376 to 400 of 955 Snowflake Jobs in the UK

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 ...

Senior Data Engineer to join our fast-growing team. You will design, build, and maintain scalable data pipelines using SQL and Python, leveraging Databricks, Snowflake, and cloud services. You will lead data integration efforts, implement CI/CD for pipelines, mentor engineers, and ensure governance and security while collaborating with ...

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 ...

Data Warehouse & Analytics solution 2. ER Studio 3. Cloud experience preferred 4. Strong Data Modeling Experience in Banking Domain**5.**Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka. • Work in an Agile environment and participation in scrum daily standups, sprint planning reviews and retrospectives. • Understand project requirements ...

patterns and guardrails that engineering teams will actually build against. What were 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 ...

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. ...

Activation, Martech, CRM, or Customer Data Platform initiatives. Strong experience with enterpriseMartech platforms such as: Segment (or similar CDP) Braze (or equivalent engagement platform) Snowflake Experience building and leading multidisciplinary data teams. Strong understanding of customer data architecture, data models, and activation pipelines. Experience influencing senior stakeholders across product, marketing ...

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. ...

Agile/Scrum practices, including facilitating ceremonies (standups, planning, refinement, reviews, retrospectives), backlog hygiene, and flow-based execution (Scrum). Working knowledge of Snowflake data warehousing. #J-18808-Ljbffr ...

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. ...

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 ...

cloud integrations. Basic proficiency in SQL queries. Exposure to or an interest in integrating with cloud-based data warehouses/data lakes, such as Snowflake, Databricks, or equivalent. An interest in Salesforce Agentforce capabilities, including building and deploying AI-driven agents. An understanding of Generative AI workflow design within ...

real‐world research. This role requires strong hands‐on SQL Server and SSIS experience. It is not a cloud‐platform or Spark/Snowflake data engineering role. The position is script‐heavy and database‐centric, involving significant T‐SQL development, ETL scripting, SSIS package maintenance, and large‐scale data processing ...