22 of 22 Snowflake Schema Jobs in London

the rest of the days from home. Key Skills * Hands-on experience working with Teradata and other Datawarehouses. * Deep expertise in Teradata architecture, star schema, snowflake schema, SQL optimization, and Data Modelling. * Experience in implementation of Teradata utilities (BTEQ, Fast Load, Multiload, TPT etc.) for efficient Data More ❯

the rest of the days from home. Key Skills * Hands-on experience working with Teradata and other Datawarehouses. * Deep expertise in Teradata architecture, star schema, snowflake schema, SQL optimization, and Data Modelling. * Experience in implementation of Teradata utilities (BTEQ, Fast Load, Multiload, TPT etc.) for efficient Data More ❯

and testing Experience with version control systems and CI/CD pipelines In-depth knowledge of Kimball data modeling techniques, such as star and snowflake schemas Strong SQL skills and ability to write performant queries Proficient in data analysis and interpretation Excellent verbal and written communication skills Proven track More ❯

and testing Experience with version control systems and CI/CD pipelines In-depth knowledge of Kimball data modeling techniques, such as star and snowflake schemas Strong SQL skills and ability to write performant queries Proficient in data analysis and interpretation Excellent verbal and written communication skills Proven track 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 ❯

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 ❯

improvements for data processing capabilities. Write and optimize SQL queries to ensure data integrity, performance, and scalability. Implement a flexible Data Vault model in Snowflake to support large-scale analytics and BI. Collaborate with Data Engineers, Product Managers, and Data Scientists to deliver data-driven solutions. Engage with stakeholders … solutions. Implement and enforce data governance and quality processes across systems. Support cloud platforms such as AWS/Azure and tools like DBT with Snowflake for scalable data solutions. Continuously seek improvements in data systems, processes, and tools for efficiency and scalability. Key Skills/Experience: Solid understanding of … ETL/ELT processes with hands-on experience using DBT, Snowflake, Python, SQL, Terraform, and Airflow. Experience designing and implementing cloud-based data products and solutions. Proficiency with cloud data warehouses and analytics platforms such as Snowflake, AWS, and Azure. Experience with GitHub for version control and project More ❯

optimize SQL queries, ensuring data integrity, performance, and scalability, using best practices and techniques * Data vault Model implementation: Implement flexible Data vault model in Snowflake to support large-scale analytics and business intelligence. * Cross-Team Collaboration: Collaborate with Data Engineers, Product Managers, and Data Scientists to deliver solutions that … ensuring accurate and consistent data flows across all systems. * Cloud & Infrastructure Support: Work with cloud platforms such as AWS/Azure and DBT with Snowflake to build and maintain scalable data solutions. * Continuous Improvement: Proactively look for ways to improve data systems, processes, and tools, ensuring efficiency and scalability. … ETL/ELT & Data Pipelines: Solid understanding of ETL/ELT processes, along with hands-on experience building and maintaining data pipelines using DBT, Snowflake, Python, SQL, Terraform and Airflow * Experience in designing and implementing data products and solutions on cloud-based architectures. * Cloud Platforms: Experience working with cloud More ❯

facilitate report development and enable self-service reporting. Design and document logical and physical data models for the gold presentation layer (e.g., star/snowflake schema). Optimize physical data models in collaboration with engineering and data analysis teams for improved performance. Troubleshoot source-to-target data mappings More ❯

/ELT pipelines, particularly with tools like DBT, ensures efficient data transformation and modelling. A strong understanding of data modelling techniques, including star and snowflake schemas, is critical for structuring data for analysis. Proficiency in cloud platforms, such as AWS and GCP, with hands-on experience in services like … Databricks, Redshift, BigQuery, and Snowflake, is highly valued. Advanced Python skills for data manipulation, automation, and scripting, using libraries like Pandas and NumPy, are necessary for effective data engineering. Expertise in managing and optimising data architectures within data warehouse and lakehouse environments is a core requirement. Proficiency in version 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 ❯

other sources. Apply data cleansing rules to ensure high data quality standards. Model data into a single source of truth using Kimball methodology (star schema, snowflake, etc.). Develop high-quality code following DevOps and software engineering best practices, including testing and CI/CD. Monitor and maintain 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 ❯

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 ❯

within the team ?? Key Skills & Experience Extensive hands-on experience with Teradata and other enterprise data warehouses Strong knowledge of Teradata architecture, star/snowflake schemas, and SQL optimization Expertise in Teradata utilities: BTEQ, FastLoad, MultiLoad, TPT Solid understanding of Teradata Viewpoint, Query Grid, TD Stats, and TDWM Proven More ❯

for the business to support rapid growth. The Role: Developing new models for Credit risk decisioning/developing scorecard models using SQL, Python, and Snowflake Developing models for fraud prevention and models for customer analytics Working with senior stakeholders across different areas of the business being able to manage More ❯

for the business to support rapid growth. The Role: Developing new models for Credit risk decisioning/developing scorecard models using SQL, Python, and Snowflake Developing models for fraud prevention and models for customer analytics Working with senior stakeholders across different areas of the business being able to manage More ❯

for the business to support rapid growth. The Role: Developing new models for Credit risk decisioning/developing scorecard models using SQL, Python, and Snowflake Developing models for fraud prevention and models for customer analytics Working with senior stakeholders across different areas of the business being able to manage More ❯

level. As Senior Analytics Engineer, you will have sole ownership of analytics engineering at Omaze. You will use industry standard tools and platforms (dbt, Snowflake, ThoughtSpot) to amplify the effectiveness and impact of our (growing) analytics team. You will provide clean, tested, well-documented models, and work with our … give the team access to new data sources. What you’ll do: Fully own our dbt project, building and maintaining data models in our Snowflake data warehouse, blending and modelling data from multiple sources Work with analysts and engineers to collaboratively design and build data new models as the More ❯

fortune 100 company. As a key member of this team, you will play a pivotal role in designing and implementing data warehousing solutions using Snowflake and AWS. You will help drive the evolution of our data architecture as we move our North Star from Redshift to Snowflake. At Liberty … Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance. Key Responsibilities: Lead the design and implementation of Snowflake and Redshift based data warehousing solutions within an AWS environment Mentoring of team members through code reviews and pair programming Build and support new … quality. Skills and Experience: Bachelor's degree or higher in a technical discipline Proven experience as a data engineer with a strong focus on Snowflake and AWS services in large-scale enterprise environments Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Strong SQL More ❯

data and improve every decision we make at EFG. This is a unique opportunity to shape our data foundations, optimize our dbt models on Snowflake, and ensure our analysts and business users have access to clean, well-structured, high-performance datasets. Own Your Domain Ask all the whys, relentlessly … data stack - whether that is traditional BI, powering ML models or providing enriched data to operational systems via reverse ETL. Optimize dbt models on Snowflake, ensuring efficiency, reliability, and maintainability. Enforce best practices in dimensional modeling (star/snowflake schemas), normalization, and performance tuning. Write clean, modular SQL … write highly performant queries. You have multiple years of experience with dbt and have optimized models at scale. You have a deep understanding of Snowflake architecture, including performance tuning, clustering, caching, and cost optimization. You have created data sources for highly performant BI and know how best to optimize More ❯

Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday … from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in … Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for More ❯