426 to 450 of 509 Snowflake Jobs in London

where this role lives. As Senior Analytics Engineer, you will own a set of domains in our transformation layer (dbt and Snowflake) and make them genuinely dependable, well modelled, tested, documented and semantically rich enough that both a person and a machine can get a trustworthy answer without a human … doing the querying. Your Responsibilities in this Role Own the modelling and transformation of your domains end to end in dbt and Snowflake, from the business question through to the governed model that answers it Set and defend modelling methodology alongside our existing Analytics Engineer, grain, dimensional patterns, and where ...

cashflow models and their methodologies and tools. You’ll work hands-on with cutting-edge technologies such as AWS services, Python, Beacon, Rust, Snowflake, and UI layers, to create robust, high-performing systems and model that deliver real business impact. You’ll collaborate with engineers and stakeholders to define … Pricing, Valuation, Reinsurance & Structuring, Longevity Experience Analysis and Solvency II Capital. Develop and integrate services using technologies such as AWS, Python, Rust, Beacon, and Snowflake to support analytics and reporting Ensure you follow the defined software development lifecycle (SDLC) Monitor, improve, and support platform performance, proactively identifying and resolving issues ...

with stakeholders to understand business needs and translate them into clear, well-scoped requirements Build and maintain robust data models and exposures in dbt, Snowflake, and Looker — using AI-assisted development to move faster, spending less time hand-writing boilerplate and more time specifying intent, reviewing, and refining Read, debug … depend on our models Ensure quality, reliability, and stability across data models and pipelinesCreate secure, efficient data shares for external partners (e.g. S3, SFTP, Snowflake Data Sharing) Contribute to the continuous improvement of our data platform, tooling, and ways of working — including how we use AI in our workflows Stakeholder ...

focus for this role over the next few months will include: Designing, building and maintaining production-grade data pipelines and services across AWS, PySpark, Snowflake and SQL-based transformation frameworks Developing and maintaining modular, testable and high-quality data models and transformation pipelines using DBT or equivalent structured SQL frameworks … Infrastructure-as-Code such as Terraform Your Profile Essential skills/knowledge/experience: Experience with AWS data stack (S3, EMR, EC2, etc.) PySpark & Snowflake & CI/CD & DevOps Performance optimisation and large-scale data processing Data modelling (RDV/BDV or similar patterns preferred) Query performance tuning ...

team, which builds and governs the data foundation that powers the business. You'll work within our stack — Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks — helping move data reliably and securely from source to decision-ready output.You'll implement features and fixes against a given design, handle known … investigating and root-causing pipeline issues independently before escalating Experience with workflow orchestration tools (Airflow or similar) and a cloud data warehouse/lakehouse (Snowflake, Databricks, or similar) Solid understanding of data pipeline concepts: idempotency, schema evolution, backfills, and data quality/testing Experience giving substantive code review feedback ...

running the platform that brings together data from our e‐commerce, manufacturing, fulfilment, and finance systems. We build on a modern, warehouse‐native stack — Snowflake, dbt, and Dagster — and we’re working towards a governed semantic layer so trusted metrics are defined once and consumed everywhere: dashboards, self‐service tools … supply chain to design data models and unlock analytic capabilities Define metrics, dimensions, and business logic in the semantic layer (dbt Semantic Layer/Snowflake semantic views) Deliver reporting through our BI tooling (currently Tableau) with a tool‐agnostic mindset, and reduce duplicated or conflicting outputs. Curate and validate governed ...

CACI Limited is seeking a Senior Technical Consultant - Data Architect in London to lead enterprise data platform architecture across Snowflake and Databricks. The role involves designing target-state architectures, data models, and governance while ensuring security and regulatory compliance. Hybrid working with regular client-site visits is expected. The candidate ...

Test Triangle Limited in London seeks a Senior Data Engineer to design, build, and operate enterprise-scale data solutions. You will leverage Snowflake with hands-on Python, PySpark, AWS and Airflow to create scalable data platforms and robust analytics capabilities. The role emphasizes technical leadership, governance, and collaboration with cross ...

office). You will join a global financial technology environment to build and enhance critical data infrastructure across the business. You will work with Snowflake, AWS, Python and SQL on large-scale financial and historical data, collaborating with Market Data, Quant and Risk teams to support analytics, VaR and stress ...

Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating … fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring an Associate ...

role requiring strong data engineering expertise, experience working with financial data, and the ability to operate within a fast-paced investment environment. Key Skills Snowflake Airflow DBT Bloomberg Integrations Responsibilities Design, build and maintain scalable data pipelines and workflows. Develop and enhance data solutions using Snowflake, Airflow and DBT. Support … processes. Drive best practices across data engineering, automation and platform support. Required Experience Experience within Investment Management, Asset Management or Financial Services Expertise with Snowflake, Airflow and DBT. Experience integrating Bloomberg data and services into enterprise platforms. Strong SQL and data modelling skills. Experience working with large-scale financial ...

financial institutions. You’ll join a small, high‐impact data team as we modernise our estate from Python/MySQL into a Databricks + Snowflake ecosystem built for scale, auditability and reliability. The Role Build & optimise pipelines in Databricks, PySpark, Python, Kafka Modernise legacy systems into a scalable, auditable cloud … PySpark, SQL Experience building auditable, reproducible pipelines Solid data modelling + warehouse fundamentals Clean code, CI/CD, testing, observability Cloud data platform experience (Snowflake/AWS ideal) Hybrid set-up in Central London – 3 days on-site 3 stage process Senior Data Engineer – (London, Hybrid 3 days onsite ...

Onboarding to Reporting. Key Responsibilities Design and deliver scalable applications, APIs, and data solutions. Develop cloud-native platforms on Microsoft Azure. Build and optimise Snowflake data models, pipelines, and integrations. Implement CI/CD, Infrastructure as Code, and automated testing. Drive engineering standards, security, performance, and operational stability. Mentor engineers … support technical decision-making across teams. Manage technical debt, platform upgrades, and vulnerability remediation. Technologies C#/.NET, Microsoft Azure Snowflake Data engineering and integration platforms CI/CD and DevOps Infrastructure as Code Automated testing Agile delivery Desirable Python, Node.js TypeScript, React, Next.js TDD/BDD AI-assisted development ...

trades. We are seeking a hands‐on Senior Developer to build and operate a highly scalable, AWS cloud‐based risk platform leveraging a Snowflake database containing trade data, reference data, and market data needed to produce the firm’s risk. The majority of development is done in Python. The ideal … performance, reliability, and cost. Primary Responsibilities Design, implement, and support scalable Python‐based risk engines leveraging position, reference, and market data stored in Snowflake databases. Optimize the risk generation process to deliver accurate risk results in the least possible time. Optimize distributed computation using strong data structures and algorithms. Reconcile ...

Terraform (automate detection deployment) essential YAML (configuration management for detections) Cloud & Data Platforms Azure security architecture (Entra ID, networking, identity) GCP security basics desirable Snowflake security fundamentals EDR platform experience (CrowdStrike, Microsoft Defender, or similar) Security & Compliance Knowledge of financial services threats (insider threats, data theft, credential abuse) Understanding … operator (self-directed in ambiguous environment) Datadog OR Sentinel experience (or very strong hands-on SIEM background) Open-source and modern tech stack comfortable Snowflake and/or data platform security exposure valuable TPBN1_UKTJ ...

market projectso Experience delivering data warehouse or data platform initiatives Data & Technology Awarenesso Solid understanding of modern data architectures, including cloud data warehouses (e.g. Snowflake)o Familiarity with data engineering concepts (ETL/ELT, pipelines, APIs, data modelling)o Ability to engage effectively with architects and engineers without needing … delivery-critical environment Nice to have Financial Services Domaino Experience in asset management, portfolio management systems, or financial data platformsNice to Have Experience delivering Snowflake-based platforms specifically Familiarity with data governance and regulatory requirements in financial services Experience with Murex, or similar platforms Relevant certifications (e.g., PRINCE2, PMP, Agile ...

before moving into design and delivery. The tech stack recommendation is still open, with Databricks and Microsoft Fabric the likely direction and ADF or Snowflake as outside options. Azure is confirmed. Responsibilities Own the target data architecture, from conceptual through logical to physical design Lead the tech stack recommendation … integrator or large corporate background with strong client facing skills Desirable Microsoft certification, for example DP-600, DP-700 or AZ-305 Databricks certification Snowflake exposure Regulated or legislation driven programme experience Platforms that have scaled rapidly from launch TOGAF or similar Please apply with an up to date ...

early stages of programme delivery, ensuring successful transition from solution design to implementation.* Collaborate with strategic partners including Microsoft, AWS, Google Cloud, Databricks, Snowflake, OpenAI, Anthropic, and Mistral AI to incorporate leading technologies into client solutions.* Drive the development of reusable reference architectures, accelerators, demos, and solution assets that strengthen … orchestration frameworks, and AI application architectures.* Knowledge of cloud platforms including Microsoft Azure, AWS, and Google Cloud.* Experience with modern data platforms including Databricks, Snowflake, vector databases, and lakehouse architectures.* Understanding of data governance, responsible AI, AI security, GDPR, and AI regulatory requirements.* Hands-on ability to create prototypes ...

/ELT equivalents Database & SQL: Expert-level SQL/T-SQL/PL-SQL, strong experience with Sybase, DB2, Oracle, or modern cloud warehouses (Snowflake, BigQuery) Scripting & OS: Unix/Linux Shell scripting, Python Scheduling & Messaging: Autosys, BMC Control-M, and experience with real-time event-streaming platforms like Apache … Kafka Data Modeling: Solid understanding of dimensional modeling, star/snowflake schemas, and data lineage mapping Desirable: Relevant experience in Financial Services and knowledge of the cleared derivatives lifecycle. Next steps Next steps This client will only accept workers operating via an Umbrella or PAYE engagement model. ...

lead. Headquartered in Boston, with 4,000+ Quantiphi professionals across the globe. As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we’ve been recognized with: 21x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award … wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group. We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting‐edge Generative ...

scoped requirements, so every model you build answers a question someone is actually asking Build and maintain robust data models and exposures in dbt, Snowflake and Looker - using AI-assisted development to spend less time on boilerplate and more on specifying intent, reviewing and refining Review and debug SQL critically … Solid SQL - You are comfortable reading, writing, debugging and critically reviewing queries, including AI-generated ones Modern data platforms - Familiarity with tools such as Snowflake, dbt, Looker, AWS or GCP, version control with Git and ideally some Python for data or analytics engineering tasks A meticulous eye for detail - Strong ...

deal pursuits.Drive AI bookings, revenue growth, pipeline generation, and sales conversion across assigned accounts.Collaborate with hyperscaler and ecosystem partners including Microsoft, Google, AWS, Databricks, Snowflake, OpenAI, and Anthropic to create joint growth opportunities.Act as a senior advisor to clients on AI strategy, operating models, workforce transformation, governance, and value realization.Support … Consumer Products, Manufacturing, Energy & Utilities, Public Sector, Telecommunications, and Life Sciences.Familiarity with hyperscaler and ecosystem partner offerings, including Microsoft Azure, AWS, Google Cloud, Databricks, Snowflake, OpenAI, Anthropic, and Mistral AI.Key CompetenciesExecutive stakeholder management and influencing skills.Strategic thinking and market development.Consultative and value-led selling.Commercial and financial acumen.Business case development ...

pipelines, integration and data quality to own the design and hold the build to account. You know how EPM sits alongside platforms like Snowflake, Palantir Foundry or Databricks as a governed data and AI foundation for finance. AI-augmented, intelligent finance. You own the design of the AI and machine … hands-on experience with one or more leading EPM platforms (Oracle EPM, OneStream or Anaplan); experience integrating EPM with modern data platforms — Snowflake, Palantir Foundry or Databricks — as a governed data and AI foundation for finance; a track record of data, analytics or AI-enabled finance solutions, including predictive forecasting ...

performance. Develop scalable reporting and dashboards that provide a consolidated view of Customer Marketing performance across Bloomreach, Power BI and other data sources, including Snowflake, Google Analytics and Content Square. Develop standardised reporting, dashboards and self‐service tools that enable Marketing Managers to access insight and monitor campaign performance. Continuously … segmentation, personalisation, loyalty and retention strategies. Knowledge of customer data models, CRM platforms and data governance principles. An understanding of platforms such as Bloomreach, Snowflake, Google Analytics and Content Square would be advantageous. Skills Strong commercial and analytical acumen with the ability to translate insight into strategies that drive customer ...

performance. Develop scalable reporting and dashboards that provide a consolidated view of Customer Marketing performance across Bloomreach, Power BI and other data sources, including Snowflake, Google Analytics and Content Square. Develop standardised reporting, dashboards and self-service tools that enable Marketing Managers to access insight and monitor campaign performance. Continuously … segmentation, personalisation, loyalty and retention strategies. Knowledge of customer data models, CRM platforms and data governance principles. An understanding of platforms such as Bloomreach, Snowflake, Google Analytics and Content Square would be advantageous. Skills Strong commercial and analytical acumen with the ability to translate insight into strategies that drive customer ...