1 to 25 of 179 Snowflake Jobs in the UK excluding London

testing, reconciliation, and integration verification activities. Core skills and experience: Proven experience designing scalable data architectures in cloud and hybrid environments. Expertise in data modelling, SQL, and platforms like Snowflake, dbt, Power BI, and Databricks. Fluency in Python and knowledge of multiple cloud providers (AWS, Azure, GCP). Understanding of security principles including role-based access control. Experience with legacy … BDD, and modern CI/CD practices. Strong communication and stakeholder influence skills. Practical experience with a major cloud platform (AWS, Azure, or GCP). Hands-on experience with Snowflake and dbt. Familiarity with varied data formats including CSV, JSON, and XML. Deep understanding of data modelling and data architecture principles. Any domain experience with the data for loyalty, travel More ❯

bring... Experience as a Data Product Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT More ❯

needs. About You Strong experience as a Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics More ❯

customer needs. Qualifications Strong experience as a Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics More ❯

customer needs. Qualifications Strong experience as a Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics More ❯

innovation. Youll contribute to major customer programmes and benefit from the support of a well-established knowledge-sharing community. What you'll do Design and implement data solutions using Snowflake across cloud platforms (Azure and AWS) Build and maintain scalable data pipelines and ETL processes Optimise data models, storage, and performance for analytics and reporting Ensure data integrity, security, and … best practice compliance Serve as a subject matter expert in Snowflake engineering efforts within delivery teams Collaborate with internal teams and customer stakeholders to define and deliver robust data solutions Participate in customer meetings to present and discuss technical solutions Identify and escalate technical risks where necessary What you'll need Proven experience designing and delivering enterprise-scale data warehouse … solutions using Snowflake In-depth understanding of Snowflake architecture, performance optimisation, and best practices Strong experience in ETL development, data modelling, and data integration Proficient in SQL, Python, and/or Java for data processing Hands-on experience with Azure and AWS cloud environments Familiarity with Agile methodologies such as Scrum, Kanban, or Lean Excellent communication skillsable to articulate complex More ❯

problem-solving skills and attention to detail. Excellent communication skills and a collaborative mindset. Nice To Have Experience with Python for data transformation, scripting, or automation tasks. Familiarity with Snowflake or other modern cloud data warehouses. Exposure to investment management, financial services, or regulated environments. Understanding of data modelling, governance, and best practices in data architecture. Company Market leading financial More ❯

and mutual respect; accepting differences and treating everyone fairly. The ability to think outside of the immediate task and constantly look at ways of improving processes. Desirable Experience with Snowflake, Azure, AWS Experience with GA4, Search Console and Meta data sets Experience with property management software MRI Qube, Yardi or similar. Experience with complex databases Experience in system support, monitoring More ❯

with cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.) Strong understanding of data modeling, data governance, and data quality principles Excellent communication skills with the ability to translate complex technical concepts for business stakeholders Strategic thinking with More ❯

Job Title : Data Engineer - Snowflake | DBT | SQL £700/day (Umbrella) London - 3 days per week on-site 6 months (Initial Contract) Are you ready to play a key role in shaping the future of a high-impact enterprise data platform? Join a fast-growing data team working on a greenfield data warehousing project at one of the world's … most respected financial institutions. This is an opportunity to work on cutting-edge data infrastructure using Snowflake, DBT, and Sigma, supporting business-critical data needs and enabling meaningful insights at scale. You'll be part of a collaborative team split across London and Ireland, contributing to a platform that directly supports secure, scalable data sharing and real-time decision-making. … What You'll Be Doing : Model and build robust, scalable data pipelines and warehouse structures using Snowflake and DBT Collaborate with stakeholders to ensure data solutions meet customer and business needs Develop and optimise data models to support real-time analytics and long-term scalability Contribute to platform architecture, data governance, and overall data strategy Use Sigma (or similar BI More ❯

orchestration tools and Agile/DevOps practices. Data Analytics Lead | Data Engineering Lead | Risk Reporting Lead | Risk Data Engineering | SQL Expert | Data Warehouse | Financial Risk Analytics | Risk Data Management | Snowflake | SQL Server | SSIS | Power BI | Regulatory Compliance | Market Risk | Credit Risk | Data Team Manager | Data Platform Lead | Data Transformation | Financial Institution | International Data Team | Data Platform Architecture Deerfoot Recruitment Solutions More ❯

of SQL and relational databases. NoSQL databases is also desirable. Solid experience of at least one Cloud provider such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience of working with different data formats, e.g., CSV, JSON and XML Building reliable Data Pipelines Experience in Data Modelling is highly desirable. Broader knowledge of IT More ❯

of SQL and relational databases. NoSQL databases is also desirable. Solid experience of at least one Cloud provider such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience of working with different data formats, e.g., CSV, JSON and XML Building reliable Data Pipelines Experience in Data Modelling is highly desirable. Broader knowledge of IT More ❯

of SQL and relational databases. NoSQL databases is also desirable. Solid experience of at least one Cloud provider such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience of working with different data formats, e.g., CSV, JSON and XML Building reliable Data Pipelines Experience in Data Modelling is highly desirable. Broader knowledge of IT More ❯

of SQL and relational databases. NoSQL databases is also desirable. Solid experience of at least one Cloud provider such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience of working with different data formats, e.g., CSV, JSON and XML Building reliable Data Pipelines Experience in Data Modelling is highly desirable. Broader knowledge of IT More ❯

Data Engineer - Investment Banking - London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Snowflake, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer) We have several fantastic new roles including a Data Engineer position to … across several teams to join their new and growing IT team! They are looking for an experienced Lead Data Engineer with expert level Java/Python, as well as Snowflake/Databricks to join an exceptional core engineering team and deliver features across their Data Engineering platform. We are seeking a Data Engineer who has advanced working knowledge of Snowflake More ❯

working with a London base (flexibility offered) High-impact role with a growing, values-driven data team Platform-focused, mission-led engineering Work with a modern cloud-native stack (Snowflake, DBT, Airflow, Terraform, AWS) What You'll Be Doing Serve as the technical lead for cross-functional data initiatives Define and champion best practices for building scalable, governed, high-quality … comfortable leading discussions with both technical and non-technical stakeholders A collaborative mindset and passion for coaching others Tech Environment Cloud : AWS (Kinesis, Lambda, S3, ECS, etc.) Data Warehouse : Snowflake Transformation & Orchestration : Python, DBT, Airflow IaC & DevOps : Terraform, GitHub Actions, Jenkins Monitoring & Governance : Monte Carlo, Collate Interested? If you're excited about platform-level ownership, technical influence, and building systems More ❯

use cases Implement CI/CD workflows Ensure GDPR compliance and secure data handling Requirements: 5+ years in data engineering or Strong experience with Azure, Databricks, Microsoft Fabric, and Snowflake Proficiency in SQL, Python, and tools like dbt and Airflow Familiarity with DevOps practices in a data context Benefits: Work on impactful, enterprise-wide data projects Collaborate with architects, analysts 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 ❯

and implementing improvements to existing processes and systems. Qualifications Knowledge of enterprise data warehousing, data integration and Business Intelligence (BI) reporting. Experience with cloud-based data warehouse solutions, e.g. Snowflake and optimisations. Significant SQL experience. Experience and knowledge of transformation tool DBT. Understanding of Role Based Access Controls and Data Governance concepts. Working knowledge of Python. Experience with modelling data 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 ❯

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 ❯

Proficiency in SQL and data modelling techniques. Strong analytical and problem-solving skills with an ability to work in agile development environment independently. Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Redshift, BigQuery, or similar). Ability to work independently and manage multiple projects simultaneously. Excellent communication and collaboration skills. THE BENEFITS As a Data Warehouse Engineer , you will More ❯

to learn, and naturally curious Comfortable working across multiple business areas with varied responsibilities Nice-to-Haves Exposure to tools like Prefect , Airflow , or Dagster Familiarity with Azure SQL , Snowflake , or dbt Tech Stack/Tools Python SQL (on-prem + Azure SQL Data Warehouse) Git Benefits £35,000 - £40,000 starting salary (up to £45,000 for the right More ❯

full potential. Liaise with stakeholders to shape clear, actionable data requirements - even when things are complex or incomplete. What You'll Bring Strong hands-on expertise in DBT, SQL, Snowflake , and orchestration tools like Airflow. Experience with Azure Data Factory and visualisation tools such as Power BI. Deep knowledge of agile data development methodologies and best practices. A passion for More ❯