176 to 200 of 510 Snowflake Jobs in London

completed before we canproceedto an offer. Additional Preferred Qualifications Familiarity with modern data architectures, such as data lakes orlakehouseenvironments, and platforms including Databricks, Snowflake, or similar tools. Exposure toperformance analytics, benchmark analysis,backtesting, or investment research methodologies. Experience using AI-enabled tools or automation techniques to scale analytical workflows, improve ...

space for our people to grow the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake’s global data platform, we are shaping the future of financial services through innovation in both consulting and technology. Now a team of 120 globally … Senior Data Engineer , you will be developing our configuration-driven data platform in Databricks, enabling non-engineers to define regulatory logic, and our Snowflake data warehouse, ensuring scalability, auditability, and fitness for client-facing regulatory use cases. You’ll be writing clean, maintainable, and well-tested code that follows best ...

J.P. Morgan is seeking a Lead Engineer in Market Data Services to design, deliver, and maintain data distribution systems across on-prem and cloud. You will work in an Agile environment with cross-functional teams ...

directly with senior client stakeholders. The role will cover: • End-to-end data architecture across ingestion, processing, storage and analytics • Modern data platforms including Snowflake and Microsoft Fabric • Data engineering, ETL and scalable data pipelines • Conceptual, logical and physical data modelling • Cloud data architecture and integration with legacy platforms • Data … data platforms and pipelines • Cloud experience across AWS, Azure or GCP • Strong understanding of modern data architecture and modelling • Experience with platforms such as Snowflake or Microsoft Fabric • Experience with Power BI, Tableau, Looker or similar • Understanding of data governance and AI governance • Strong advisory and stakeholder management skills, including ...

applying best practices in data modelling and architecture Partner with client teams to translate business requirements into tailored data solutions Work hands-on across Snowflake, Databricks, AWS, Azure, or similar environments Contribute to internal initiatives focused on capability development, tooling, and process improvement Engage with stakeholders to influence technical direction … engineering experience, with at least 2 years hands-on across modern data platforms Strong SQL, data modelling, and query optimisation skills Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric Solid grounding in ETL/ELT pipelines and data warehousing principles Strong communication and problem-solving skills Comfortable working ...

critical business reporting and operational decision‐making. You will drive the development of data pipelines, models, and architecture across our modern data stack (AWS, Snowflake, dbt) ensuring performance, reliability, and scalability. Working closely with Architecture, Data Analytics, and Salesforce teams, you will drive the evolution of our data platform, guide … translate complex business needs into scalable, production‐grade data solutions. Key Responsibilities Design, build and optimise scalable data pipelines and data products across AWS, Snowflake and dbt, setting engineering standards and best practices. Lead the development of robust, testable dbt models and frameworks to ensure high data quality, consistency ...

rollback strategies Applying data warehousing principles across operational and analytical workloads Helping shape the future data platform as modern technologies such as Databricks and Snowflake are introduced Working closely with backend and frontend engineers to deliver end‐to‐end solutions Documenting architecture, data flows and key design decisions What … Kimball and Inmon Experience with Git, Jira and Agile development environments Desirable Experience Exposure to any of the following would be beneficial: Databricks or Snowflake AWS or other cloud environments Airflow or AWS Glue SSIS/SSRS Financial markets or financial data FinTech, SaaS, credit or data analytics environments Wider ...

tooling, such as AWS Cost Explorer, Azure Cost Management, GCP Billing, Apptio Cloudability or CloudHealth. Experience with cloud data platforms and warehouses, for example Snowflake, Databricks, BigQuery or Redshift. Exposure to modern data engineering tooling and practices, including dbt, Airflow, Git-based version control and CI/CD for data. … with APIs for data extraction and automation. Experience with SaaS cost and usage data. Experience designing and maintaining ETL and ELT pipelines. Experience with Snowflake or similar modern data platforms. Why Work Here? You will join a culture that values data-driven decision making, transparency and collaboration across business, technology ...

ability to explain complex data and architecture decisions clearly to technical and non-technical audiences. Nice to have, but not essential Experience with Snowflake or comparable platforms such as BigQuery, Redshift or Databricks. Experience with a specific governed semantic-layer platform such as dbt Semantic Layer, LookML, ThoughtSpot … governed, trustworthy data. The tools and ways of working Dimensional modelling, layered warehouse design, stated grain, slowly changing dimensions, entity resolution and data contracts. Snowflake preferred, or comparable cloud data warehouses such as BigQuery, Redshift or Databricks. dbt or an equivalent transformation and modelling framework. A governed semantic ...

Data Engineering Consultant, Data Specialist, Data Bricks, Snowflake, Data Analytics, Azure, Fabric, ML, Azure, Mainly Remote Data Consultant/Data Specialist required to join a fast growing Professional Services business based in the City of London. As this is an external client facing consulting role, you will be expected … Data Engineering and AI. Exposure to data platforms, programming languages and AI tools, such as Alteryx, Knime, Power BI, Microsoft Fabric, Tableau,Databricks, Snowflake, Microsoft Purview, Collibra, Informatica,Claude, Chat GPT,Microsoft Copilot,Python and SQL among others, to deliver practical and impactful analytics assurances and solutions. Experience of implementing ...

Data Engineering team in the UK. You will build and govern data infrastructure powering our platforms, using Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks to move data securely from source to decision-ready output. You will implement end-to-end ingestion sources, investigate and fix pipeline issues ...

data systems from ingestion to data products, focusing on reliable, scalable architectures. You'll work with SQL, Python, and cloud warehouses (BigQuery, Snowflake, Redshift) and orchestration tools (Airflow, Prefect, Dagster) while collaborating with analytics, data science, and product engineering to deliver impact across the organization. #J-18808-Ljbffr ...

will define end-to-end data architectures across ingestion, storage, transformation, and consumption layers, guiding engineering teams working with GCP BigQuery/BigLake, Snowflake, and dbt-based pipelines. You will establish data models, governance, security, and access controls while enabling scalable analytics and AI use cases. #J-18808-Ljbffr ...

workflows. You'll design data models, ship trustworthy SQL, and collaborate with senior engineers to raise our analytics depth. You'll work with dbt, Snowflake, Looker and modern data platforms, own data quality and observability, and enable self-service BI for the business. #J-18808-Ljbffr ...

/CD practices, collaborating with analysts to support reporting needs. You'll work at the intersection of data engineering and analytics, focus on Snowflake/Looker, dbt and SQL, and be based near London or Barcelona hubs with a hybrid schedule requiring in-office days. English resumes preferred. #J ...

communication skills A genuine passion for data and improving how organisations use it Experience developing or implementing data governance frameworks Experience with Azure and Snowflake would be highly beneficial Experience within the London Market, insurance or financial services is advantageous, although candidates from other regulated environments will also be considered ...

Services or another regulated industry. Strong understanding of data architecture, including data modelling, integration, governance, visualisation and migration. Experience with platforms such as Databricks, Snowflake or equivalent. Experience with an industry platform such as Guidewire, Sapiens, Duck Creek, FNZ, SS&C, Pershing, Salesforce or Microsoft Dynamics would be advantageous. Understanding ...

writing clean, well-tested code that's easy to support and extend. Build data pipelines and models using pandas and NumPy, working with Snowflake and Azure to store and serve data reliably and securely. Coordinate an offshore vendor team: setting priorities, assigning work, reviewing output, and tracking hours and spend. ...

work in a highly technical environment using Python and have the opportunity to contribute to high-performance architecture, cloud-based data platforms (AWS, Snowflake, Redshift), and streaming technologies (Kafka). Responsibilities Design and build scalable systems for risk analytics, stress testing, VaR, and multi-factor risk modeling across asset classes. ...

science. Experience with Microsoft SQL, additional programming knowledge beneficial (e.g., Python or R) or experience working with Alteryx. Some knowledge of data warehousing (e.g., Snowflake). Geospatial analytical experience (i.e., GIS software) is beneficial. Proficient in using Microsoft technology (e.g., Office 365 apps). Fundamental knowledge in (re)insurance industry. ...

resiliency, and security practices In‐depth knowledge of financial services IT systems, ideally wealth/advisory data Preferred Qualifications, Capabilities, and Skills: Experience with Snowflake or other enterprise data mesh/warehouse platforms Python for data and Lambda workloads alongside a primarily Java stack Exposure to React/TypeScript ...

explain complex analysis clearly and connect it to business action. Desirable Exposure to segmentation, propensity, churn, forecasting, lifetime value or personalisation. Experience with Snowflake, cloud data science environments or production machine learning. Familiarity with responsible AI principles and reproducible practice. Experience in a global, multi-brand or multi-market business. ...

Technical Mastery: Strong SQL proficiency and hands-on experience with dbt for data modeling are essential. Tooling: Expertise in cloud data warehouses such as Snowflake or Databricks. Proficiency in Python is preferred. Statistical Rigor: Strong understanding of statistical concepts, multivariate testing, and experimentation frameworks. Communication: Ability to present complex technical ...

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. Were an award-winning employer reflecting how our employees are at the very ...

GraphQL (Apollo Client) Fastlane SwiftUI (Apple Watch) Maestro E2E tests Backend: Serverless (AWS) Lambdas (NodeJS & Python) AWS AppSync DynamoDB, S3, SQS, SNS, EventBridge, SageMaker Snowflake All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect/Play Store Google Tag Manager Benefits Own a part ...