15 of 15 Permanent Snowflake Jobs in Scotland

for large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to More ❯

Python, SQL, .NET, dbt, Airflow and cloud-native data tools (AWS, GCP or Azure) You have strong knowledge of data architecture patterns - including Lakehouse and modern warehouse design (e.g. Snowflake, BigQuery, Databricks) You know how to build with performance, security and maintainability in mind You can comfortably influence and guide both technical and non-technical stakeholders You're passionate about More ❯

Sisense, Power BI, Streamlit). Technical Skills Experience with ETL processes and APIs for data integration. Understanding of statistical methods and data modelling techniques. Familiarity with cloud platforms like Snowflake is advantageous. Knowledge of data governance frameworks and data security protocols. Soft Skills Exceptional attention to detail and problem-solving capabilities. Strong communication skills, able to translate complex insights for 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 ❯

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 ❯

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 ❯

engineering team on implementation. Build consensus across CISO and business units to drive data security solutions organization-wide. Expertise in modern data platforms, preferably with experience in Databricks and Snowflake implementations. Relevant certifications such as cloud-specific certifications (e.g., AWS Certified Security - Specialty) are preferred. Purpose of the role To serve as the primary liaison between business, technology, and security More ❯

Automating and orchestrating workflows using tools like AWS Glue, Azure Data Factory, or Google Cloud Dataflow Working with platform services such as Amazon S3, Azure Synapse, Google BigQuery, and Snowflake Implementing Lakehouse architectures using tools like Databricks or Snowflake Collaborating closely with engineers, analysts, and client teams to deliver value-focused data solutions We'd love to talk to you 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 ❯

feeds and related applications Writing, testing and peer review of ETL code in Oracle ODI Working with business users to design and configure self-serve data environments within our snowflake data lake Analysing, developing, delivering, and managing BI reports Assisting in the design of the data processes, including data quality, reconciliation, testing, and governance Contributing to technical process improvement initiatives … support rota Minimum Criteria You'll need all of these. Experience of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI Significant database experience in Snowflake or Oracle Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI solutions for business requirements Experience More ❯