1 to 25 of 186 Snowflake Schema Jobs in the UK

analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. About You We are looking for a skilled Lead Data Engineer who: Personal Attributes Self-starter with initiative and enthusiasm … level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/… SQL Server/Snowflake Understanding of AWS cloud and fundamental services like IAM, Lambda, S3 etc. Experience of liaising with both in-house and third party development teams, across different geographical sites Skilled at writing and understand Python code especially those using AWS boto3 APIs Good understanding of replication More ❯

analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives … level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/… SQL Server/Snowflake Understanding of AWS cloud and fundamental services like IAM, Lambda, S3 etc. Experience of liaising with both in-house and third party development teams, across different geographical sites Skilled at writing and understand Python code especially those using AWS boto3 APIs Good understanding of replication More ❯

analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives … level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/… SQL Server/Snowflake Understanding of AWS cloud and fundamental services like IAM, Lambda, S3 etc. Experience of liaising with both in-house and third party development teams, across different geographical sites Skilled at writing and understand Python code especially those using AWS boto3 APIs Good understanding of replication 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) Join to apply for the Principal Data Consultant (Snowflake/Matillion) role at Snap Analytics Continue with Google Continue with Google Principal Data Consultant (Snowflake/Matillion) 1 week ago Be among the first 25 applicants Join to apply for the … Principal Data Consultant (Snowflake/Matillion) role at Snap Analytics Get AI-powered advice on this job and more exclusive features. Sign in to access AI-powered advices Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google … 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 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 ❯

SQL packages and provide stored procedures and design and develop various relational database. Design, develop and implement enterprise data warehouse and understand star/snowflake schema model, Hierarchies, prompts, attributes, schema, and application objects. Analyze requirements, program and configure warehouses of database information, and provide support to … SQL packages and provide stored procedures and design and develop various relational database. Design, develop and implement enterprise data warehouse and understand star/snowflake schema model, Hierarchies, prompts, attributes, schema, and application objects. Analyze requirements, program and configure warehouses of database information, and provide support to More ❯

NoSQL databases (e.g., MongoDB, Cassandra) for efficient data storage and retrieval. Data Warehousing : Experience with data warehousing solutions, such as Amazon Redshift, Google BigQuery, Snowflake, or Azure Synapse Analytics, including data modelling and ETL processes. ETL Processes: Proficient in designing and implementing ETL (Extract, Transform, Load) processes using tools … orchestration tools such as Apache Airflow or Prefect to manage and schedule data pipelines. Data Modelling : Strong understanding of data modelling concepts (e.g., star schema, snowflake schema) and best practices for designing efficient and scalable data architectures. Data Quality and Governance : Knowledge of data quality principles and More ❯

and business domains. ✅ Key technical skills: Strong SQL and ELT/data pipeline development experience Expertise in Data Warehouse & Data Lake design (including Star Schema, Snowflake Schema, Data Vault) Hands-on experience with enterprise databases: Oracle, Snowflake, Teradata, or SQL Server Solid understanding of AWS (S3 More ❯

and business domains. ✅ Key technical skills: Strong SQL and ELT/data pipeline development experience Expertise in Data Warehouse & Data Lake design (including Star Schema, Snowflake Schema, Data Vault) Hands-on experience with enterprise databases: Oracle, Snowflake, Teradata, or SQL Server Solid understanding of AWS (S3 More ❯

contribute, grow, and work on diverse data challenges, join us! Your Contribution Design and develop efficient and scalable data models and data marts (e.g.star schema, snowflake schema) using best practices for data warehousing and business intelligence that are optimized for self-service analytics tools Collaborate with business More ❯

SQL Database, Azure Data Factory, Azure Data Lake, and related Azure data services. Expertise in designing and optimizing relational and dimensional data models (star schema, snowflake schema). Experience with ETL tools and data integration techniques. Proficient in SQL and other data querying languages. Understanding of data More ❯

Modeler in designing Enterprise Data Products. Understand Data Model terminology (Conceptual, Logical, Physical Data Models). Apply enterprise data modelling techniques such as star schema, snowflake schema, etc. Utilize data de-normalization and normalization techniques. Key skills/knowledge/experience: Experience in Advanced SQL, SSIS packages 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 ❯

Ensure high-quality, accurate, and professional outputs that drive real business decisions. Key Experience: - Proficiency in SQL for data transformation, analysis and problem-solving. - Snowflake, DBT, Data Modelling, Data Vault, Data warehousing and GitHub - Understanding of version control systems, continuous integration pipelines, and service-oriented architecture. - Understanding the need More ❯

deliver tangible business benefits by helping our clients manage, monetise, and leverage their data effectively. As a trusted partner of Microsoft, Informatica, AWS, and Snowflake, we're poised for growth. We’re dedicated to fostering a diverse, equitable, and inclusive workplace. We believe that diversity drives innovation and fosters … based data services (Azure Data Lake, Synapse, Data Factory, Fabric) and their integration with Power BI. Knowledge of data modelling techniques including star/snowflake schema design for BI solutions. Understanding of DevOps/DataOps principles as applied to Power BI CI/CD and workspace automation. What More ❯

deliver tangible business benefits by helping our clients manage, monetise, and leverage their data effectively. As a trusted partner of Microsoft, Informatica, AWS, and Snowflake, we're poised for growth. We’re dedicated to fostering a diverse, equitable, and inclusive workplace. We believe that diversity drives innovation and fosters … based data services (Azure Data Lake, Synapse, Data Factory, Fabric) and their integration with Power BI. Knowledge of data modelling techniques including star/snowflake schema design for BI solutions. Understanding of DevOps/DataOps principles as applied to Power BI CI/CD and workspace automation. What More ❯

deliver tangible business benefits by helping our clients manage, monetise, and leverage their data effectively. As a trusted partner of Microsoft, Informatica, AWS, and Snowflake, we're poised for growth. We’re dedicated to fostering a diverse, equitable, and inclusive workplace. We believe that diversity drives innovation and fosters … based data services (Azure Data Lake, Synapse, Data Factory, Fabric) and their integration with Power BI. Knowledge of data modelling techniques including star/snowflake schema design for BI solutions. Understanding of DevOps/DataOps principles as applied to Power BI CI/CD and workspace automation. What More ❯

tasks (e.g., scripting, automation, data manipulation libraries like Pandas, interacting with APIs). Solid understanding of data warehousing concepts (e.g., dimensional modeling, star/snowflake schemas) and database design principles. Hands-on experience with data build tool (dbt) or similar data transformation frameworks. Nice to Have: Bachelor's degree 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 ❯

/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 ❯

variety of stakeholders including the facilitation of client workshops. An understanding of key data modelling concepts (e.g., fact and dimension tables, star schemas and snowflake schemas, denormalised tables, and views). Experience with data handling, e.g. data querying, data manipulation or data wrangling to transform raw data into the More ❯

variety of stakeholders including the facilitation of client workshops. An understanding of key data modelling concepts (e.g., fact and dimension tables, star schemas and snowflake schemas, denormalised tables, and views). Experience with data handling, e.g. data querying, data manipulation or data wrangling to transform raw data into the More ❯

ACCOUNTABILITIES Design, build, and manage robust data pipelines and integrations across HR systems (e.g., HRIS, Payroll, LMS) and analytics platforms (e.g., Power BI, Azure, Snowflake). Build and maintain scalable data models, warehouses, and ETL processes that support consistent, accurate, and timely people reporting. Collaborate with HR, IT, and … transforming data for strategic projects and regulatory compliance. KEY EXPERIENCE, KNOWLEDGE AND SKILLS Strong technical proficiency in tools like SQL, Python, Azure Data Factory, Snowflake, dbt, and Power BI. Experience with HR technology landscapes and concepts (e.g., job hierarchies, organisational structure, HRIS architecture). Experience designing ETL/ELT … pipelines and integrating data from cloud and on-premise sources. Familiarity with data modelling best practices (star/snowflake schema) and version-controlled development (e.g., Git). Ability to translate business data needs into technical solutions and document them clearly. Understanding of data governance, privacy, and compliance principles. More ❯