301 to 325 of 811 Snowflake Jobs in England

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 ...

data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security, and appropriate data … Data Engineer within complex technical environments. Strong knowledge of data management principles, including data modelling, integration, quality, and governance. Strong commercial experience with Snowflake and Databricks essential. Experience assessing existing data management systems and recommending improvements. Experience with modern data architectures, including cloud-based and distributed systems. Strong proficiency ...

builds and maintains: Streaming and batch data platforms that unlock data across Tripadvisor ETL pipelines and data models serving terabytes and growing datasets in Snowflake, BigQuery, and Hive, Orchestration, scheduling, and ETL generation tools to support cloud migrations and petabyte-scale operations, Tracking instrumentation, information architecture, and data governance tooling … Data Engineering & Data Products, ETLs Design, build, and maintain robust ETL/ELT data pipelines that process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms. Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. ...

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 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 ...

design and deliver cloud-based data, analytics, and AI/ML platforms. You will define scalable data architectures and guide engineering teams across GCP, Snowflake, and dbt-based ecosystems in a regulated enterprise environment. You will work with data engineers and platform teams to ensure data governance, security, and scalable ...

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 ...

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 ...

guardrails that engineering teams will actually build against. What we’re looking for: • Strong practical Data Architecture experience • Modern cloud data platform architecture • Snowflake and Oracle, or comparable OLAP and OLTP technologies • Advanced SQL and strong ELT and data transformation knowledge • Data warehouse and lakehouse architecture • Batch, event driven ...

Profile 6–8+ years in Data Analytics, Data Science, or similar Advanced SQL and strong data modelling experience Experience with modern data warehouses (e.g. Snowflake, BigQuery, Redshift, Postgres) Experience working with cross-functional stakeholders Strong communication skills with ability to translate data into business insights Desirable Fintech or financial services ...

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 ...

actually be delivered * Lead and guide engineering teams through implementation * Shape longer-term data architecture and platform strategy **The environment** AWS, Azure, GCP · Databricks, Snowflake · Lake, Lakehouse and modern warehouse architectures · Distributed processing · DevOps, IaC and secure deployment · Governance, access control and analytics **What we're looking for** * Active ...

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. ...

existing SQL-based on-premise data warehouse which needs to evolve towards a modern cloud data platform, with technologies such as Microsoft Fabric and Snowflake being considered. You’ll need strong experience designing and delivering integrations, working with ETL/ELT pipelines. APIs and data platforms. Azure experience is particularly ...

monitoring tools such as AppD, Splunk, Grafana, Cloudprober, Moogsoft Knowledge of any scripting language such as PowerShell or VBScript Experience of using Azure and Snowflake technology Knowledge of multi-tier application architecture Experience of web technologies and internet based applications Experience of working with Production and Non-production environments Experience ...

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. ...