1 to 25 of 38 Permanent Snowflake Schema Jobs in the UK

style based on the audience. Data Modeling and Warehousing: • Design and implement data models optimized for analytical workloads, using dimensional modeling techniques (e.g., star schema, snowflake schema). • Participate in the design, implementation, and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS • Educational … or Python for analytics, data manipulation, and algorithm development. • Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g., star schema, snowflake schema), and data quality management. • Communication and Collaboration Abilities: Excellent verbal and written communication skills, with the ability to effectively communicate … algorithms and techniques is a plus. • Experience in building and maintaining APIs for data integration and delivery. • Experience with data warehouse platforms such as Snowflake a plus. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we More ❯

style based on the audience. Data Modeling and Warehousing: •Design and implement data models optimized for analytical workloads, using dimensional modeling techniques (e.g., star schema, snowflake schema). •Participate in the design, implementation, and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS •Educational … or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g., star schema, snowflake schema), and data quality management. •Communication and Collaboration Abilities: Excellent verbal and written communication skills, with the ability to effectively communicate … algorithms and techniques is a plus. •Experience in building and maintaining APIs for data integration and delivery. •Experience with data warehouse platforms such as Snowflake a plus. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we More ❯

style based on the audience. Data Modeling and Warehousing: •Design and implement data models optimized for analytical workloads, using dimensional modeling techniques (e.g., star schema, snowflake schema). •Participate in the design, implementation, and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS •Educational … or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g., star schema, snowflake schema), and data quality management. •Communication and Collaboration Abilities: Excellent verbal and written communication skills, with the ability to effectively communicate … algorithms and techniques is a plus. •Experience in building and maintaining APIs for data integration and delivery. •Experience with data warehouse platforms such as Snowflake a plus. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we More ❯

Principal Data Consultant (Snowflake/Matillion) Application Deadline: 18 June 2025 Department: Data Engineering Employment Type: Full Time Location: Bristol, UK Compensation: £85,000 - £100,000/year Description As a Principal Data Consultant, at Snap, you'll be at the forefront of our most strategic initiatives. Your role … authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You'll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You'll build and automate scalable, secure, and high-performance data pipelines handling diverse … closely with our clients to design the correct data models to support their analytic requirements following best practices such as Kimball star schemas and snowflake schemas, ensuring performance and ease of use for the client. You'll manage the delivery of ETL/ELT processes using tools like Matillion More ❯

Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks such as GDPR, HIPAA, ISO 27001, NIST, SOX, and PII, with expertise in IAM More ❯

Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks such as GDPR, HIPAA, ISO 27001, NIST, SOX, and PII, with expertise in IAM More ❯

/CD) Proficiency in SQL and Python for data processing and automation Experience working with data modeling tools and practices (e.g., dimensional, star/snowflake schema, dbt) Solid understanding of data governance, metadata, and quality frameworks Strong collaboration and communication skills, with the ability to work cross-functionally More ❯

T-SQL for data extraction and transformation Hands-on experience with Azure technologies (Data Lake, Data Factory, Synapse, etc.) Data modelling experience (star/snowflake schemas, normalization, etc.) Familiarity with ETL processes and working alongside Data Engineers Excellent communication and stakeholder management skills Insurance industry experience (ideally Reinsurance) Desirable More ❯

using dbt, ensuring clean and accessible data. Monitor data quality and implement validation processes in collaboration with data engineers. Create scalable data models in Snowflake using dbt and identify opportunities for efficiency gains. Optimize workflows and monitor system performance for continuous improvements. Ensure data practices meet regulatory standards and … using dbt, ensuring clean and accessible data. Monitor data quality and implement validation processes in collaboration with data engineers. Create scalable data models in Snowflake using dbt and identify opportunities for efficiency gains. Optimize workflows and monitor system performance for continuous improvements. Ensure data practices meet regulatory standards and … DBT and Snowflake. Proficiency in building and managing data transformations with dbt, with experience in optimizing complex transformations and documentation. Hands-on experience with Snowflake as a primary data warehouse, including knowledge of performance optimization, data modeling, and query tuning. Strong proficiency in data analysis tools and languages (e.g. More ❯

and programmatic data access patterns Data Engineering & Modelling Strong T-SQL skills for data retrieval and performance tuning Knowledge of dimensional modelling , star/snowflake schemas , and data warehouse best practices Preferred Qualifications Microsoft certifications such as DA-100 , DP-500 , or MCSE: BI Familiarity with CI/CD More ❯

Data Engineer – Oracle | Snowflake | Redress Projects Location: Remote/London Rate: Competitive DOE (Outside IR35) Duration: 9 Months Industry: Financial Services Start: ASAP Chapman Tate Associates is working with a leading financial services client based in London who is embarking on a high-profile redress and remediation programme. We … re on the lookout for a contract Data Engineer with proven experience across Oracle and Snowflake environments , ideally within regulated remediation programmes . 🎯 Key Responsibilities: Design, develop, and optimise data pipelines to support redress and remediation workflows Work with structured data from multiple legacy systems (Oracle) and cloud data … platforms (Snowflake) Ensure accuracy and auditability of data transformations and outputs for compliance and reporting Collaborate with business analysts, compliance teams, and remediation leads to understand data requirements Implement robust data validation, reconciliation, and lineage tracking processes Support technical documentation and handover processes to internal teams 🔍 Requirements: Proven experience More ❯

management, IT services management, agile and lean methodologies, infrastructure and operations, and EA and ITIL frameworks. Proficiency with data warehousing solutions (e.g., Google BigQuery, Snowflake). Expertise in data modeling tools and techniques (e.g., SAP PowerDesigner, EA Sparx). Strong knowledge of SQL and NoSQL databases (e.g., MongoDB, Cassandra More ❯

a flat structure reporting to the Director of Analytics, you will own the data engineering practice! Develop the Data Build Tool, maintain models in Snowflake and ETL pipelines from multiple sources Implement testing, documentation, and version control Desired skills and experience Extensive data engineering experience SQL expert with extensive More ❯

engineer; working with teams across the group to present their data in ways that make it useful, accurate and timely. We model data in Snowflake using dbt, making use of Power BI for most (but not all) of our presentation. Code is managed in GitHub using a continuous integration More ❯

Advanced SQL proficiency, with the ability to write and optimize complex queries Experience with DBT or similar tools for dimensional data modeling Familiarity with Snowflake (or comparable) cloud data warehousing environments Ability to develop compelling data visualizations using tools like Tableau Bonus if you have experience with Python, fraud More ❯

and experience we're looking for: Proven experience as a data-focused product manager, preferably within insurance, with knowledge of data modeling and querying; Snowflake experience is a plus. Experience managing complex data analytics requirements under pressure. Versatility with various delivery methodologies and strong stakeholder management skills. Ability to More ❯

effective development patterns and delivery practices Continually improve with our internal development program, including mentoring and paid training/certifications Skills Data Modelling - SQLDBM Snowflake AWS Airflow DBT Note: Experience in the energy industry is highly advantageous. More ❯

Who we are looking for A Product Analytics Engineer, who will play a pivotal role in transforming our Sportsbook product through data-driven insights. With over 100 million users, and tens of millions of bets processed daily, your expertise will More ❯

Who we are looking for A Product Analytics Engineer, who will play a pivotal role in transforming our Sportsbook product through data-driven insights. With over 100 million users, and tens of millions of bets processed daily, your expertise will More ❯

Role: Snowflake Engineer Location: Liverpool, UK Type: Fixed term contract of 6 months with possible extension Start Date: 01-June-2025 Job Description: Essential: Experienced with Snowflake Understand Snowflake Security model and implementation of RBAC Experience implementing SIEM Experienced with Streamlit development Snowflake Storage & cost utilisation … and management Query Optimisation on Snowflake Nice to haves: Pipeline automation capabilities with snowflake Integration to GIT hub AI Model generation capability More ❯

I'm looking for a Data Engineer with Snowflake experience to join a global business who are embarking on a greenfield project to build a brand-new Snowflake Data Warehouse. They are building a modern, AI-ready data platform, which allows for better decision-making for both themselves … and their customers, with a tech stack including Snowflake, dbt, Microsoft Azure and Power BI. You'll join their newly established Data Team, based in their modern office space in Leeds - you'll spend at least 3 days per week in the office to collaborate with your team, in … purpose of this role is to build and maintain the data architecture that supports various business intelligence initiatives. This will include designing and managing Snowflake data pipelines, ensuring data flows seamlessly from multiple sources into the data platform. You'll also work with Data Analysts to support their data More ❯

Role: Snowflake Engineer Location : Liverpool, UK (2-3 days/week from office) Job Description: Essential: Experienced with Snowflake Understand Snowflake Security model and implementation of RBAC Experience implementing SIEM Experienced with Streamlet development Snowflake Storage & cost utilization and management Query Optimization on Snowflake Nice … to haves: Pipeline automation capabilities with snowflake Integration to GIT hub AI Model generation capability More ❯

sector expertise, and sophisticated modeling tools to provide insights that support strategic decisions across the business. What You'll Do Develop the Market Analytics' Snowflake database to enable data access for analytical teams. Translate modeling requirements into data needs, upgrade models, and enable new tools. Integrate Plexos modeling capabilities … through data interfaces. Create data endpoints for upstream data collection via web APIs. Support data queries within Snowflake for downstream modeling, including future ML capabilities with Snowpark. Collaborate with IT and Solution Architects to design new data systems. Work with model owners to develop and improve models, ensuring best … Strong interpersonal skills and ability to influence and collaborate effectively. Expertise in Python for data engineering, pipelines, ETL, and data models. Experience managing databases (Snowflake preferred), including permissions and design. Familiarity with GitHub and agile project management. Knowledge of Power BI or similar visualization tools. Self-motivated, entrepreneurial, responsible. More ❯

expertise in developing reports and dashboards using Power BI (Power Query, DAX, Power BI Service). Experience in data modelling and transformation, including star schema and snowflake designs Hands-on experience connecting Power BI to multiple data sources (e.g., SQL Server, Excel, SharePoint, APIs) Demonstrated ability to work More ❯

Appium , XCUITest , TestFairy . Data/ETL Testing Ensures accurate data flow, transformation, and validation in data pipelines. Works with SQL, Informatica , Talend , SSIS , Snowflake . AI/ML Model Testing Test models for accuracy, bias, and performance. Involves validating model predictions, fairness, and ethical AI compliance. Seniority Level More ❯