18 of 18 Snowflake Jobs in Scotland

pipelines Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow) Working across leading cloud platforms (AWS, Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver real business value What were looking for Strong experience with Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data More ❯

pipelines Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow) Working across leading cloud platforms (AWS, Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver real business value What we re looking for Strong experience with Python, SQL , and pipeline tools such as dbt or Airflow Proven background in More ❯

pipelines Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow) Working across leading cloud platforms (AWS, Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver real business value What we’re looking for Strong experience with Python, SQL , and pipeline tools such as dbt or Airflow Proven background in More ❯

integration or migration projects. Strong data analysis and profiling skills, with experience in tools such as SQL, Excel, or Power BI. Familiarity with enterprise data platforms (eg, Azure, AWS, Snowflake, or GCP). Understanding of data modelling, metadata, and data quality principles. Ability to interpret technical and business data requirements and translate them into actionable tasks. Strong attention to detail More ❯

will possess the following: Experience with data modelling tools and techniques (eg, 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 ❯

maintainable systems. Good understanding of security, compliance, and agile delivery practices. Passionate about learning new technologies and collaborating with teams, including mentoring junior engineers. Nice-to-have experience with Snowflake, DBT, Terraform, and Azure DevOps CI/CD pipelines. We are proud to be a Disability Confident Committed employer. If you have a disability and would like to apply to More ❯

data lakes, and data pipeline design. Proven experience commercially leveraging AI to drive business outcomes. Broad technical expertise across digital, security, data, and application architectures. Experience with Databricks or Snowflake would be preferred. Experience with AWS Glue or AWS Athena would be advantageous. Confident stakeholder management and communication skills at all levels. Leadership capability within Agile or scaled Agile environments. More ❯

have a number of years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines. ETL process expertise is essential. Proficiency in working with Snowflake or similar cloud-based data warehousing solutions is also essential. Experience in data development and solutions in highly complex data environments with large data volumes is also required. You will 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 ❯

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 ❯

Principal Software Engineer - Snowflake page is loaded Principal Software Engineer - Snowflakeremote type: Hybridlocations: Edinburgh, GBtime type: Full timeposted on: Posted Todayjob requisition id: JR2454Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight … heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action About the Role We're looking for a Principal Software Engineer to join our Snowflake Platform team within our Data Platform group. You'll be responsible for the systems and infrastructure that integrate Snowflake into our broader data ecosystem, ensuring our platform is maintainable and … continues to technically evolve to meet our customers' needs.As well as working on our internal Snowflake platform, you'll collaborate with the third parties we partner with to ensure the technical success of those projects and ensure they are aligned to our requirements. Key Responsibilities Be a technical leader who can work across multiple teams to solve complex technical problems More ❯

Curious - we turn knowledge into action Role Summary We are seeking an experienced Data Architect to lead, design and manage our modern data infrastructure, with a strong focus on Snowflake, data modelling, dbt, and data engineering. The ideal candidate will play a key role in shaping AI-centric data solutions that support scalable product development, analytics, operational efficiency, and strategic … for ensuring data contracts are established, guaranteeing that all data is suitably prepared for product development, analytics, and AI applications. Role Responsibilities Design and implement robust data architectures leveraging Snowflake and AWS cloud data platform. Develop and maintain scalable data models to support product delivery, analytics and business intelligence needs. Lead the design and implementation of data transformation workflows using … engineering, modelling and architecture topics. Experience of using AI to accelerate all aspects of good data management. Key Skills and Experience Proven experience designing and managing data architectures using Snowflake and AWS environments at scale. Excellent leadership, collaboration and communication skills across large, multi-disciplined organisations. Practical expertise in designing enterprise ontologies and knowledge networks. Strong understanding of dimensional and More ❯

Pipelines, and SQL/T-SQL, ensuring data quality, performance, and reliability. Contribute to the evolution of our cloud-native data architecture, leveraging Azure Databricks, Azure Data Lake, and Snowflake where appropriate. Apply strong data modelling and transformation skills to support analytics, regulatory reporting, and operational use cases. Promote and implement engineering best practices, including test automation, unit testing, and … possess the following: Understanding of Agile delivery and collaborative development in an Asset Management or Finance Technology environment Experience in SQL Exposure to cloud platforms such as Azure and Snowflake Understanding of Python for data engineering and transformation Familiarity with DevOps tooling and CI/CD pipelines Strong foundation in software development practices, including unit testing, code deployment and production More ❯

a job opportunity on a 6 months contract inside IR35 with our leading banking client EDINBURGH BASED - PREFERRED Skills are as below: Strong SQL coding skills Experience working in Snowflake Expertise in Tableau or Amazon QuickSight Proficiency in SAS , particularly to support our ongoing migration to cloud platforms It's working in the data measurement team and is facing off More ❯

impact. About the Role As a Data Platform Engineer at Aberdeen, you will be at the heart of building and evolving a modern, cloud-based data platform using Azure, Snowflake, DBT, and Microsoft Fabric. Working within a Data Mesh architecture, you will enable decentralized data ownership and empower domain teams through self-service data capabilities. Your expertise will drive the … Responsibilities About the Candidate Design and implement a Data Mesh architecture, enabling decentralized data ownership and collaboration across domain teams. Develop and maintain scalable cloud data infrastructure using Azure, Snowflake, DBT, and Microsoft Fabric, ensuring performance and automation. Build self-service data platforms and automate data pipelines to empower domain teams to manage their own data products independently. Collaborate with … improvement. The ideal candidate will possess the following: Strong hands-on experience with Azure services, including resource groups, networking, Data Factory, Key Vault, and Azure Fabric. Proven expertise in Snowflake administration, including database/user management, warehouses, role-based access control, and data sharing. Solid experience with DBT for data transformation, including best practices for modular, testable, and version-controlled More ❯

Senior Engineer to join our Data & Analytics team. This role is instrumental in delivering clean, modern, and efficient data solutions across cloud-native platforms. Key Responsibilities Develop solutions across Snowflake, Azure, and DBT platforms. Lead migration and optimisation of applications using Azure cloud-native services. Write clean, testable, and maintainable code following industry standards. Implement CI/CD pipelines and … deliver user-centric solutions. About the Candidate The ideal candidate will possess the following: Strong understanding of data warehousing, ELT/ETL processes, and data modelling. Proficiency in Azure, Snowflake, and DBT. Experience in application modernisation and migration. Ability to produce clean, testable, maintainable code. CI/CD pipeline implementation and test automation. Familiarity with AI-powered development tools like More ❯

to the development of clean, efficient, and scalable data solutions across cloud-native platforms, supporting the delivery of high-quality data products and services. Key Responsibilities Develop solutions across Snowflake, Azure, and dbt platforms Support migration and optimisation of applications using Azure cloud-native services Write clean, testable, and maintainable code following industry standards Implement and maintain CI/CD … the following: Experience as a Data/Integration Engineer or similar role Understanding of data warehousing, ELT/ETL processes, and data modelling Knowledge of Cloud-native development (Azure, Snowflake, dbt) Agile methodologies and collaboration to drive Innovation and continuous improvement Excellent communication skills and ability to work with both technical and non-technical stakeholders We are proud to be More ❯

diverse datasets (including real-world data) to extract insights and support innovation. Develop data pipelines and analytical tools using SQL, Python or R, and modern data platforms (e.g. Databricks, Snowflake). Partner with engineering teams to ensure seamless data integration and delivery. Engage directly with clients to understand their technical challenges and translate them into data solutions. Support research, validation … years of experience in data science, analytics, or data engineering. Solid coding skills in Python or R, and confidence with SQL. Experience with cloud-based data platforms (Databricks, Snowflake, AWS, or similar). A strong analytical mindset and a hands-on attitude — happy building dashboards as well as models. Excellent communication skills, comfortable working with clients and non-technical stakeholders. More ❯