201 to 225 of 408 Snowflake Jobs in the UK

Movielabs...) etc) and practical implications. 3. Ability to really get stuck in – proactive rather than reactive. Tech Stack Cloud: On AWS Infrastructure/Access Management: Using Terraform Data Platform: Snowflake Data Integration Tool: Fivetran Data Transformation Tool: DBT core Data Orchestration Tool: MWWA(Airflow managed by AWS) CI/CD Pipelines: Github Actions Program Languages: SQL, Python and Terraform For More ❯

Movielabs...) etc) and practical implications. 3. Ability to really get stuck in – proactive rather than reactive. Tech Stack Cloud: On AWS Infrastructure/Access Management: Using Terraform Data Platform: Snowflake Data Integration Tool: Fivetran Data Transformation Tool: DBT core Data Orchestration Tool: MWWA(Airflow managed by AWS) CI/CD Pipelines: Github Actions Program Languages: SQL, Python and Terraform For More ❯

S3, Kinesis, Glue, Redshift, Lambda, EMR). Experience with Azure technologies (ADF, Synapse, Fabric, Azure Functions) is also valued. Strong understanding of modern data lakehouse architectures , such as Databricks , Snowflake , or Microsoft Fabric (highly desirable). Exposure to Palantir Foundry or Gotham is an advantage. Relevant industry certifications (e.g. DAMA , DCAM ) are preferred. More ❯

Digital Experience domains. Proficiency in SQL for data extraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning More ❯

high-impact team working across industries to deliver complex data projects, develop new services, and drive technical excellence. The Opportunity We’re seeking a highly skilled Senior Data Engineer (Snowflake) to join this dynamic and growing team. This role offers the chance to lead data engineering delivery across a range of client projects, designing and optimising cloud-based data architectures … mentoring team members, and working closely with stakeholders to deliver high-quality, scalable solutions. You’ll work extensively with Snowflake , Python , and SQL , leveraging leading cloud technologies (AWS, Azure, or GCP) and best practices in CI/CD and automation . This is a hands-on and strategic position, ideal for an experienced data engineer who enjoys both technical problem … ahead in emerging technologies. Key Skills & Experience Experience: 5+ years building and optimising data pipelines, architectures, and large-scale data systems within cloud environments (AWS, Azure, or GCP). Snowflake Expertise: Strong practical experience with Snowflake components (Snowpipe, Snowpark, Tasks, Dynamic Tables, UDFs). SnowPro certification preferred. Technical Proficiency: Advanced Python and SQL skills for ETL/ELT workflows and More ❯

high-impact team working across industries to deliver complex data projects, develop new services, and drive technical excellence. The Opportunity We’re seeking a highly skilled Senior Data Engineer (Snowflake) to join this dynamic and growing team. This role offers the chance to lead data engineering delivery across a range of client projects, designing and optimising cloud-based data architectures … mentoring team members, and working closely with stakeholders to deliver high-quality, scalable solutions. You’ll work extensively with Snowflake , Python , and SQL , leveraging leading cloud technologies (AWS, Azure, or GCP) and best practices in CI/CD and automation . This is a hands-on and strategic position, ideal for an experienced data engineer who enjoys both technical problem … ahead in emerging technologies. Key Skills & Experience Experience: 5+ years building and optimising data pipelines, architectures, and large-scale data systems within cloud environments (AWS, Azure, or GCP). Snowflake Expertise: Strong practical experience with Snowflake components (Snowpipe, Snowpark, Tasks, Dynamic Tables, UDFs). SnowPro certification preferred. Technical Proficiency: Advanced Python and SQL skills for ETL/ELT workflows and More ❯

Confidence working independently as the sole Power BI Developer • Solid experience with SQL databases • Proficiency with Power Query (this is a nice to have) • Exposure to modern cloud environments, Snowflake experience is a bonus Benefits of the opportunity: • Full ownership of Power BI reporting with the chance to shape its future • Competitive salary up to £50,000 • Hybrid working More ❯

Confidence working independently as the sole Power BI Developer * Solid experience with SQL databases * Proficiency with Power Query (this is a nice to have) * Exposure to modern cloud environments, Snowflake experience is a bonus Benefits of the opportunity: * Full ownership of Power BI reporting with the chance to shape its future * Competitive salary up to £50,000 * Hybrid working More ❯

and infrastructure . Skills & Experience Required Proven experience as a Data Architect in complex enterprise environments. Strong experience with data modelling tools (e.g. Erwin ). Hands-on experience with Snowflake (highly desirable). Good understanding of ETL processes – familiarity with tools such as Matillion , Talend , or MuleSoft is advantageous. Broader experience with data warehouses and cloud-based architectures. Strong grasp More ❯

Proven expertise working with Microsoft Azure In-depth knowledge of data modelling, data integration, and data management principles and techniques. Experience working with Modern Data Warehouse platform such as Snowflake or similar. What's in it for you: Competitive salary and performance-based bonuses. Flexible work hours and remote work options. Competitive pension contributions Private health and dental care. Income More ❯

Proven expertise working with Microsoft Azure In-depth knowledge of data modelling, data integration, and data management principles and techniques. Experience working with Modern Data Warehouse platform such as Snowflake or similar. What's in it for you: Competitive salary and performance-based bonuses. Flexible work hours and remote work options. Competitive pension contributions Private health and dental care. Income More ❯

to-end across the data pipeline – from data extraction to model evaluation. Collaborating with cross-functional teams to turn insights into actionable business decisions. Tech Stack & requirements: Python | SQL | Snowflake | DBT | Tableau | Dataiku 3+ years of experience in Data Science or Machine Learning. Strong Python & SQL skills, with experience working in cloud-based data environments. A problem-solver with a More ❯

to-end across the data pipeline – from data extraction to model evaluation. Collaborating with cross-functional teams to turn insights into actionable business decisions. Tech Stack & requirements: Python | SQL | Snowflake | DBT | Tableau | Dataiku 3+ years of experience in Data Science or Machine Learning. Strong Python & SQL skills, with experience working in cloud-based data environments. A problem-solver with a More ❯

Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc. Ideally previous experience with Snowflake and DBT. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved predictive models. If you’re interested in More ❯

Maintain a user-centred mindset , constantly measuring and iterating on how engineering decisions translate into product value. Technical Environment: Languages & Frameworks : Python, TypeScript, React, Svelte Infrastructure & Tools : AWS, PostgreSQL, Snowflake, CI/CD pipelines Ways of Working : Agile squads, continuous delivery, outcome-oriented culture You’ll work in a collaborative, engineering-led environment where autonomy, accountability, and thoughtful innovation are More ❯

Proven expertise working with Microsoft Azure In-depth knowledge of data modelling, data integration, and data management principles and techniques. Experience working with Modern Data Warehouse platform such as Snowflake or similar. Whats in it for you: Competitive salary and performance-based bonuses. Flexible work hours and remote work options. Competitive pension contributions Private health and dental care. Income protection More ❯

Skill Set Java (11) Junit 5 React React Testing Library (Frontend Unit testing) Cypress (Frontend E2E Testing) Spring Boot (Microservice Architecture) Sybase Mongo DB Kubernatis Understanding on Cloud infra (Snowflake) Roles & Responsibilities Day to Day development work on the application Understanding Agile methodologies, Scrum, Refinement etc. Understanding on application and system workflow Involvement in technical design discussion with broader team More ❯

confidence in working within digital and traditional channel platforms. (CM360, Various DSPs, Google Ads, SA360, Meta, TikTok, Snapchat, Reddit, etc.) Versed in commonly used technologies including data platforms using Snowflake, Adverity, Tableau, and SQL Exceptionally self-motivated and directed Experience advocating and driving product adoption and usage Superior analytical, evaluative, and problem-solving abilities Acxiom is a customer intelligence company More ❯

confidence in working within digital and traditional channel platforms. (CM360, Various DSPs, Google Ads, SA360, Meta, TikTok, Snapchat, Reddit, etc.) Versed in commonly used technologies including data platforms using Snowflake, Adverity, Tableau, and SQL Exceptionally self-motivated and directed Experience advocating and driving product adoption and usage Superior analytical, evaluative, and problem-solving abilities Acxiom is a customer intelligence company More ❯

technologies that we utilise are: C# .Net Web Services SQL Server (Including T-SQL) Angular (with Typescript) RabbitMQ/Kafka Various Azure Features (App Services, VMs, Config etc...) Git Snowflake Nuget (Producing and Consuming)Azure DevOps (CI) Prometheus & Grafana (Monitoring & Alerting) ELK Stack/Azure Log Analytics (Logging) We are also in the middle of a transformational migration to Azure. More ❯

technologies that we utilise are: C# .Net Web Services SQL Server (Including T-SQL) Angular (with Typescript) RabbitMQ/Kafka Various Azure Features (App Services, VMs, Config etc...) Git Snowflake Nuget (Producing and Consuming)Azure DevOps (CI) Prometheus & Grafana (Monitoring & Alerting) ELK Stack/Azure Log Analytics (Logging) We are also in the middle of a transformational migration to Azure. 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 ❯

buildkite) and Docker Cloud: You have worked with cloud-based environments before (we use AWS) SQL: You have a good grasp of SQL, particularly with cloud data warehouses like Snowflake Version control: You are proficient with git Soft Skills: You are an excellent communicator, with an ability to translate non-technical requirements into clear, actionable pieces of work You have 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 ❯