23 of 23 Remote/Hybrid Snowflake Schema Jobs in London

proficiency in SQL and Python Strong experience with AWS (Batch, Lambda, Glue, ECR, RDS, Redshift, S3) Experience in data warehousing, database design (e.g., star schema, snowflake schema), and data modelling. Excellent problem-solving skills and the ability to work independently and as part of a team Experience ...

data such as unstructured content from web-based sites and varying content (documents, images etc) into different data lakes and with different software solutions (Snowflake, Azure, SQL, Python); Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load … unstructured content into structured meta-data; Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs; Solid ETL development, reporting knowledge based off intricate understanding of business process and measures; Knowledge of Snowflake ...

such as SOLID principals, structuring code, testing, IOC, etc. Strong repositories, CI/CD skills. Strong knowledge of Kimball data modelling, such as star schema, snowflake, etc. Strong SQL skills. Strong data analysis skills. Excellent written and verbal communication skills A demonstrable track record of getting stuff done ...

architecturesEnsure efficient data ingestion, transformation, and storageDevelop reusable frameworks and standards for data engineering best practiceData Modelling & WarehousingDesign data models (dimensional, normalized, star/snowflake schemas)Collaborate with analytics teams to support BI and reporting requirementsOptimize data structures for performance and scalabilityCloud & Platform EngineeringBuild and maintain data solutions ...

consume, and depend on high-quality, well-governed data at scale. The Data Architect will own the end-to-end data architecture across spanning Snowflake as the enterprise data warehouse and a landscape of in-house application databases (relational, time-series, document, and in-memory stores) that serve real … data requirements into durable, governed, and scalable data solutions. Key Responsibilities Data Architecture & Strategy Define and own the data architecture target state, covering the Snowflake enterprise data warehouse, application databases, and the data flows that connect them Establish a unified data modelling standard across relational (PostgreSQL, Oracle), in‐memory ...

they need, without bespoke workarounds. Strong working relationships with the Data, ML, and Platform teams. What You’ll Bring With You Deep, hands-on Snowflake and dbt experience: modelling, semantic layers, agents & skills, testing, performance and cost tuning. Production experience with a pipeline orchestrator, ideally Dagster (or similar Airflow ...

high-performing team on a long-term basis. Skills/experience Strong hands-on/commercial coding experience in Python Solid experience with Snowflake (data modelling, performance tuning, pipeline integration) Hands-on experience with Azure cloud services Strong experience with SQL Strong experience building and maintaining ETL/ ...

data mesh principles). Strong knowledge of one or more leading cloud data stacks (e.g. GCP BigQuery, AWS Redshift/Glue, Azure Synapse, Databricks, Snowflake). Experience designing data models for analytics and AI, and working with structured and unstructured data. Familiarity with data governance, security, privacy and compliance ...

agile scrum team to design and build data feeds and related applications Writing, testing and peer review of ETL code in Oracle ODI, dbt, Snowflake and AWS. Working with business users to design and configure self-serve data environments within our data warehouse and data lake Analysing, developing, delivering … these. Experience of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI or dbt Significant database experience in Snowflake and/or Oracle Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience ...

models and transformation pipelines that convert raw rights, royalty and catalogue data into clean, analysis-ready tables in AWS and Snowflake. Provide input on schema design for reporting layers, applying database normalisation principles, primary/foreign key relationships and referential integrity across datasets. Build and maintain ETL/… pipelines that move data from source systems and royalty statement feeds into Snowflake, via AWS S3 and Athena. Write and troubleshoot SQL and Python-based transformations to process royalty and usage datasets, developing a growing focus on performance and efficiency over time. Build, maintain and iterate on dashboards ...

what the data is telling them and how they can use it. Data Engineering & Infrastructure Develop and maintain data pipelines using Matillion. Work with Snowflake to structure, transform and manage analytical data. Improve the quality, consistency and accessibility of data within the existing data environment. Develop appropriate data models … Work hands-on with a substantial and constantly growing dataset. Develop sophisticated analytics across video, content, customers and commercial performance. Work across Matillion, Snowflake, Tableau, R and Python. Develop data science and machine learning solutions with real commercial impact. Work closely with teams across the business and see your ...

part of a growing Data Engineering function, working on critical data infrastructure across the business. Youll build and enhance modern data solutions using Snowflake, AWS, Python and SQL , working with large-scale financial and historical data. The role sits closely with Market Data, Quant and Risk teams, with your … testing. Key Responsibilities Build and enhance scalable data pipelines and infrastructure Develop Python ETL/ELT pipelines and complex SQL models Design and optimise Snowflake data solutions Integrate and manage large-scale financial and historical data Identify and resolve data quality and data integrity issues Work closely with Data ...

part of a growing Data Engineering function, working on critical data infrastructure across the business. You'll build and enhance modern data solutions using Snowflake, AWS, Python and SQL, working with large-scale financial and historical data. The role sits closely with Market Data, Quant and Risk teams, with … stress testing. Key ResponsibilitiesBuild and enhance scalable data pipelines and infrastructureDevelop Python ETL/ELT pipelines and complex SQL modelsDesign and optimise Snowflake data solutionsIntegrate and manage large-scale financial and historical dataIdentify and resolve data quality and data integrity issuesWork closely with Data, Quant, Market Data and Risk ...

Director of Security Data Analytics, you will design and operate the data engineering foundations our analytics depend on: ingestion and transformation pipelines, Snowflake data models, automation, and the enrichment and AI-ready data patterns that turn raw security signals into trusted, analytics-ready data. Presentation-layer engineers own most … build, and optimize data ingestion, transformation, and enrichment pipelines that turn security, technology, and business data into trusted, analytics-ready data. Build and maintain Snowflake data models and warehouse objects that support reporting, visualization, automation, and AI-enabled use cases. Develop automation that reduces manual data handling and reporting ...

vendor sells. Your toolkit spans Python and SQL, LLMs and agent frameworks, MCP, Azure AI Foundry through the AI Team’s model gateway, Snowflake and Microsoft Fabric, and Azure with Terraform, Docker, and CI/CD. AI Engineering is being established for the first time here, so you will … frameworks, and patterns before recommending we adopt them. Make enterprise data AI‐ready Build governed, AI‐ready views, indexes, semantic context, and connectors over Snowflake, enterprise platforms, APIs, and external providers. Extend Accio so new datasets and downstream MCP servers are reachable through one governed interface rather than ...

analytics get built. You will take approved metric definitions and business questions and turn them into the models and metric logic in Snowflake anddbt, the dashboards, and the semantic layer and data products people use every day. You will own the analytics engineering for key areas of the business … lldo Own the analytics engineering for assigned business domains, translating metric definition through data model, dashboard, and insight. Design, build, andmaintaindocumented, production-qualitydbtmodels in Snowflake that turn approved metric definitions into reliable, reusable models and semantic definitions, and power reporting, self-serve, automation, and AI. Identifyand resolve technical inconsistencies ...

Future Health. As a Staff Analytics Platform Engineer, you’ll provide technical leadership across the entire analytics platform, from ingestion and transformation tooling to Snowflake architecture, semantic modelling, and secure analytics environments. You’ll define the patterns, standards, and infrastructure that enable analysts, data scientists, and product teams … keen to speak with you. What you’ll be doing Co‐owning the analytics platform architecture, designing end‐to‐end solutions across Snowflake, ingestion pipelines, dbt infrastructure, semantic layers, and secure analytics environments. Defining and driving the long‐term technical vision for the analytics platform, ensuring it is scalable ...

value signal generation. Your toolkit spans Python and SQL, LLMs and agent frameworks, MCP, Azure AI Foundry through the AI Team’s model gateway, Snowflake, and Azure with Terraform, Docker, and CI/CD. What success looks like You ship. What you build reaches production, is used … particularly the investment process, front office workflows, or fixed income. Quantitative investment concepts such as fair value, relative value, signal generation, or portfolio construction. Snowflake, Microsoft Fabric/OneLake, or comparable enterprise data platforms. Azure AI Foundry, model gateways, inference routing, or AI evaluation and observability in production. TypeScript ...

value signal generation. Your toolkit spans Python and SQL, LLMs and agent frameworks, MCP, Azure AI Foundry through the AI Team's model gateway, Snowflake, and Azure with Terraform, Docker, and CI/CD.What success looks likeYou ship. What you build reaches production, is used by the business unit … particularly the investment process, front office workflows, or fixed income. Quantitative investment concepts such as fair value, relative value, signal generation, or portfolio construction. Snowflake, Microsoft Fabric/OneLake, or comparable enterprise data platforms. Azure AI Foundry, model gateways, inference routing, or AI evaluation and observability in production. TypeScript ...

Fractal is recruiting a Snowflake Data Engineer for a 3-month fixed-term contract in London with a hybrid onsite pattern (2 days per week in the office). The role focuses on building data models and pipelines in Snowflake, including Snowflake ML, and collaborating with Data … Scientists to migrate and validate PySpark-based use cases during the September–December window. Ideal candidates will bring Snowflake expertise, PySpark experience, and DBT knowledge. #J-18808-Ljbffr ...

they can move from experimentation into production.Founded in 2015, Immuta is trusted by Fortune 500 companies and government agencies worldwide.Our technology ecosystem includes Snowflake, Databricks, AWS, Microsoft Azure, Google Cloud, Okta, ServiceNow, Teradata, Alation, Atlan, and Starburst — connecting Immuta to the data, cloud, identity, and enterprise platforms powering modern … best workplaces, and by Fast Company as one of the world’s most innovative companies.Immuta has raised $263 million from investors including NightDragon, Snowflake, Databricks, ServiceNow, Citi Ventures, Dell Technologies Capital, DFJ Growth, IAG, Intel Capital, March Capital, Okta Ventures, StepStone, Ten Eleven Ventures, and Wipro Ventures.We operate ...

looking for an experienced Data Transformation Product Manager to help deliver the next phase of the journey. You’ll join a live Snowflake data warehouse transformation , helping bring new data domains into the platform and ensuring the investment delivers real business value. The Data Product Manager role sits between … looking for someone with experience across: Data Product Management & Data Transformation Enterprise data platforms/data warehouse modernisation Data modelling and governance Snowflake or similar modern data environments Working closely with Data Engineering and Architecture teams A technical data background (Data Engineering, Analytics Engineering or similar) would be highly ...

ship an AI product, how ready are they for Fin. Making the data usable. Landing everything in well-modelled, well-tested dbt models in Snowflake orchestrated in Airflow, and syncing it out to Salesforce, Marketo, Clay and the rest of the GTM stack. Owning quality and trust. Instrumenting your … reps, and motivated by commercial outcomes rather than only technical ones. Experience with the modern data stack: dbt, a cloud warehouse (we use Snowflake), and a DAG orchestrator (we use Airflow).Experience building with LLMs in production: prompt design and evaluation, tool/function calling, web search and crawling ...