3 of 3 Remote/Hybrid Snowflake Schema Jobs in London

Data Architect

Hiring Organisation
Jobleads-UK
Location
Greater London, England, United Kingdom
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 ...

Junior Data Engineer

Hiring Organisation
TechNET IT Recruitment Ltd
Location
London Area, United Kingdom
deployments on Kubernetes platforms. You will assist with data modelling and data warehouse structures, including logical and physical data models and star/snowflake schema concepts. A key part of the role will be supporting data validation, reconciliation and monitoring to ensure data assets are accurate, reliable ...

Data Business Analyst (Warehouse & Modelling) - 6 month contract - London/hybrid - Outside IR35

Hiring Organisation
Jobleads-UK
Location
Greater London, England, United Kingdom
data models. Collaborate with data architects and data engineers to design and enhance dimensional data models, including fact and dimension tables using star and snowflake schemas. Produce and maintain data warehouse documentation, including entity relationship diagrams (ERDs), data dictionaries, business glossaries, and metadata. Analyse source systems to understand data … data standards, and reporting requirements to ensure consistent use of enterprise data. Essential Strong understanding of data warehousing principles, including dimensional modelling, star and snowflake schemas, normalisation and denormalisation. Extensive experience in data modelling using industry‐standard modelling tools. Strong SQL skills for data analysis, profiling, reconciliation, and validation. ...