101 to 125 of 428 Snowflake Jobs in the UK

Engineering Python REST APIs Git CI/CD Containers Infrastructure as Code Testing AI systems Platform Engineering Kubernetes Azure AI Foundry Databricks Microsoft Fabric Snowflake MLOps/LLMOpstooling Consulting competencies TheAISolutionArchitect should be able to: Facilitate AI discovery workshops. Identify and prioritise business use cases. Estimate business value and ROI. ...

data platform. This is an opportunity to join at an exciting point in the journey, as the organisation continues to evolve towards a modern, Snowflake- and dbt-led data architecture. You'll have the opportunity to influence engineering standards, build new data products and help shape how data is engineered … although we're open to candidates with strong relevant experience. We're particularly interested in candidates with experience across: Cloud data warehousing - experience with Snowflake is highly desirable, but not essential . Experience with equivalent platforms such as Databricks, Azure Synapse, BigQuery or Redshift will also be considered. dbt - experience ...

problem‐solving and analytical skills Strong communication skills and stakeholder management experience Highly Desirable Exposure to IRESS Xplan , Xmerge or adviser platforms Experience with Snowflake, Power BI or Alteryx Knowledge of wealth management operating models and advice processes JavaScript development experience CI/CD and DevOps exposure ...

Preferred Qualifications: Cognos migrations, upgrades, and deployments. Power BI or Tableau exposure or AWS Quick Sight.- Nice to have ETL/Data Integration knowledge. Snowflake, Redshift, or cloud analytics experience. Benefits at IntelliBee Long-Term Stability: Join us on a multi-year opportunities with room to grow. Comprehensive Health Coverage ...

/CD, application resiliency, and security Practical cloud‐native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands‐on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such ...

with data engineering, data analytics, data visualisation and data science teams using platforms such as Alation, Soda, Microsoft SQL Server, Google Cloud Platform, DBT, Snowflake Cloud Data Platform, Tableau and Dataiku (or similar). Join us as we redefine travel experiences and create memories for millions of passengers. At Jet2.com ...

track record of successfully consolidating fragmented data environments and migrating legacy systems. Cloud Data Expertise: Deep knowledge of modern data stacks (e.g., BigQuery, Snowflake, or AWS) and BI tools (Looker/PowerBI). Data Governance Mastery: Experience defining global KPIs and implementing data quality frameworks that eliminate manual reporting errors. ...

operating models Deep understanding of cloud data ecosystems across AWS, Azure or GCP Experience working with modern data platforms and technologies such as Databricks, Snowflake, Fabric or equivalent ecosystems Strong stakeholder management and facilitation skills, including experience engaging senior leadership audiences Hands‐on technical credibility across data engineering, analytics ...

/CD, application resiliency, and security Practical cloud‐native experience Preferred Qualifications, Capabilities, and Skills: Experience with modern data technologies such as Databricks or Snowflake Hands‐on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such ...

NIST AI Risk Management Framework, ISO standards, or equivalent governance methodologies. Experience working with modern cloud and data platforms (e.g. Azure, AWS, GCP, Databricks, Snowflake, Microsoft Fabric) sufficient to ensure governance requirements are embedded within platform and solution designs. Experience facilitating executive workshops, stakeholder engagement sessions and governance forums, with ...

real impact for customers and colleagues alike To be successful as a Senior Cloud Data Platform Engineer, you should have experience with; Data Platforms. ( Snowflake/DBX/AWS ) 2Data Engineering/DevSecOps Cloud Platforms ( AWS/Azure ) Some other highly valued skills may include; Ai/ML, Data Architecture ...

Your experience: Excellent SQL development experience. Highly experienced in data ingestion, processing and storage techniques on cloud native tooling. Experience cloud data management i.e. Snowflake, AWS, DBT, or similar Paas and SaaS offerings. Experience of enterprise data management and security at scale. Knowledge of data modelling and optimisation. Expert ...

powered integrations. Knowledge of metadata, data catalogue, and lineage platforms such as OpenLineage, Marquez, or Alation. Experience working with modern data platforms, including Snowflake, Databricks, AWS Glue, and data quality repositories. Experience within financial services or a regulated industry is highly desirable. You may be assessed on the key critical ...

data owners and governance stakeholders to establish common definitions, terminology and semantic alignment.Supporting the implementation of enterprise semantic architectures across modern data platforms, including Snowflake, Databricks and associated metadata ecosystems.Collaborating closely with manufacturing SMEs, solution architects, data engineers and governance teams to ensure enterprise-wide consistency and reuse of semantic ...

architectural solutions (cost, performance, maintainability,). Data Solutions: Exposure to solutions linked to any our key areas of expertise: Data Platforms such as Fabric, Snowflake, or Databricks Analytics & Insightsolutions - Business intelligence, dashboard development AI- GenAI, LLM, Agentic solutions BlendedWorking: Weoperateablendedworkingmodel,withcolleaguesspendingatleasttwodaysperweekintheoffice,alignedtoprojectteamrequirements.Occasionaltraveltoclientsitesmayalsoberequired. Thisbalancehelpsusstayconnected,learnfromeachother,andbuildstrongrelationships-bothwithinourteamandwiththebusinesseswesupport. Benefits That ...

architectural solutions (cost, performance, maintainability,). Data Solutions: Exposure to solutions linked to any our key areas of expertise: Data Platforms such as Fabric, Snowflake, or Databricks Analytics & Insightsolutions - Business intelligence, dashboard development AI- GenAI, LLM, Agentic solutions Benefits That Put You First At Oakland, we believe in taking care ...

Azure DevOps.Data Architecture: Proficiency in overseeing multi-model data environments, including relational (MS SQL, PG SQL) and NoSQL (MongoDB) databases, alongside data integration pipelines (Snowflake, FiveTran).Observability & Security Integration: A proactive approach to system health (New Relic), security compliance (Snyk, Auth0), and incident management (PagerDuty, FlagSmith).Technical & Mobile Platform StrategySet ...

DevOps.* Data Architecture: Proficiency in overseeing multi-model data environments, including relational (MS SQL, PG SQL) and NoSQL (MongoDB) databases, alongside data integration pipelines (Snowflake, FiveTran).* Observability & Security Integration: A proactive approach to system health (New Relic), security compliance (Snyk, Auth0), and incident management (PagerDuty, FlagSmith).****Technical & Mobile ...

DevOps. Data Architecture: Proficiency in overseeing multi-model data environments, including relational (MS SQL, PG SQL) and NoSQL (MongoDB) databases, alongside data integration pipelines (Snowflake, FiveTran). Observability & Security Integration: A proactive approach to system health (New Relic), security compliance (Snyk, Auth0), and incident management (PagerDuty, FlagSmith). Technical & Mobile ...

consume, and depend on high-quality, well-governed data at scale. The Data Architect will own the end-to-end data architecture across spanning Snowflake as the enterprise data warehouse and a landscape of in-house application databases (relational, time-series, document, and in-memory stores) that serve real-time … data requirements into durable, governed, and scalable data solutions. Key Responsibilities Data Architecture & Strategy Define and own the data architecture target state, covering the Snowflake enterprise data warehouse, application databases, and the data flows that connect them Establish a unified data modelling standard across relational (PostgreSQL, Oracle), in‐memory (Redis ...

disciplinary teams delivering data solutions to clients across sectors. You’ll design and implement end-to-end data platforms on cloud data platforms (Databricks, Snowflake, AWS, Azure or GCP), with hands-on experience in data modelling, quality, and orchestration tools, driving business #J-18808-Ljbffr ...

machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager ...

machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. Commercially focused with the ability to prioritise and deliver high-impact outcomes. Data Science Manager ...

Data Platform Architect, Data Architect or Cloud Architect Strong AWS data platform expertise Experience with modern data technologies such as Redshift, Databricks or Snowflake Knowledge of Machine Learning, AI or Generative AI technologies Strong understanding of data governance and security Experience delivering enterprise-scale cloud solutions Excellent stakeholder management skills ...

enhancements. Design robust data models and seamless integration patterns connecting SFMC with Core Salesforce (Sales/Service Cloud), Data Cloud and enterprise data warehouses (Snowflake, BigQuery, etc.). Guide implementation teams, developers, and platform admins on best practices for Automation Studio, Journey Builder, SSJS, AMPscript, and SQL queries. Partner closely ...