, dataflows and model transformations. Work with business stakeholders to define functional parity More ❯

IronPython automation, document properties. Conduct detailed analysis of Spotfire markings, filters and visual structures to produce functional specification documents for migration. Define and redesign semantic data models (star/snowflake schemas) suitable for Power BI. Collaborate with data engineers and Power BI developers to align source data, dataflows and model transformations. Work with business stakeholders to define functional parity More ❯

IronPython automation, document properties. Conduct detailed analysis of Spotfire markings, filters and visual structures to produce functional specification documents for migration. Define and redesign semantic data models (star/snowflake schemas) suitable for Power BI. Collaborate with data engineers and Power BI developers to align source data, dataflows and model transformations. Work with business stakeholders to define functional parity More ❯

and AI to create tomorrow, today. Get to know us at and on LinkedIn, X, YouTube, and Facebook. We are inviting applications for the role of Snr Principal Consultant -Snowflake Architect We are seeking an experienced Snowflake Architect to design, implement, and optimize our enterprise data warehouse solutions on Snowflake. The ideal candidate will have a strong background … platforms, and modern data integration patterns, with a proven ability to translate business requirements into scalable, secure, and high-performance data solutions. Responsibilities Design and implement end-to-end Snowflake data architecture and data models to support analytical and operational reporting needs. Define best practices for Snowflake usage, data ingestion, transformation, and performance tuning. Develop and optimize ETL … to ensure consistent and efficient data access. Implement data governance, security, and compliance standards (RBAC, masking, encryption, etc.). Work with cloud platforms (AWS, Azure, or GCP) to integrate Snowflake with cloud-native services. Oversee data migration from legacy systems to Snowflake. Conduct performance monitoring and capacity planning for Snowflake workloads. Provide technical leadership and mentor junior engineers More ❯

IronPython automation, document properties. Conduct detailed analysis of Spotfire markings, filters and visual structures to produce functional specification documents for migration. Define and redesign semantic data models (star/snowflake schemas) suitable for Power BI. Collaborate with data engineers and Power BI developers to align source data, dataflows and model transformations. Work with business stakeholders to define functional parity More ❯

strategy for a high-growth Financial Services or FinTech firm. A Data Engineering background (or similar) with excellent hands-on experience and understanding of Data Warehouse (e.g. BigQuery, Redshift, Snowflake, Databricks), orchestration, data modelling and cloud technology (AWS, GCP, Azure) Strong AI literacy, including leveraging AI to pull insights from structured and unstructured data Excellent communication skills with the More ❯

strategy for a high-growth Financial Services or FinTech firm. A Data Engineering background (or similar) with excellent hands-on experience and understanding of Data Warehouse (e.g. BigQuery, Redshift, Snowflake, Databricks), orchestration, data modelling and cloud technology (AWS, GCP, Azure) Strong AI literacy, including leveraging AI to pull insights from structured and unstructured data Excellent communication skills with the More ❯

strategy for a high-growth Financial Services or FinTech firm. A Data Engineering background (or similar) with excellent hands-on experience and understanding of Data Warehouse (e.g. BigQuery, Redshift, Snowflake, Databricks), orchestration, data modelling and cloud technology (AWS, GCP, Azure) Strong AI literacy, including leveraging AI to pull insights from structured and unstructured data Excellent communication skills with the More ❯

strategy for a high-growth Financial Services or FinTech firm. A Data Engineering background (or similar) with excellent hands-on experience and understanding of Data Warehouse (e.g. BigQuery, Redshift, Snowflake, Databricks), orchestration, data modelling and cloud technology (AWS, GCP, Azure) Strong AI literacy, including leveraging AI to pull insights from structured and unstructured data Excellent communication skills with the More ❯

into a more engineering-focused position, someone who enjoys understanding the business context just as much as building the data solutions behind it. You'll work extensively with Python , Snowflake , SQL , and dbt to design, build, and maintain scalable, high-quality data pipelines and models that support decision-making across the business. This is a hands-on, collaborative role … s confident communicating with data, product, and engineering teams, not a "heads-down coder" type. Top 4 Core Skills Python - workflow automation, data processing, and ETL/ELT development. Snowflake - scalable data architecture, performance optimisation, and governance. SQL - expert-level query writing and optimisation for analytics and transformations. dbt (Data Build Tool) - modular data modelling, testing, documentation, and version … build, and maintain dbt models and SQL transformations to support analytical and operational use cases. Develop and maintain Python workflows for data ingestion, transformation, and automation. Engineer scalable, performant Snowflake pipelines and data models aligned with business and product needs. Partner closely with analysts, product managers, and engineers to translate complex business requirements into data-driven solutions. Write production More ❯

into a more engineering-focused position, someone who enjoys understanding the business context just as much as building the data solutions behind it. You’ll work extensively with Python , Snowflake , SQL , and dbt to design, build, and maintain scalable, high-quality data pipelines and models that support decision-making across the business. This is a hands-on, collaborative role … s confident communicating with data, product, and engineering teams, not a “heads-down coder” type. Top 4 Core Skills Python — workflow automation, data processing, and ETL/ELT development. Snowflake — scalable data architecture, performance optimisation, and governance. SQL — expert-level query writing and optimisation for analytics and transformations. dbt (Data Build Tool) — modular data modelling, testing, documentation, and version … build, and maintain dbt models and SQL transformations to support analytical and operational use cases. Develop and maintain Python workflows for data ingestion, transformation, and automation. Engineer scalable, performant Snowflake pipelines and data models aligned with business and product needs. Partner closely with analysts, product managers, and engineers to translate complex business requirements into data-driven solutions. Write production More ❯

into a more engineering-focused position, someone who enjoys understanding the business context just as much as building the data solutions behind it. You’ll work extensively with Python , Snowflake , SQL , and dbt to design, build, and maintain scalable, high-quality data pipelines and models that support decision-making across the business. This is a hands-on, collaborative role … s confident communicating with data, product, and engineering teams, not a “heads-down coder” type. Top 4 Core Skills Python — workflow automation, data processing, and ETL/ELT development. Snowflake — scalable data architecture, performance optimisation, and governance. SQL — expert-level query writing and optimisation for analytics and transformations. dbt (Data Build Tool) — modular data modelling, testing, documentation, and version … build, and maintain dbt models and SQL transformations to support analytical and operational use cases. Develop and maintain Python workflows for data ingestion, transformation, and automation. Engineer scalable, performant Snowflake pipelines and data models aligned with business and product needs. Partner closely with analysts, product managers, and engineers to translate complex business requirements into data-driven solutions. Write production More ❯

Role Title: Senior Data Analyst Location: London Contract duration: 6 months Work mode: Hybrid - 2 to 3 WFO Minimum Criteria: Proficiency in data modelling techniques (3NF star/snowflake, Data Vault 2.0), using modern tools (erwin, PowerDesigner, Sparx EA) and version control Experience creating and maintaining data dictionaries, taxonomies, and reference/master data, with governance for ongoing maintenance More ❯

Role Title: Senior Data Analyst Location: London Contract duration: 6 months Work mode: Hybrid - 2 to 3 WFO Minimum Criteria: Proficiency in data modelling techniques (3NF star/snowflake, Data Vault 2.0), using modern tools (erwin, PowerDesigner, Sparx EA) and version control Experience creating and maintaining data dictionaries, taxonomies, and reference/master data, with governance for ongoing maintenance More ❯

Role Title: Senior Data Analyst Location: London Contract duration: 6 months Work mode: Hybrid - 2 to 3 WFO Minimum Criteria: Proficiency in data modelling techniques (3NF star/snowflake, Data Vault 2.0), using modern tools (erwin, PowerDesigner, Sparx EA) and version control Experience creating and maintaining data dictionaries, taxonomies, and reference/master data, with governance for ongoing maintenance More ❯

Role Title: Senior Data Analyst Location: London Contract duration: 6 months Work mode: Hybrid - 2 to 3 WFO Minimum Criteria: Proficiency in data modelling techniques (3NF star/snowflake, Data Vault 2.0), using modern tools (erwin, PowerDesigner, Sparx EA) and version control Experience creating and maintaining data dictionaries, taxonomies, and reference/master data, with governance for ongoing maintenance More ❯

and hypothesis testing). Exposure to machine learning methods, including supervised and unsupervised learning, and model evaluation Experience in SQL and Python for advance analytics and modelling (experience with Snowflake, R, GitHub, and Jira is a plus) Experience using Python libraries such as pandas, scikit-learn, and statsmodels (or R equivalent) Experience using BI tools like Power BI or More ❯