13 of 13 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 ...

quality datasets Knowledge of data quality improvement, reconciliation and master data challenges Experience building analytical, forecasting or machine learning models Exposure to Snowflake would be highly beneficial Experience developing reporting and dashboards in Power BI Strong stakeholder engagement and communication skills STEM degree or other highly quantitative academic background ...

including: OneLake Lakehouse Data Warehouse Data Factory Real-Time Intelligence Semantic Models Governance Experience working with modern cloud data platforms such as: Azure Databricks Snowflake Strong data modelling expertise Deep understanding of modern data architecture principles and patterns Experience delivering data platforms across the full lifecycle from ingestion through ...

including: OneLake Lakehouse Data Warehouse Data Factory Real-Time Intelligence Semantic Models Governance Experience working with modern cloud data platforms such as: Azure Databricks Snowflake Strong data modelling expertise Deep understanding of modern data architecture principles and patterns Experience delivering data platforms across the full lifecycle from ingestion through ...

gold layers), organising data by quality and purpose to keep the platform scalable and maintainable. Design and apply dimensional models (e.g. star and snowflake schemas) and apply other major approaches such as ODS and Data Vault modelling where they suit the client’s needs. Create and maintain conceptual, logical … driven data ingestion frameworks on Databricks (e.g. Auto Loader, Lakeflow Declarative Pipelines, Workflows), using configuration rather than bespoke code to onboard new sources, handle schema change and apply consistent patterns for loading, logging and data quality checks. Define how data flows from source systems (e.g. policy administration, claims, finance ...

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/ ...

using dbt and Snowflake. Design reusable data models that support consistent, trusted reporting and analysis. Improve the performance, security and cost efficiency of the Snowflake data warehouse. Develop automated data quality tests, monitoring and alerting. Collaborate with stakeholders across Product, Marketing, BI, Engineering and Data Science to deliver data … Experience Strong SQL skills, including experience writing and optimising complex queries. Commercial experience using dbt to build and maintain data transformation pipelines. Experience with Snowflake or another modern cloud data warehouse, such as BigQuery. Experience building data models for analytics and reporting. Familiarity with Python for automation, data manipulation ...

enable better decision-making and embed a data-led culture across the organisation. You will also help the organisation adopt new tools, such as Snowflake, dbt, PLAIO, Extedo and AI, and show that they deliver value. You will be responsible for analytics strategy, reporting, data platforms and integrations, master … Board Standardise KPI definitions and methodology, and challenge KPIs that no one will act on Data Platform & Pipelines Run and improve the Snowflake and dbt pipelines that feed reporting Make pipelines resilient to poor-quality inputs, such as emailed data Document the platform and reduce dependence ...

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 ...

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 ...