5 of 5 Star Schema Jobs in Central London

AI Data Engineer: NLP & LLM ETL in Snowflake/Azure

Location
City Of London, England, United Kingdom
varied 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 ...

Data Engineer (AI) - London

Location
City Of London, England, United Kingdom
varied 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 ...

Analytics Engineer

Hiring Organisation
Harnham
Location
City of London, London, United Kingdom
reporting and analytics. • Partner with stakeholders to understand requirements, validate assumptions and shape how data should be modelled. • Apply strong data modelling practices, including star schemas and Kimball methodologies. • Support the management of the lakehouse, including incremental loads, snapshotting and data quality. • Contribute to the relationship with Databricks ...

Senior Data Architect

Hiring Organisation
Harnham
Location
City of London, London, United Kingdom
architecture across the organisation. Your Skills & Experience You will have strong commercial experience in: Data Architecture and Data Modelling in enterprise environments. Dimensional modelling, star schemas, facts and dimensions, and Kimball methodologies. Designing semantic or curated data layers within modern cloud platforms. Medallion Architecture and Azure Data Lakehouse environments. ...

Solutions Architect, Digital Platforms, Google Cloud

Location
City of Westminster, England, United Kingdom
data residency, encryption at rest/transit (CMEK), and explainable AI requirements in banking. Strong understanding of relational, NoSQL, and analytical data modeling (e.g., Star Schema, Data Vault, etc.). Ability to independently drive the discovery phase, moving from a vague business problem to a structured ...