1 to 25 of 27 Permanent Snowflake Jobs in Scotland

Strong knowledge of Data Engineering including Data Lakes and Warehouses, experience of Lakehouse and Medallion Data architectures. Proficiency with cloud technologies like Databricks, Azure Data Factory and/or Snowflake (or similar Data Engineering platforms). Strong emphasis on Data Integrity, Accuracy, and Reconciliation principles. Experience of working in a controlled development environment employing relevant software engineering principles, Software Development More ❯

experience with: Cloud platforms (AWS/Azure) Data Engineering (Airflow/DBT, Spark) DevSecOps practices Additional highly valued skills include: Terraform Python/Java AWS/Azure Data Engineering Snowflake/Databricks You may be assessed on key skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology More ❯

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 and CICD techniques to efficiently deliver change in a consistent, controlled, and high-quality manner Experience with cloud-based data storage and data processing platforms such as Databricks, Snowflake and Microsoft Fabric. Understanding of data security and privacy regulations. Strong problem-solving skills with an automation mindset. Excellent communication and collaboration skills to work effectively with cross-functional teams. 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 ❯

Experience engaging senior stakeholders, interpreting business needs, and operating with minimal supervision Desirable Experience Python for data transformation or analysis DAX for advanced Power BI metrics Experience working with Snowflake Use of Git for version control Streamlit or similar tools for lightweight data apps This role has been deemed Outside IR35 by the client. Applicants must hold, or be happy More ❯

enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We're an award-winning employer reflecting how our employees are at the very heart of Version More ❯

Glasgow. To be successful as a Data Engineer , you should have experience with: Python AWS Glue Athena S3 VPC Redshift Highly valued skills include: Knowledge of dbt Knowledge of Snowflake Knowledge of Databricks This role is based in our Glasgow office. Purpose of the role Build and maintain systems that collect, store, process, and analyze data, such as data pipelines 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 ❯

. You'll ideally have experience with most of the following: Commercial experience developing in Qlik (ideally with Sense Cloud) , including scripting and dashboard design Hands on experience with Snowflake Experience with QlikView is beneficial but not essential Proficiency in SQL and working with relational databases Experience designing and implementing ETL processes Understanding of data warehousing and building data lakehouses More ❯

. You'll ideally have experience with most of the following: Commercial experience developing in Qlik (ideally with Sense Cloud) , including scripting and dashboard design Hands on experience with Snowflake Experience with QlikView is beneficial but not essential Proficiency in SQL and working with relational databases Experience designing and implementing ETL processes Understanding of data warehousing and building data lakehouses 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 ❯

will possess the following: Experience with data modelling tools and techniques (e.g., ER/Studio, ERwin, UML, etc.). Proficiency in SQL/Python and data manipulation. Knowledge of Snowflake & Azure Understanding of data architecture principles and data governance. Good understanding of database management, design best practices and enterprise-level data architecture. Ability to communicate complex technical ideas clearly to More ❯

meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack. Collaborate seamlessly across diverse technical stacks, including Databricks, Snowflake, etc. Developing various components in Python as part of a unified data pipeline framework. Contributing towards the establishment of best practices for the optimal and efficient usage of data across … as Pandas, NumPy, PySpark, etc. 3+ years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines 3+ years of proficiency in working with Snowflake or similar cloud-based data warehousing solutions 3+ years of experience in data development and solutions in highly complex data environments with large data volumes. Solid understanding of ETL principles More ❯

taxonomies, maturity assessments and alignment of gaps to enabling technology solutions Appreciation/Experience in designing and governing data platform architectures (e.g. broad understanding of Informatica, Collibra, Ab Initio, Snowflake, Databricks) Appreciation of and interest in attaining end-to-end data skills e.g., data quality, metadata, data-mesh, data security, privacy & compliance Experience with Enterprise/platform/application (e.g. 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 ❯

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 ❯

services platforms (e.g., payments, open banking, faster payments). Cloud-Native & Scalable Design: Expertise in architecting and deploying resilient, scalable solutions in cloud environments (AWS preferred), with exposure to Snowflake and other modern data platforms. Event-Driven & Service-Oriented Systems: Proven experience with event-driven architectures (Kafka) and microservices/service-oriented design, including system modelling, solution design, and governance. More ❯

as part of Barclays' wider Scaled Agile adoption. The Enterprise Data Platform (EDP) Team is building a new, firm-wide data platform using cutting-edge technologies including AWS, Azure, Snowflake, Databricks, and more. The EDP Product Office is responsible for defining the platform and product roadmap, leading Agile adoption across EDP, and overseeing initiatives in areas such as Risk & Control. More ❯

enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We're an award-winning employer reflecting how our employees are at the very heart of Version 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 ❯

role, you will work collaboratively with our clients to enhance their ability to solve complex business problems by delivering engagements related to the deployment of Data Platforms such as Snowflake and Databricks. We provide expertise and delivery across two core areas: Data Architecture & Engineering - Focusing on next generation data platforms, architecture and implementation, making data available and trusted to deliver … practices. Support RFP responses as well as thought leadership articles that we issue to the market. Experience in Data Platform Technologies, including some of the following capabilities: Understanding of Snowflake/Databricks architecture, including basic data warehousing concepts and data sharing capabilities The ability to write SQL and/or Python queries for the purposes of transforming, joining and aggregating … data Ability to analyse datasets and generate insights using Snowflake and/or Databricks analytical tools and features Practical knowledge of common data engineering and BI/data visualisation integrations such as dbt, Azure Data Factory, PowerBI and Sigma Experience using native functionality to deploy and interact with Large Language Models Ability to develop, test and deploy machine learning models 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 ❯

which is pivotal to our strategy and enabling the business and clients. You will bridge the gap between business stakeholders and technical teams, ensuring data solutions built on our Snowflake data warehouse meet the needs of clients, distribution, product, and investment teams. This is an infrastructure role, working closely with data engineers, technical leads, product owners, and reporting teams to … automation technology to enhance the analyst role and share best practices with colleagues. About the Candidate The ideal candidate will possess: Proven experience as a Systems Analyst Familiarity with Snowflake or similar cloud-based data warehouse platforms Ability to think from the perspective of internal end users, focusing on usability, clarity, and business value Experience working in Agile teams, proficient More ❯

pivotal to our strategy and enabling the business and client. You will help bridge the gap between business stakeholders and technical teams, ensuring that data solutions - built on our'snowflake data warehouse - are aligned with the needs across clients, distribution, product, and investment teams. This is an infrastructure role, and you will work closely with data engineers, technical leads product … to enhance the analyst role and share best practices with colleagues. About the Candidate The ideal candidate will possess the following: Proven experience as a'systems Analyst Familiarity with'snowflake or similar cloud-based data warehouse platforms. Ability to think from the perspective of internal end users, with a focus on usability, clarity, and business value. Experience working in Agile More ❯