26 to 50 of 108 Permanent Snowflake Schema Jobs

Role: Snowflake Engineer/Developer Location: Manchester, UK Work Mode: Permanent - Hybrid - 4 Days/Week (Mandatory) JOB DESCRITION: Mandatory Possess good knowledge in Cloud computing Snowflake DBT airflow Very good working knowledge in data models viz Dimensional Data Model ER Data Model and Data Vault Very good working knowledge in writing SQL queries Very good working knowledge … in Snowflake Architecture Very good working knowledge in Snowflake internals like Snowflake Roles dynamic tables streams and tasks policies etc Very good working experience in data related projects or applications Good working knowledge in Gitlab Good working knowledge in Python Good working knowledge in Data science and Machine Learning Good working knowledge in data management and data … or both Good working knowledge in investment banking and finance Good working knowledge in Statistics Good working knowledge in Power BI Ability to work in multiple projects Mandatory Skills: Snowflake, ANSI-SQL, Dimensional Data Modelling, Snowpark Container services, Snowflake-Data Science More ❯

Data Engineer (Azure, Snowflake, DBT) Insurance London (Hybrid) Robert Half International (an S&P 500 global staffing provider) is supporting a global consulting firm in sourcing an experienced Data Engineer to join a major insurance client engagement. The role focuses on building out a Snowflake Data Warehouse established last year and scaling it to support multiple new data … NI & Tax deducted at source, unlike umbrella companies and no umbrella company admin fees) Role Overview Youll be working within a growing data engineering function, focused on scaling a Snowflake + DBT platform to support multiple analytical and operational use cases. The team is looking for an experienced engineer with strong technical depth and an insurance background, capable of … owning and extending core pipelines across the Azure and Snowflake stack. Key Skills & Experience Strong hands-on experience with Snowflake Cloud Data Warehouse (schemas, RBAC, performance tuning, ELT best practices). Proven commercial experience with DBT for modular data modelling, testing, documentation, and CI/CD integration. Skilled in Azure Data Factory, Synapse, and Databricks for end-to More ❯

Data Engineer (Azure, Snowflake, DBT) | Insurance | London (Hybrid) Robert Half International (an S&P 500 global staffing provider) is supporting a global consulting firm in sourcing an experienced Data Engineer to join a major insurance client engagement. The role focuses on building out a Snowflake Data Warehouse established last year and scaling it to support multiple new data … Tax deducted at source, unlike umbrella companies and no umbrella company admin fees) Role Overview You’ll be working within a growing data engineering function, focused on scaling a Snowflake + DBT platform to support multiple analytical and operational use cases. The team is looking for an experienced engineer with strong technical depth and an insurance background, capable of … owning and extending core pipelines across the Azure and Snowflake stack. Key Skills & Experience Strong hands-on experience with Snowflake Cloud Data Warehouse (schemas, RBAC, performance tuning, ELT best practices). Proven commercial experience with DBT for modular data modelling, testing, documentation, and CI/CD integration. Skilled in Azure Data Factory, Synapse, and Databricks for end-to More ❯

Data Engineer (Azure, Snowflake, DBT) | Insurance | London (Hybrid) Robert Half International (an S&P 500 global staffing provider) is supporting a global consulting firm in sourcing an experienced Data Engineer to join a major insurance client engagement. The role focuses on building out a Snowflake Data Warehouse established last year and scaling it to support multiple new data … Tax deducted at source, unlike umbrella companies and no umbrella company admin fees) Role Overview You’ll be working within a growing data engineering function, focused on scaling a Snowflake + DBT platform to support multiple analytical and operational use cases. The team is looking for an experienced engineer with strong technical depth and an insurance background, capable of … owning and extending core pipelines across the Azure and Snowflake stack. Key Skills & Experience Strong hands-on experience with Snowflake Cloud Data Warehouse (schemas, RBAC, performance tuning, ELT best practices). Proven commercial experience with DBT for modular data modelling, testing, documentation, and CI/CD integration. Skilled in Azure Data Factory, Synapse, and Databricks for end-to More ❯

Data Engineer (Azure, Snowflake, DBT) | Insurance | London (Hybrid) Robert Half International (an S&P 500 global staffing provider) is supporting a global consulting firm in sourcing an experienced Data Engineer to join a major insurance client engagement. The role focuses on building out a Snowflake Data Warehouse established last year and scaling it to support multiple new data … Tax deducted at source, unlike umbrella companies and no umbrella company admin fees) Role Overview You’ll be working within a growing data engineering function, focused on scaling a Snowflake + DBT platform to support multiple analytical and operational use cases. The team is looking for an experienced engineer with strong technical depth and an insurance background, capable of … owning and extending core pipelines across the Azure and Snowflake stack. Key Skills & Experience Strong hands-on experience with Snowflake Cloud Data Warehouse (schemas, RBAC, performance tuning, ELT best practices). Proven commercial experience with DBT for modular data modelling, testing, documentation, and CI/CD integration. Skilled in Azure Data Factory, Synapse, and Databricks for end-to More ❯

impactful dashboards Advanced SQL (T-SQL preferred) for managing and querying relational databases Experience with ETL tools (SSIS, Azure Data Factory, or similar) Strong data modelling skills (star/snowflake schema) Familiarity with Azure SQL, Synapse Analytics , or other cloud platforms is a plus Domain Knowledge Solid experience in the Lloyd’s/London Market insurance environment Strong More ❯

impactful dashboards Advanced SQL (T-SQL preferred) for managing and querying relational databases Experience with ETL tools (SSIS, Azure Data Factory, or similar) Strong data modelling skills (star/snowflake schema) Familiarity with Azure SQL, Synapse Analytics , or other cloud platforms is a plus Domain Knowledge Solid experience in the Lloyd’s/London Market insurance environment Strong More ❯

impactful dashboards Advanced SQL (T-SQL preferred) for managing and querying relational databases Experience with ETL tools (SSIS, Azure Data Factory, or similar) Strong data modelling skills (star/snowflake schema) Familiarity with Azure SQL, Synapse Analytics , or other cloud platforms is a plus Domain Knowledge Solid experience in the Lloyd’s/London Market insurance environment Strong More ❯

impactful dashboards Advanced SQL (T-SQL preferred) for managing and querying relational databases Experience with ETL tools (SSIS, Azure Data Factory, or similar) Strong data modelling skills (star/snowflake schema) Familiarity with Azure SQL, Synapse Analytics , or other cloud platforms is a plus Domain Knowledge Solid experience in the Lloyd’s/London Market insurance environment Strong More ❯

impactful dashboards Advanced SQL (T-SQL preferred) for managing and querying relational databases Experience with ETL tools (SSIS, Azure Data Factory, or similar) Strong data modelling skills (star/snowflake schema) Familiarity with Azure SQL, Synapse Analytics , or other cloud platforms is a plus Domain Knowledge Solid experience in the Lloyd’s/London Market insurance environment Strong 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 ❯

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 ❯

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 ❯

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 ❯

may be considered in lieu of a degree. Experience in transformation business requirements into optimal data model. Ideally experience working with customer analytics. Expertise in dimensional modeling (Star and Snowflake schemas) Experience with AWS Redshift and performance optimization Knowledge of AWS Glue, Redshift, Step Functions for data architecture Familiar with AWS DataZone for data lineage and governance Self-driven 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 … suited to someone who s confident communicating with data, product, and engineering teams, not a heads-down coder type. 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 ❯

Data Analyst - BI Developer - Asset Management Excellent opportunity opens for a Data Analyst with strong Snowflake, SQL, and PowerBI exposure at a boutique Asset Management firm. This is a great chance to sit with the Investment Management team and develop dashboards and reports that will provide tangible input for business outcomes. This is a mid-level role ideal for … Management and is looking to make positive impacts within firms' decision making processes through well-governed data outputs. Key Responsibilities Build and maintain ETL/ELT data pipelines into Snowflake, integrating internal and external sources (Bloomberg feeds, SimCorp outputs, market data vendors). Develop Power BI dashboards and reports for portfolio managers and other stakeholders. Deliver rapid prototypes and … iterate into secure, supportable production tools. Design and optimise data models in Snowflake to support analytics, reporting, and decision-making. Ensure data accuracy, lineage, and security through robust governance practices. Automate manual workflows to improve efficiency in data delivery and reporting. Collaborate with investment and technology teams to capture requirements and deliver scalable, data-driven solutions. Skills & Experience Strong More ❯

Role Title: Data Analyst/Senior Data Analyst 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 Experience working with internal customers to define data-relevant use More ❯

Role Title: Data Analyst/Senior Data Analyst 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 Experience working with internal customers to define data-relevant use 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 ❯