17 of 17 Snowflake Jobs in Scotland

customer needs. Qualifications Strong experience as a Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics More ❯

concepts to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope More ❯

learning the business supported by the applications. Desirable Skills & Experience: Experience with MongoDB. Knowledge of the Equity Derivative business. Experience with cloud platforms (Azure/AWS). Exposure to Snowflake, IBM MQ, Kafka, or other high-performance data and caching technologies. Salary More ❯

or Native SAP HANA Nice-to-Have: SAP S/4HANA Embedded Analytics SAP ABAP and/or Core Data Services (CDS) SAP Business Data Cloud, Databricks Microsoft Fabric, Snowflake, Power BI, etc. PERSONAL PROFILE – EXPERIENCE 10+ years of consulting experience in SAP BW or Native HANA and related SAP Analytics technologies, with recent experience working with SAP Datasphere and More ❯

or Native SAP HANA Nice-to-Have: SAP S/4HANA Embedded Analytics SAP ABAP and/or Core Data Services (CDS) SAP Business Data Cloud, Databricks Microsoft Fabric, Snowflake, Power BI, etc. PERSONAL PROFILE – EXPERIENCE 10+ years of consulting experience in SAP BW or Native HANA and related SAP Analytics technologies, with recent experience working with SAP Datasphere and More ❯

or Native SAP HANA Nice-to-Have: SAP S/4HANA Embedded Analytics SAP ABAP and/or Core Data Services (CDS) SAP Business Data Cloud, Databricks Microsoft Fabric, Snowflake, Power BI, etc. PERSONAL PROFILE – EXPERIENCE 10+ years of consulting experience in SAP BW or Native HANA and related SAP Analytics technologies, with recent experience working with SAP Datasphere and More ❯

drive business outcomes. What you'll bring Experience designing solutions in complex environments, ideally within financial services. Strength in one or more of the following: Data platforms such as Snowflake, Databricks, Azure Fabric, Power BI. Platform engineering and shared services enablement. Familiarity with Microsoft technologies, especially Azure and .NET. A curious mindset and a passion for applying emerging tech to More ❯

disciplinary teams Have interest or experience with key Technology Platforms across AI solutions (OpenAI, AWS), Cloud (Azure, AWS, Google), Supply Chain (O9, BlueYonder, Kinaxis), CRM (Dynamics, Salesforce), Data (Palantir, Snowflake), ERP (SAP S4) or others. Have proven stakeholder management and communication skills, leveraged to influence and persuade on key architectural decisions Keen to explore how emerging technologies can be leveraged More ❯

add to the teams that build our customer facing products. You’ll be iterating quickly on our modern tech stack (NodeJS/NestJs microservices, Vue, Redis, SQL Server and Snowflake) and deploying code to production (in AWS) on a regular basis as we respond rapidly to customer requirements. We are looking for candidates with TypeScript experience, although you don’t More ❯

cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies Experience with large-scale database technology (e.g. Snowflake) Experience with using Tableau reporting More ❯

languages: Python and SQL ● Experience in leading complex engagements to deploy advanced analytics and data science methods at scale in real world organizations ● Exposure to extra tooling such as Snowflake, Excel and Tableau is a plus ● Familiarity with neural network architectures (Transformers), RAG models, deep learning libraries (TensorFlow/PyTorch) and machine learning libraries (scikit-learn) is a plus More ❯

languages: Python and SQL ● Experience in leading complex engagements to deploy advanced analytics and data science methods at scale in real world organizations ● Exposure to extra tooling such as Snowflake, Excel and Tableau is a plus ● Familiarity with neural network architectures (Transformers), RAG models, deep learning libraries (TensorFlow/PyTorch) and machine learning libraries (scikit-learn) is a plus More ❯

languages: Python and SQL ● Experience in leading complex engagements to deploy advanced analytics and data science methods at scale in real world organizations ● Exposure to extra tooling such as Snowflake, Excel and Tableau is a plus ● Familiarity with neural network architectures (Transformers), RAG models, deep learning libraries (TensorFlow/PyTorch) and machine learning libraries (scikit-learn) is a plus More ❯

such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing More ❯

data product engineering, data marketplace architecture, data developer portals and understanding of AI/ML solutions. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in data & AI such as speaking at industry events, contributing to More ❯

such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing More ❯

Data and BI systems for 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 at solving problems with minimal or … delivery at scale (high 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 … delivery at scale (high 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 Good understanding of MLOPS Good More ❯