1 to 25 of 52 Snowflake Jobs in Edinburgh

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 ❯

be great if you have: Experience of relevant cloud services within AWS, Azure or GCP. Experience working in an Agile environment. Experience working with common vendor products such as Snowflake or Data Bricks. Experience working with CI/CD tooling. What you’ll get in return is: 25 days’ annual leave, rising to 30 days with each year of service. More ❯

solid understanding of key processes in the engineering delivery cycle including Agile and DevOps, Git, APIs, Containers, Microservices and Data Pipelines. Experience working with one or more of Kafka, Snowflake, Azure Data Factory, Azure Synapse or Microsoft Fabric is highly desirable. Knowledge of data modelling and data architectures: Inmon, Kimball, DataVault. About You A high level of drive with the 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. About You We are looking for a skilled Lead Data Engineer who: Personal Attributes Self-starter with initiative and enthusiasm Thrives at solving problems with minimal … 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 ❯

working across both technical and business domains. Key technical skills: Strong SQL and ELT/data pipeline development experience Expertise in Data Warehouse & Data Lake design (including Star Schema, Snowflake Schema, Data Vault) Hands-on experience with enterprise databases: Oracle, Snowflake, Teradata, or SQL Server Solid understanding of AWS (S3, Lambda, IAM, etc.) Proficiency in Python (especially working with Boto3 More ❯

solutions Developing database scripts to migrate from current to cloud based databases Developing optimization plan and automated solutions for post migration environments Certified in AWS Pro Solutions Architect/Snowflake SnowPro, and/or GCP Pro Cert. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we More ❯

of-breed vendor tools. We deploy team members from on-shore, near-shore and off-shore teams, and often work alongside our major alliance partners, such as Microsoft, IBM, Snowflake, Moody’s, Service Now and Pega to deploy solutions. Increasingly we collaborate with FinTech firms too. We are passionate about keeping pace with the latest emerging technology. We have recently 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 … in overnight support rota 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 Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI solutions for business requirements Experience of developing using an Agile development approach Proven More ❯

Social network you want to login/join with: Overview: An exciting opportunity has arisen for a SQL Database Administrator to join one of the world’s leading transportation manufacturers who specialise in providing safety and securement solutions for mobility More ❯

working across both technical and business domains. ✅ Key technical skills: Strong SQL and ELT/data pipeline development experience Expertise in Data Warehouse & Data Lake design (including Star Schema, Snowflake Schema, Data Vault) Hands-on experience with enterprise databases: Oracle, Snowflake, Teradata, or SQL Server Solid understanding of AWS (S3, Lambda, IAM, etc.) Proficiency in Python (especially working with Boto3 More ❯

management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching. Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional 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 ❯

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 ❯

Senior Manager - Wealth Asset Management & Cloud Data Platforms, Snowflake, AI & Data, Financial Services Edinburgh/London Based The EY Financial Services AI & Data team is continuing to grow and develop unique data engineering propositions aligned to market needs and demand. We are currently looking for exceptional Senior Manager level consultants with strong experience in AI & Data solution design and implementation … role model for our people • Grow our relationships with key alliance partners Skills and attributes for success • Experience in designing cloud data platform solutions • In depth knowledge of the Snowflake platform and capabilities • Relevant experience of working with other cloud data platform solutions such as Databricks, GCP BigQuery, Microsoft Azure or AWS offerings would also be advantageous • Practical knowledge of More ❯

Lake, playing a key role in providing support to the business in their Data Science, AI, and ML initiatives. Our Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. We are currently engaged on multiple data focused projects which are in various stages of More ❯

data solutions in a consultancy, pre-sales, or technical advisory role. Knowledge and experience of one or more of the following key data technologies; Azure Fabric, SQL Server, Databricks, Snowflake, AWS Amazon Sagemaker, Oracle or equivalents. Proposal & Communication Expertise Strong written and verbal communication skills, with a proven ability to articulate complex concepts to technical and business audiences. Experience of More ❯

of £85,000 + a strong benefits package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you will … Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data Factory and Azure DevOps More ❯

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, and Snowflake, ensuring that our customers are provided with the highest quality solutions and services. Company Description Version 1 has celebrated over 28 years in Technology Services and continues to be trusted … 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, and 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 … and sell-side institutions in UK or Europe. Proven track record in selling consulting, digital transformation, or platform modernization deals. Familiarity with platforms such as Calypso, Broadridge, Murex, Bloomberg, Snowflake, and Markit EDM is advantageous. Knowledge of key regulations (MiFID II, EMIR, SFTR, Dodd-Frank, Basel III) and their impact on technology spend. Preferred Qualifications Bachelor’s/master’s More ❯

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, and 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 … and sell-side institutions in UK or Europe. Proven track record in selling consulting, digital transformation, or platform modernization deals. Familiarity with platforms such as Calypso, Broadridge, Murex, Bloomberg, Snowflake, and Markit EDM is advantageous. Knowledge of key regulations (MiFID II, EMIR, SFTR, Dodd-Frank, Basel III) and their impact on technology spend. Preferred Qualifications Bachelor’s/master’s More ❯

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, and 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 ❯

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. Ability to communicate complex technical ideas clearly to non-technical stakeholders. Strong communicator who can simplify complexity for diverse audiences. Thrive More ❯

Prior experience in a fast-paced environment, with exposure to financial services or technology industries being desirable. It’s a bonus if you also have experience in Python, DAX, Snowflake, Streamlit and GIT. What can Modulr offer you You’ll be part of a cross disciplinary team(s), with co-workers located in London, Edinburgh, Amsterdam and/or Mumbai. More ❯

in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact on deliverables. Familiarity 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 ❯