301 to 325 of 1,964 Snowflake Jobs in the UK

next couple of years. Join us - and help us fulfil our mission to close the world's digital skills gap. Role: You will serve as AND Digital's top Snowflake authority and hands-on technical leader. In this role, you'll shape the architectural vision for Snowflake solutions, define best practices, and mentor engineering teams to deliver innovative, high-value … outcomes for our clients. Key Responsibilities: Technical Leadership: Set the technical standards and strategies for Snowflake implementations, ensuring high-quality delivery. Solution Design: Collaborate with cross-functional teams to architect and implement advanced Snowflake solutions that meet diverse client needs. Innovation & R&D: Evaluate Snowflake's evolving features and emerging cloud data technologies, identifying opportunities to introduce new services and … accelerators. Mentorship: Provide guidance and training to junior and mid-level engineers, fostering a collaborative learning environment. Advanced Support: Tackle complex Snowflake challenges and optimise performance, guaranteeing robust, scalable solutions. Documentation & Reusability: Develop technical documentation, code libraries, and accelerators that streamline future project delivery. Client Collaboration: Act as a trusted advisor during sales pursuits, project kickoffs, and governance meetings, articulating More ❯

next couple of years. Join us - and help us fulfil our mission to close the world’s digital skills gap. Role: You will serve as AND Digital’s top Snowflake authority and hands-on technical leader. In this role, you’ll shape the architectural vision for Snowflake solutions, define best practices, and mentor engineering teams to deliver innovative, high-value … outcomes for our clients. Key Responsibilities: Technical Leadership: Set the technical standards and strategies for Snowflake implementations, ensuring high-quality delivery. Solution Design: Collaborate with cross-functional teams to architect and implement advanced Snowflake solutions that meet diverse client needs. Innovation & R&D: Evaluate Snowflake’s evolving features and emerging cloud data technologies, identifying opportunities to introduce new services and … accelerators. Mentorship: Provide guidance and training to junior and mid-level engineers, fostering a collaborative learning environment. Advanced Support: Tackle complex Snowflake challenges and optimise performance, guaranteeing robust, scalable solutions. Documentation & Reusability: Develop technical documentation, code libraries, and accelerators that streamline future project delivery. Client Collaboration: Act as a trusted advisor during sales pursuits, project kickoffs, and governance meetings, articulating More ❯

Social network you want to login/join with: Principal Snowflake Engineer, Birmingham col-narrow-left Client: AND Digital Location: Birmingham, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 9577f45fc500 Job Views: 20 Posted: 17.06.2025 Expiry Date: 01.08.2025 col-wide Job Description: Who We Are: AND Digital are a tech company focused on … next couple of years. Join us - and help us fulfil our mission to close the world’s digital skills gap. Role: You will serve as AND Digital’s top Snowflake authority and hands-on technical leader. In this role, you’ll shape the architectural vision for Snowflake solutions, define best practices, and mentor engineering teams to deliver innovative, high-value … outcomes for our clients. Key Responsibilities: Technical Leadership: Set the technical standards and strategies for Snowflake implementations, ensuring high-quality delivery. Solution Design: Collaborate with cross-functional teams to architect and implement advanced Snowflake solutions that meet diverse client needs. Innovation & R&D: Evaluate Snowflake’s evolving features and emerging cloud data technologies, identifying opportunities to introduce new services and More ❯

business, computer science, statistics, applied mathematics or other quantitative field 3+ years of experience as a data architect Deep knowledge of data models, experimental design, and execution Understanding of Snowflake modeling best practices and query optimization 5+ years of experience providing business insight support for the executive team Focus on data driven decision making and learning by experimentation Experience leading … data engineers) Experience in both internal and external storytelling and executive presentations Expertise with analytics tools, data visualization, SQL, R, or Python Practical experience with Data Warehouse technologies specifically Snowflake and dbt Strong expertise with Excel, BI tools and ERP systems (i.e. Tableau, SAP) Strong ability to communicate complicated and nuanced insights in accessible language to relevant stakeholders To view More ❯

client are a start-up data consultancy looking to expand their data engineering practice to facilitate the service of their growing client base. This role will require proficiency in Snowflake, Python, DBT, AWS, and SQL. Consultancy experience would be a huge plus. Salary and Benefits Competitive salary of £55k - £65k (DOE) Fully remote working 25 days annual leave And many … more! Role and Responsibilities Design and deliver data pipelines using SQL, dbt, and Python within Snowflake to transform and model data for a variety of use cases. Build robust, testable, and maintainable code that integrates data from diverse sources and formats. Work closely with analytics, product, and client teams to turn data requirements into scalable solutions. Support the development of … standards, development processes, and client delivery playbooks. Participate in sprint planning, reviews, and retrospectives with a lean agile delivery mindset. What do I need to apply Strong experience with Snowflake Experience with Python, DBT, AWS, SQL. Strong stakeholder engagement. Experience with integrating API's Data science background or some exposure. My client have limited interview slots and they are looking More ❯

in ensuring Pret’s data infrastructure is robust, performant, and reliable. You will take ownership of the end-to-end management of Pret’s SQL databases and cloud-based Snowflake platform, enabling the business to efficiently store, manage, and access critical data for analytics, reporting, and operations. Reporting to the Lead Data Engineer, you will collaborate closely with the Data … you will champion modern database best practices, automation, and continuous improvement to unlock the full potential of Pret’s data. Responsibilities Take ownership of Pret’s MSSQL Server and Snowflake environments, ensuring high performance, reliability, and scalability. Design, implement, and optimise database architectures and data storage solutions to support data pipelines and analytics requirements. Monitor, troubleshoot, and resolve database performance … database security best practices, managing roles, permissions, and encryption to protect sensitive data. Support the delivery of CI/CD pipelines, enabling automation and seamless deployments across SQL and Snowflake environments. Provide expertise in query optimisation and data modelling to support reporting, analytics, and application performance. Collaborate with stakeholders across Operations, Finance, HR, and IT to ensure database solutions align More ❯

The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL and interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate … a Hedge Fund, Investment Bank, FinTech or similar Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing More ❯

The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL and interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate … a Hedge Fund, Investment Bank, FinTech or similar Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing More ❯

and scale a best-in-class data platform to support everything from dashboards and experimentation to ML and compliance Requirements Build and manage infrastructure for our data platform (AWS, Snowflake, dbt, Airflow) Design and implement CI/CD pipelines for dbt and other data workflows Automate data platform operations with Python and infrastructure-as-code tools (Pulumi/Terraform) Collaborate … Ensure data quality, lineage, and governance through testing and monitoring Work with cost observability tools to ensure efficient platform usage Essential: Proven experience working with cloud-based data platforms (Snowflake, Redshift, BigQuery, etc.) Proficiency in Python and SQL for automation and analytics Experience with CI/CD, preferably in dbt and/or data platforms Hands-on with IaC tools … like Pulumi, Terraform, or CloudFormation Good understanding of orchestration tools like Airflow Strong communicator, with experience working cross-functionally Desirable Skills: Cloud: AWS (S3, Lambda, MWAA), Azure DevOps Platform: Snowflake, dbt Cloud, Fivetran Orchestration: Airflow (MWAA), dbt jobs Languages: Python, SQL IaC: Pulumi, Terraform Monitoring: DataDog Salary: £60,000 - 90,000 + 10% annual bonus Benefits Why work at YouLend 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 ❯

Snowflake Data Engineer I am looking for a Data Engineer to join a well-known and successful organisation to deliver on a variety of data driven projects. The business is looking for someone to add a level of expertise to their team of Data Engineers and you will be given the platform to guide best practice when it comes to … Develop data migration pipelines Maintain and develop data warehouses Provide guidance and mentorship to junior team members To be successful in this role you will have. Extensive experience with Snowflake Experience with DBT, Airflow or Python Cloud Data Engineering experience with AWS/Azure/GCP This is a hybrid role based from the companies London office with some of 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 ❯

The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL and interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate … a Hedge Fund, Investment Bank, FinTech or similar Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing More ❯

The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL and interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate … a Hedge Fund, Investment Bank, FinTech or similar Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/TeamCity, monitoring, testing More ❯

and scale a best-in-class data platform to support everything from dashboards and experimentation to ML and compliance Requirements Build and manage infrastructure for our data platform (AWS, Snowflake, dbt, Airflow) Design and implement CI/CD pipelines for dbt and other data workflows Automate data platform operations with Python and infrastructure-as-code tools (Pulumi/Terraform) Collaborate … Ensure data quality, lineage, and governance through testing and monitoring Work with cost observability tools to ensure efficient platform usage Essential Proven experience working with cloud-based data platforms (Snowflake, Redshift, BigQuery, etc.) Proficiency in Python and SQL for automation and analytics Experience with CI/CD, preferably in dbt and/or data platforms Hands-on with IaC tools … like Pulumi, Terraform, or CloudFormation Good understanding of orchestration tools like Airflow Strong communicator, with experience working cross-functionally Desirable Skills Cloud: AWS (S3, Lambda, MWAA), Azure DevOps Platform: Snowflake, dbt Cloud, Fivetran Orchestration: Airflow (MWAA), dbt jobs Languages: Python, SQL IaC: Pulumi, Terraform Monitoring: DataDog Salary: £60,000 - 90,000 + 10% annual bonus Benefits Why work at YouLend More ❯

your role will be to provide clean, tested, well-documented and well-modelled data sets, that will enable and empower data scientists and business users alike, via tools like Snowflake and/or Looker. You'll work with product engineering teams to ensure modelling of source data meets downstream requirements. You will maintain and develop SQL data transformation scripts, and … Data Engineering/BI Engineering experience Excellent SQL skills Understanding of data warehousing, data modelling concepts and structuring new data tables Knowledge of cloud-based MPP data warehousing (e.g. Snowflake, BigQuery, Redshift) Nice to have Experience developing in a BI tool (Looker or similar) Good practical understanding of version control SQL ETL/ELT knowledge, experience with DAGs to manage More ❯

exciting opportunity has arisen at Brother’s European headquarters in Manchester for a Data Engineer to join our OneIT department. The ideal candidate will have experience with ETL processes, Snowflake, and Tableau, and will be instrumental in bridging the gap between data engineering and business strategy. Main Tasks Data Pipeline Development: Design, develop, and maintain robust ETL processes to ensure … efficient data flow from various sources into our data warehouse. Data Warehouse Management: Oversee the architecture and management of our Snowflake data warehouse, ensuring data is stored securely, efficiently, and is easily accessible. Data Quality Assurance: Implement processes to ensure data accuracy, consistency, and reliability across all platforms. Collaboration: Work closely with another BI Report team to help different business … skills, with the ability to convey complex technical concepts to non-technical stakeholders. Continuous Learning: Demonstrated commitment to continuous learning and professional development Preferred Qualifications: Experience with cloud platforms (Snowflake, Azure). Experience with Tableau as a BI tool. Knowledge of data governance and security best practices. Why work for Brother? When you join Brother, you join a company steeped 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 ❯

and governance standards are embedded within the architecture. Provide thought leadership on emerging technologies and innovations in data architecture. What We’re Looking For Strong preference for experience with Snowflake, DBT, and Python . Proven experience in data architecture, solution design, or similar roles within enterprise environments. Expertise in cloud-based data platforms (AWS, Azure, GCP, Snowflake, Databricks). Strong 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 ❯

will be doing Data Modelling & Engineering: Gather requirements from stakeholders and design scalable data solutions Build and maintain robust data models and exposures in the data warehouse using dbt, Snowflake, and Looker Document architectural decisions, modelling challenges, and outcomes in a clear and structured way Wrangle and integrate data from multiple third-party sources (e.g., Salesforce, Amplitude, Segment, Google Ads … Data Quality & Operations: Ensure quality, reliability, and stability across data models and pipelines Create secure, efficient data shares for external partners (e.g., S3, SFTP, Snowflake Data Sharing) Contribute to the evolution and continuous improvement of our data platform, tooling, and processes Stakeholder Enablement: Support business users across the company to promote a culture of data-driven decision-making Translate complex … warehousing and business intelligence You will have advanced SQL skills; experience with dbt and/or Looker is strongly preferred You will be proficient with modern data platforms (e.g., Snowflake, dbt, AWS, GCP, Looker, Tableau, Airflow) You will have experience with version control tools such as Git You will have exposure to Python for data or analytics engineering tasks (preferred More ❯

will be doing Data Modelling & Engineering: Gather requirements from stakeholders and design scalable data solutions Build and maintain robust data models and exposures in the data warehouse using dbt, Snowflake, and Looker Document architectural decisions, modelling challenges, and outcomes in a clear and structured way Wrangle and integrate data from multiple third-party sources (e.g., Salesforce, Amplitude, Segment, Google Ads … Data Quality & Operations: Ensure quality, reliability, and stability across data models and pipelines Create secure, efficient data shares for external partners (e.g., S3, SFTP, Snowflake Data Sharing) Contribute to the evolution and continuous improvement of our data platform, tooling, and processes Stakeholder Enablement: Support business users across the company to promote a culture of data-driven decision-making Translate complex … warehousing and business intelligence You will have advanced SQL skills; experience with dbt and/or Looker is strongly preferred You will be proficient with modern data platforms (e.g., Snowflake, dbt, AWS, GCP, Looker, Tableau, Airflow) You will have experience with version control tools such as Git You will have exposure to Python for data or analytics engineering tasks (preferred More ❯

no line management responsibilities. Our platforms are built with Clojure, employ a polylith architecture, are deployed using CI/CD, heavily exploit automation, and run on AWS, GCP, k8s, Snowflake and more. We serve 9 petabytes and 77 billion objects annually, which amounts to 20 billion ad impressions across the globe. You'll play a leading role in significantly scaling … and manage the platforms and data infrastructure that hold, secure, cleanse and validate, govern, and manage our data. Manage our data platform, incorporating services using Airflow/Composer, BigQuery, Snowflake, Kafka, and Redis running on Kubernetes, GCP, and AWS. Support our Data Science teams with access to data, performing code reviews, aiding model evaluation and testing, deploying models, and supporting … volume, transactional, global, industry. Experience with advertising technology (AdTech) highly desired. Proven experience and a passion for developing and operating data-oriented solutions using Python, Airflow/Composer, Kafka, Snowflake, BigQuery, and a mix of data platforms such as Spark, AWS Athena, Postgres and Redis. Excellent SQL development, query optimization and data pipeline development skills required. Strong experience using public More ❯

tools, and contribute to the continuous improvement of our data ecosystem. Lead the design and development of a scalable, modular, and maintainable Data Platform, using our key technologies, NATs, Snowflake, Prefect, running on Kubernetes in our AWS cloud environments. Build our Data Platform and solve complex data problems to deliver insights helping to build our trading data platform. Foster a … data libraries and frameworks such as Panadas and messaging systems, along with proficiency in building out modern data warehouses. Proficient with SQL. Good understanding of cloud-based warehouses (e.g. Snowflake, BigQuery). Experience with AWS, including S3, IAM, RDS, and Kubernetes and Terraform. Extensive experience of working with Analytics teams that provide in-depth analytics reporting capabilities across the business. More ❯

play a key part in designing, building, and optimising scalable data pipelines, ensuring high-quality, actionable data is readily available to drive decision-making. Working with modern tools like Snowflake and dbt, you’ll build and maintain our data infrastructure and collaborate with cross-functional teams, including analysts and stakeholders, to support reporting and insights. You’ll also have the … organisation. Key Responsibilities Design, develop, and maintain scalable and reliable ETL pipelines to extract, transform, and load data from a variety of sources. Build and optimise data models using Snowflake and dbt to ensure accuracy, integrity, and accessibility across the organisation. Write and optimise complex SQL queries for data transformation, reporting, and analysis. Collaborate with analysts and stakeholders to understand More ❯