1 to 25 of 117 Remote Snowflake Schema Jobs in England

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 ❯

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 ❯

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 ❯

target state requirements Support in designing enterprise-level data products Apply conceptual, logical, and physical data model understanding Utilize data modelling techniques (e.g., star schema, snowflake schema, normalization/denormalization) Required Skills & Experience: Advanced SQL, SSIS packages, Python and Shell Scripting expertise Experience using ER Studio Hands 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 ❯

/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 ❯

and finance teams among others. You will work across the entire data stack—from ingestion to visualisation—transforming raw data into actionable insights in Snowflake with dbt cloud. You will closely partner with the Data Analyst to solve both critical business problems as well as creating innovative data products … ensure efficient querying and scalability as data needs grow while being cost effective. ● Enable self service through deep understanding of the domain and creative schema design as well as working closely with business stakeholders. ● Champion data integrity and governance, ensuring data is clean, accurate, documented and reliable across all … design and recommendations to both technical and non-technical audiences. ● Experience in SQL and hands-on experience with data warehouses/lakes/lakehouses (Snowflake, Databricks, Redshift, etc.). Experience with dbt is a plus. ● High proficiency in data modelling, either through university projects or your first role, you 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 ❯

data solutions, with a particular focus on advanced SQL for data transformation and optimisation. The ideal candidate will have hands-on experience working with Snowflake, Azure Data Factory, and Power BI, with proven ability to design and maintain semantic data models that support scalable analytics. Experience working with consumer More ❯

poster from Chapman Tate Associates Helping companies to hire specialist interim & contract professionals across Technology, Digital Transformation & Change, GIS, BI & Data Data Engineer – Oracle | Snowflake | Redress Projects Location: Remote/London Duration: 9 Months Start: ASAP Chapman Tate Associates is working with a leading financial services client based in … 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 . 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 More ❯

Git, ARM/Bicep, and building CI/CD pipelines Desirable experience: Integration to D365 and working knowledge of Microsoft Common Data Model Databricks, Snowflake Azure Functions, Service Bus, Event Grid Understanding of Kimball data-modelling techniques Microsoft Azure data certifications Azure Synapse: Synapse-link, on-demand SQL engine More ❯

in Data Engineering, Data Warehousing, or programming within a dynamic (software) project environment. Data Infrastructure and Engineering Foundations: Data Warehousing: Knowledge of tools like Snowflake, DataBricks, ClickHouse and traditional platforms like PostgreSQL or SQL Server. ETL/ELT Development: Expertise in building pipelines using tools like Apache Airflow, dbt … Azure or AWS. Programming and Scripting: Programming Languages: Strong skills in Python and SQL. Data Modeling and Query Optimization: Data Modeling: Designing star/snowflake schemas and understanding normalization and denormalization. SQL Expertise: Writing efficient queries and optimizing for performance. DevOps and CI/CD: Version Control: Using Git More ❯

future contacts. Skills & Experiences Proven expertise in cloud platforms such as Azure, AWS, or Google Cloud. Knowledge of cloud-native data services (e.g., Databricks, Snowflake). Understanding of data modelling (relational, NoSQL) and ETL/ELT processes. Experience with data integration tools (e.g., Kafka, Talend) and APIs. Familiarity with More ❯

model design and DAX optimisation . Good SQL skills — confident writing queries to extract, shape and validate data. Understanding of data models, star/snowflake schemas, and Power BI best practices. An eye for clean, user-friendly design and a proactive mindset for improving how insights are delivered. Bonus More ❯

Description We are looking for 2 Data Engineers, specializing in data modelling, ETL processes, and cloud-based data solutions. This position requires expertise in Snowflake, Azure, Python and Power BI , with a strong focus on building semantic models and supporting analytics. Key Responsibilities: Design and optimize ETL pipelines in … Snowflake and Azure Data Factory to streamline data integration and transformation. Build and manage semantic data models in Snowflake and Power BI to support scalable, user-friendly analytics and reporting. Develop Snowflake stored procedures using Python to automate workflows and handle complex data transformations. Ensure data integrity … and accessibility within Snowflake to support effective data warehousing operations. Collaborate with analytics and business teams to align data models with reporting needs and business goals. Qualifications: Strong experience in Data Engineering, with a focus on data modelling, ETL, and Snowflake. Proficiency in Snowflake for data warehousing, including More ❯

Description We are looking for 2 Data Engineers, specializing in data modelling, ETL processes, and cloud-based data solutions. This position requires expertise in Snowflake, Azure, Python and Power BI , with a strong focus on building semantic models and supporting analytics. Key Responsibilities: Design and optimize ETL pipelines in … Snowflake and Azure Data Factory to streamline data integration and transformation. Build and manage semantic data models in Snowflake and Power BI to support scalable, user-friendly analytics and reporting. Develop Snowflake stored procedures using Python to automate workflows and handle complex data transformations. Ensure data integrity … and accessibility within Snowflake to support effective data warehousing operations. Collaborate with analytics and business teams to align data models with reporting needs and business goals. Qualifications: Strong experience in Data Engineering, with a focus on data modelling, ETL, and Snowflake. Proficiency in Snowflake for data warehousing, including More ❯

Description We are looking for 2 Data Engineers, specializing in data modelling, ETL processes, and cloud-based data solutions. This position requires expertise in Snowflake, Azure, Python and Power BI , with a strong focus on building semantic models and supporting analytics. Key Responsibilities: Design and optimize ETL pipelines in … Snowflake and Azure Data Factory to streamline data integration and transformation. Build and manage semantic data models in Snowflake and Power BI to support scalable, user-friendly analytics and reporting. Develop Snowflake stored procedures using Python to automate workflows and handle complex data transformations. Ensure data integrity … and accessibility within Snowflake to support effective data warehousing operations. Collaborate with analytics and business teams to align data models with reporting needs and business goals. Qualifications: Strong experience in Data Engineering, with a focus on data modelling, ETL, and Snowflake. Proficiency in Snowflake for data warehousing, including More ❯

Description We are looking for 2 Data Engineers, specializing in data modelling, ETL processes, and cloud-based data solutions. This position requires expertise in Snowflake, Azure, Python and Power BI , with a strong focus on building semantic models and supporting analytics. Key Responsibilities: Design and optimize ETL pipelines in … Snowflake and Azure Data Factory to streamline data integration and transformation. Build and manage semantic data models in Snowflake and Power BI to support scalable, user-friendly analytics and reporting. Develop Snowflake stored procedures using Python to automate workflows and handle complex data transformations. Ensure data integrity … and accessibility within Snowflake to support effective data warehousing operations. Collaborate with analytics and business teams to align data models with reporting needs and business goals. Qualifications: Strong experience in Data Engineering, with a focus on data modelling, ETL, and Snowflake. Proficiency in Snowflake for data warehousing, including More ❯

We are looking for a Data Engineer, specializing in data modelling, ETL processes, and cloud-based data solutions. This position requires expertise in Snowflake, Azure, Python and Power BI, with a strong focus on building semantic models and supporting analytics. Please only apply if you are confident with the … clients to achieve their desired results, covering Retail, Out of Home, E-Commerce, and Field Sales. Key Responsibilities: Design and optimize ETL pipelines in Snowflake and Azure Data Factory to streamline data integration and transformation. Build and manage semantic data models in Snowflake and Power BI to support … scalable, user-friendly analytics and reporting. Develop Snowflake stored procedures using Python to automate workflows and handle complex data transformations. Ensure data integrity and accessibility within Snowflake to support effective data warehousing operations. Collaborate with analytics and business teams to align data models with reporting needs and business More ❯

RAG systems or AI agents coordinating workflows for advanced information retrieval. Familiarity with prompt engineering and building evaluation pipelines for generative models. Exposure to Snowflake or similar cloud data platforms. Broader data science experience, including forecasting, recommendation systems, or optimization models. Experience with streaming data pipelines, real-time inference More ❯

in Data: We recognise the power of data and are fully committed to growing a best-in-class team. Cutting-Edge Tech: Work with Snowflake, Power BI, and AI-driven solutions to shape the future of data analytics. People-First Culture: A collaborative, flexible, and supportive work environment. Career … SQL Server Data Warehouses and associated data feeds into and out of the warehouses, and developing on our new modern cloud data platform, requiring Snowflake, dbt and Azure Data Factory experience. Our data platform's support regulatory requirements, business intelligence & reporting needs and numerous system integrations. This role requires … warehousing principles and practices. You will be critical in the development and support of the new Evelyn Data Platform, which is being engineered on Snowflake, utilising Azure Data Factory pipelines for data integration, dbt for data modelling, Azure BLOB Storage for data storage, and GitHub for version control and More ❯