51 to 75 of 299 Snowflake Jobs in London

best practices.Experience working with modern cloud platforms such as AWS, Azure, or GCP.Hands-on experience with modern data platforms, including technologies such as Databricks, Snowflake, Microsoft Fabric, or similar.Experience designing and implementing Generative AI solutions, including LLMs, AI agents, and RAG architectures.Familiarity with modern AI frameworks such as LangChain, LangGraph ...

partners and divisional teams. Support the Data Platform Modernisation (DPM) Programme, including migration of data pipelines, models and reporting objects from SQL Server to Snowflake, and contribute to Data Quality Improvement Project deliverables About us Are you looking for an exciting opportunity to develop your data engineering skills while helping … partners and divisional teams. Support the Data Platform Modernisation (DPM) Programme, including migration of data pipelines, models and reporting objects from SQL Server to Snowflake, and contribute to Data Quality Improvement Project deliverables Information Management Take lead responsibility for ensuring that the key mandatory NHS national returns (CSDS, CDS, IAPT ...

solutions. Key Responsibilities Design and architect enterprise-scale cloud data platforms. Define data architecture strategies, standards and governance. Deliver modern data solutions using Databricks , Snowflake , AWS and GCP . Enable advanced analytics, AI and machine learning capabilities. Work closely with engineering, data and business teams to deliver ...

Data Platform Architect, Data Architect, Cloud Architect, or similar Strong expertise designing cloud-native data solutions on AWS Experience with Databricks, Redshift, Snowflake, or related technologies Understanding of modern data engineering and analytics frameworks Exposure to AI and Machine Learning technologies Strong knowledge of data governance and security best practices ...

access management or cybersecurity-related datasets. Knowledge of Git and source control practices. Experience with Azure DevOps and release management processes. Understanding of the Snowflake data platform. Experience working within financial services or other highly regulated environments. ...

Strong engineering experience with technologies such as Python, SQL, Java, .NET or JavaScript Experience working with modern enterprise data technologies such as Snowflake and/or Databricks Good understanding of enterprise data platforms, data architecture, on-premise lakehouse architectures and enterprise systems Knowledge of DevOps, CI/CD, Infrastructure ...

iGaming, fintech, or high-volume transactional systems Experience modelling event-based data (e.g. transactions, sessions, gameplay flows) Familiarity with modern data stack tools (e.g. Snowflake, BigQuery, dbt, Kafka) Experience with real-time or streaming data architectures Exposure to regulatory or compliance-driven data environments Experience supporting AI/ML data ...

Experience working in gaming, digital products, consumer technology, e-commerce or subscription businesses. Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow. Experience with modern business intelligence and data visualisation tools such as Table #J-18808-Ljbffr ...

inclusive team environment where people are recognised and supported. Desired TOGAF or equivalent architecture certification. Certifications/exposure to Microsoft Fabric, Databricks, Snowflake , or similar enterprise data platforms. Experience with Data Mesh or domain-oriented data product operating models. Familiarity with governance platforms: Collibra, Informatica , etc. Experience working with global ...

surfaces you ship. Strong working knowledge of how to store and query large datasets at scale : SQL fundamentals; relational (e.g., Postgres), analytical (e.g., BigQuery, Snowflake), and embedded (e.g., SQLite) stores; and object storage with caching layers. Familiarity with ML workflow orchestration and experiment tracking (e.g., Kubeflow Pipelines, MLflow). Experience ...

quality. What we are looking for Experience Proven leadership of enterprise‐scale data platforms in complex organisations Deep expertise in cloud data technologies, including Snowflake, Databricks, AWS, and Microsoft stack Strong background in platform architecture and multi‐vendor, multi‐cloud environments Experience working in Agile environments with diverse stakeholders Knowledge ...

ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes‐based deployment approaches where relevant What ...

ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes‐based deployment approaches where relevant ...

databases (Neo4j) Knowledge of networking, security best practices, IAM configuration, and secrets management Experience supporting data pipelines, ETL workflows, and cloud data platforms (Databricks, Snowflake) Strong experience with the set up/design/governance and security of Clean Rooms and clean room integrations Previous experience in early-stage product ...

designing and implementing multi‐agent architectures Enterprise AI Integration & Data API‐ and event‐driven integration of AI into enterprise workflows Data platforms: Databricks, Spark, Snowflake; streaming via Kafka Backend & Distributed Systems Languages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus) Architecture: Microservices, domain‐driven design, event‐driven systems ...

Responsible AI/MRM compliance Enterprise AI Integration & Data API- and event‐driven integration of AI into enterprise workflows Data platforms: Databricks, Spark, Snowflake; streaming via Kafka Backend & Distributed Systems Languages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus) Architecture: Microservices, domain‐driven design, event‐driven systems APIs ...

visualisation are second nature to you. Hands‐on experience building data models in a modern cloud warehouse and transformation framework (e.g. dbt with BigQuery, Snowflake), with a strong instinct for data quality. A solid grasp of statistics and probability, including experiment design and interpretation (A/B and quasi‐experimental ...

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. ...

architectures, transformer-based rankers, or sequence embeddings.You have experience with uplift modelling and conditional average treatment effects for personalisation. You are familiar with dbt, Snowflake, AWS (S3, SageMaker), Airflow, and Trino/data lake stacks.You have prior CRM/marketing/e-commerce ML experience — customer lifecycle segmentation, campaign attribution ...

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 ...

/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 ...

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 ...

with enterprise security principles, identity management, and governance frameworks. Ability to balance strategic thinking with hands-on problem solving. Desirable Experience designing architectures involving Snowflake, Azure Data Lake, Databricks, or similar modern data platforms. Relevant cloud certifications (e.g. Azure Solutions Architect Expert). Experience working within regulated industries (finance ...