226 to 250 of 375 Snowflake Jobs in England

structures. Degree in Computer Science or related field preferred. Highly preferred: Experience with TDD, BDD or other testing methodologies Preferred: Familiarity with PostgreSQL and Snowflake Preferred: Familiarity with Web Frameworks such as Django, Flask or FastAPI Preferred: Familiarity with event streaming platforms such as Apache Kafka Preferred: Familiarity with data ...

infrastructure in AWS. Ideally will be a bonus if you have the following... Experience or knowledge of FluxCD, GitOps workflow, Appgate, MongoDB, Airflow (MWAA), Snowflake Experience in Apache Airflow (MWAA), AWS Backup and S3 versioning for business continuity. Programming experience in C#, Python and/or SQL Experience in Keycloak ...

expertise in at least one of C#/.Net, Python, Nodejs and/or React Good experience of cloud‐based data platform technologies e.g. Snowflake, and low code platforms e.g. Outsystems, Power Platform, is an advantage Good understanding of engineering principles, patterns and best practices for designing applications Plenty ...

GitHub Cloud & Platform Technologies Familiarity with Kubernetes Experience with AWS Serverless services and S3 Infrastructure as Code using Terraform Data & Streaming Experience with Snowflake Experience working with Kafka Observability & Monitoring Knowledge of tools such as NewRelic or Grafana Desirable Criteria Familiarity with Salesforce Marketing Cloud and its APIs Familiarity with ...

role in this ambition. You will design and develop the data pipelines that underpin our Analytics and Data Science Platform (ADSP) - a Snowflake-based data lake house used daily by analysts, data scientists, finance teams and senior leaders across the system. This is a hands-on technical role within … duties of the job Design, build and maintain scalable data pipelines to ingest, transform and publish data from a range of partners into our Snowflake platform. Work with a modern cloud-based technology stack including Azure, Snowflake, Matillion, Python, dbt and OpenFlow. Translate requirements from analysts, data scientists and stakeholders ...

delivery of data and analytics programmes, ensuring alignment with business goals, timelines, and quality standards. Planning, tracking, and managing complex technical dependencies across Snowflake, dbt, Airflow, and GitHub‐based development workflows. Collaborating closely with data engineering and analytics teams to support Snowflake architecture, performance optimisation, and cost management. Overseeing … Essential skills/knowledge/experience: Proven experience in a Technical Program Manager, Technical Project Manager, or similar role. Strong hands‐on understanding of Snowflake, dbt, GitHub, and Airflow in a production environment. Demonstrable experience delivering data engineering or analytics platform programmes. Solid understanding of modern data stacks, ETL pipelines ...

across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies. Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions … architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern ...

pipelines from diverse data sources and formats Hands‐on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks Experience collaborating with Agile teams, product owners, and cross‐functional stakeholders, with strong communication skills for both technical and non‐technical audiences Experience applying … support highly scalable data engineering solutions that power Moody’s next‐generation digital content platform. Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades Collaborate with Moody’s technical teams ...

/ML-enabled use cases.• Prefer Databricks, Spark and modern lakehouse patterns for scalable analytics where suitable, while recognising transferable experience with Snowflake and other enterprise data platforms.• Ensure delivery choices balance speed, maintainability, governance, lineage, security and production robustness.**Data Modelling, Governance and Controls**• Work closely with technical … deliver enterprise data or analytics products.• Hands-on understanding of data technologies and modern analytics platforms, preferably Databricks/Spark and lakehouse patterns; Snowflake experience is relevant and transferable but Databricks experience is preferred.• Experience with Python, SQL and production analytics workflows; familiarity with big-data engineering, Kafka, Power ...

data architecture and engineering, aligning data solutions with compliance standards. The role involves creating architecture artifacts, designing scalable data solutions with cloud technologies like Snowflake and Databricks, and collaborating with solution architects. This hybrid position offers a salary of £450 - £500 per day, commensurate with experience. #J-18808-Ljbffr ...

build, and sustain data infrastructure powering our travel platform, writing production-grade Java and Python, and delivering scalable end-to-end data pipelines across Snowflake, BigQuery, and Hive. You will collaborate with Product, Analytics, Data Science, and CRM teams, owning the full data-pipeline lifecycle and ensuring data integrity, governance ...

platform, with the ability to challenge and guide technical solutions Broader understanding of cloud data ecosystems, with knowledge of platforms such as Synapse or Snowflake being beneficial Comfortable working across data engineering, analytics, and business teams Confident communicator who can influence stakeholders and handle complex or challenging conversations Experience delivering ...

design decisions. Desirable: Experience with personalisation, experimentation and optimisation platforms. Exposure to AI-enabled decisioning or customer engagement solutions. Experience with platforms such as Snowflake, Databricks, Hightouch or similar. TOGAF or equivalent certification. Experience supporting large-scale transformation programmes. ...

ground up, adapting quickly, and thriving in ambiguity. Additional Criteria Experience with data clean rooms, identity resolution, or cloud data ecosystems (AWS, GCP, Azure, Snowflake). Comfort operating in early-stage or cross-functional environments. #J-18808-Ljbffr ...

duplicating them: Infrastructure for AWS accounts, networking, and cloud operations; Security for identity, access, and data protection; and Data/enterprise systems teams for Snowflake and system integrations. Key Responsibilities Own the internal implementation and architecture of Amazon Bedrock/AgentCore and related AWS services as the businesses single enterprise ...

enjoy being a product expert, creative problem solving, and want to work with a world-class team and customers such as Coinbase, Snowflake, Toast, Northwestern Mutual, Notion, Canva, Samsara, Databricks, Miro, and many more. You Will Help our largest customers drive procurement success on the Zip platform. Define customer business ...

diagnostic tooling.* Solid scripting skills (PowerShell, Bash, or Python).**Nice to have*** Experience with Observability tools like DataDog* Understanding of Zero Trust Architecture* Snowflake experience**About Willis Re**We combine specialist broking with analytics, modeling and research to help insurers optimize risk transfer, strengthen balance sheets and achieve sustainable ...

oversight on complex or strategic engagements and act as an escalation point for capability‐specific issues. Where relevant, collaborate with technology partners (e.g., Databricks, Snowflake) to align tools, methods, and certifications. Lead capability‐specific communities of practice and advocate for the capability’s needs within the wider consultancy. Own capability ...

Lambda, RDS/Postgres, DynamoDB, SQS, Kinesis, S3, Cognito, Route53, VPC, EC2) Terraform, Kubernetes, Helm, Ansible, Puppet GitLab CI Observability & Data Prometheus, Grafana, OpenSearch Snowflake You don’t need experience in every tool, but you should feel confident in modern cloud-native, infrastructure-as-code environments. Our Engineering Philosophy ...

rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees ...

long-running orchestration. Infra: AWS, Terraform, strong observability via Sentry and Datadog (full-stack, not just logs). Data: we lean heavily on Snowflake, Omni, dbt, Fivetran, Amplitude and Segment – and we’ve even built some of our own tooling to understand how well we’re helping members. ...

long‐running orchestration. Infra: AWS, Terraform, strong observability via Sentry and Datadog (full‐stack, not just logs). Data: we lean heavily on Snowflake, Omni, dbt, Fivetran, Amplitude and Segment — and we’ve even built some of our own tooling to understand how well we’re helping our members. ...

ensuring data is accurate, performant, and trusted across analytics and ML use cases. The environment is modern and cloud-first, with exposure to Spark, Snowflake, and BigQuery across AWS, GCP, and Azure. You'll also collaborate closely with product, analytics, and machine learning teams and contribute to improving engineering standards. … What We're Looking For * Strong **Python and advanced SQL** in production environments * Experience delivering end-to-end data engineering solutions * Exposure to **Spark, Snowflake, BigQuery** or similar * Cloud experience across **AWS, GCP, or Azure** * Comfortable working with messy, large-scale datasets * Strong ownership from design through to deployment ...

deliver reusable technical assets — reference architectures, POV frameworks, or architectural playbooks — at scale.Fluency across the modern data and AI stack: cloud data platforms (Snowflake, Databricks, BigQuery), agentic frameworks, RAG, vector databases, LLM orchestration, data governance, and enterprise integration patterns.Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.Hands … patterns, and the TCO trade-offs of building with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC) for enterprise data integration and MDM, alongside Snowflake, Databricks, BigQuery, and Redshift.AI & Agentic Architecture Foundational ML concepts, data preparation, Python, applied AI, Generative AI, prompt engineering, retrieval-augmented generation (RAG), vector stores ...

platforms for different-size organisations. Practical hands-on experience of designing, architecting & deploying AI-enabled solutions at least one cloud data platform (e.g. Databricks, Snowflake, AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) ideally including practical/… hands-on experience of migration to or adoption of a cloud data platform. Strong Databricks expertise is a must (ideally with appropriate certifications) with Snowflake and/or MS Fabric experience a bonus. Previous practical experience of using both SQL and task orchestration software (eg. dbt, Airflow/Prefect/ ...