16 of 16 Permanent Snowflake Jobs in Edinburgh

Title: Sr. Snowflake ArchitectJob Location: Edinburgh/Hybrid (2 days a week)Is it Permanent/Contract: Open for Both (If contract initial 6 months)Key ResponsibilitiesDefine the enterprise data strategy, reference architectures, and target-state blueprints anchored on the Snowflake AI Data Cloud, spanning data ingestion, storage, processing, serving … governance.Lead end-to-end modernization and migration programs to Snowflake including legacy EDW estates (e.g., Teradata, SQL Server), data lakes/lakehouses, and integration platforms covering migration assessment, roadmap, cutover, parallel-run validation, and decommission plans.Govern data modeling standards and patterns (dimensional star/snowflake, Data Vault, 3NF, wide-table ...

Minimum Criteria You'll need all of these. Proven experience in business intelligence, data analytics, or a related field Experience/familiarity with Oracle, Snowflake databases or similar Knowledge of ELT tools e.g. DBT, ODI or similar technology Strong knowledge of data management principles, database systems, and data warehousing concepts. ...

Have significant hands‐on experience with a modern cloud data platform such as Microsoft Fabric (our current client’s platform), Databricks, Snowflake, or Synapse, including designing and operating production data pipelines - the platform is the wrapper, not the skill, and someone strong on one will pick up another quickly Have ...

design, AI governance, and end-to-end implementation management. Assist clients in executing their AI & Data strategy through deployment of modern Data platforms like Snowflake, Databricks, and Microsoft Fabric. Develop and implement data management artifacts by establishing data governance requirements including data lineage discovery, data quality control design and measurement ...

will collaborate with data scientists and ML engineers, mentor junior engineers, and elevate engineering practices. The role emphasises Python, PySpark, and platforms like Databricks, Snowflake, or AWS. You will design and maintain data pipelines, ensure reproducible, point-in-time datasets, and support model versioning and retraining. #J-18808-Ljbffr ...

metadata or data-quality tooling such as Informatica, Collibra, Talend Data Fabric or equivalent. Understanding of Data Products and modern data platforms such as Snowflake, including how governance is embedded across their lifecycle. Working knowledge of DAMA-DMBOK principles and their application to Data Governance and Data Management. Experience delivering ...

cross-functional and global teams to build and implement data management frameworks that reduce risk and drive value. You will deploy data platforms like Snowflake, Databricks and Microsoft Fabric, develop governance artifacts, and contribute to EY.ai data solutions and thought leadership. #J-18808-Ljbffr ...

work closely with investors, analysts, risk colleagues and technical teams to translate business requirements into trusted, reusable and well-designed data products, with Snowflake as our primary investment data platform. This is a hands-on, individual-contributor role with a high degree of autonomy. It is deliberately neither a pure … entitlement considerations. Experience with modern cloud data platforms and analytical architectures, with the ability to understand complex data flows, dependencies and existing platform designs. Snowflake knowledge and experience is highly desirable, with experience of platforms such as Databricks also relevant. Hands-on experience with major investment data vendors, for example ...

architect. Cloud & Platform Mastery: Expertise in overseeing enterprise-scale migrations, data warehousing, and analytics workloads across major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake). Data Governance & Compliance: Robust understanding of data security, lineage, privacy (GDPR, CCPA), and financial sector regulatory frameworks (BCBS 239, DORA, Basel standards) governing financial data … Bridge the gap between C-suite strategy and engineering pods. Interrogate data architecture decisions, oversee cloud platform deployments (AWS/Azure/GCP, Databricks, Snowflake), and ensure technical solutions scale reliably and securely. Pre-Sales & Data Solutioning: Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution proposals ...

Secure by Design, threat modelling, application security testing, vulnerability management and security risk assessment. Experience with Java/Spring Boot, React/Node.js, Snowflake, Salesforce, Kubernetes/OpenShift, Snyk or Wiz would be useful. Equivalent experience with other languages, cloud platforms and security tools is welcome. Minimum criteria ...

while establishing sound architectural blueprints. You will serve as the strategic bridge between C-suite client decision-makers, hyperscaler partners (AWS, Azure, GCP, Databricks, Snowflake), and internal delivery teams. You will architect end-to-end solutions spanning modern data platforms, medallion architectures, Enterprise AI, and Agentic workflows, ensuring technical feasibility … scale enterprise data & AI deals with executive business stakeholders. Hands-on experience in co-selling with cloud platforms and hyperscalers (Azure, AWS, GCP, Databricks, Snowflake). Outstanding communication skills, with a demonstrated ability to translate complex technical concepts for both developer teams and C-suite audiences. A global mindset, with ...

customer data structures. Experience with Braze SDK implementations, inbound personalisation and push notifications. Experience with Salesforce Data 360 or another Customer Data Platform, JavaScript, Snowflake or BigQuery, as well as leading or mentoring developers and setting technical standards and best practices. Salary: A monthly salary indication between €5.500 and €7.000 ...

engineering practice. The foundations still matter: this is a data engineering role at heart, built on Python, PySpark, and platforms like Databricks, Snowflake, or AWS. What you'll be doing: Take ownership of designing, building, and maintaining the production data and feature pipelines that machine learning systems depend on, training … pipelines the ML work sits on, using Python, PySpark, and cloud data services (e.g., AWS Glue, EMR, S3, Redshift, Athena, or the Databricks/Snowflake equivalents), making sound decisions on architecture, data modelling, and tooling and weighing up trade-offs in performance, cost, and maintainability Own and continuously improve ...

uses data. As a Senior Data Platform Engineer, you’ll take a leading technical role across a broad and evolving estate spanning Microsoft Fabric, Snowflake, PostgreSQL, Oracle and Microsoft SQL Server, working across both cloud and on-premises environments. You’ll have the opportunity to influence how these platforms … expect you to be an expert in every technology. We’re looking for deep expertise in one or more of Microsoft Fabric, Snowflake, PostgreSQL combined with the appetite to broaden your expertise, solve complex problems and help other engineers develop. Responsibilities Act as a senior technical contributor across data platform ...

configure connectivity to Apple internal system dependencies Apple Internal Networking & Connectivity Configure and maintain networking between Kube and Apple’s internal systems, including Shield, Snowflake, Appleconnect, Floodgate, and any other platform dependencies the team relies on Own namespace and compute provisioning on the shared Kube cluster, ensuring workloads are appropriately … Experience with AWS or AWS@Apple, particularly EKS Familiarity with Apple’s internal platform tooling: Kube, Shield, Appleconnect, Floodgate, or similar Experience integrating with Snowflake, including managing drivers, credentials, and network access Experience with CI/CD pipelines (GitLab CI, Jenkins, GitHub Actions, or similar) Exposure to security tooling, vulnerability ...

configure connectivity to Apple internal system dependencies Apple Internal Networking & Connectivity Configure and maintain networking between Kube and Apple’s internal systems, including Shield, Snowflake, Appleconnect, Floodgate, and any other platform dependencies the team relies on Own namespace and compute provisioning on the shared Kube cluster, ensuring workloads are appropriately … Experience with AWS or AWS@Apple, particularly EKS Familiarity with Apple’s internal platform tooling: Kube, Shield, Appleconnect, Floodgate, or similar Experience integrating with Snowflake, including managing drivers, credentials, and network access Experience with CI/CD pipelines (GitLab CI, Jenkins, GitHub Actions, or similar) Exposure to security tooling, vulnerability ...