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Data Modeller (SQL)

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This role is for a Data Modeller (SQL) in London, offering £375-£400 per day for 6 months (extendable). Requires 10+ years in data modeling, expertise in SQL, banking data knowledge, and familiarity with cloud platforms. Certifications are a plus.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
400
🗓️ - Date discovered
March 29, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
Outside IR35
🔒 - Security clearance
Unknown
📍 - Location detailed
London Area, United Kingdom
🧠 - Skills detailed
#Synapse #Metadata #Data Governance #Data Integration #Consul #BigQuery #Vault #Consulting #SQL (Structured Query Language) #ERWin #Snowflake #Data Modeling #Data Warehouse #Data Engineering #Databases #Data Lineage #Redshift #Data Vault #Compliance #Indexing #AWS (Amazon Web Services) #Data Management #"ETL (Extract #Transform #Load)" #Database Architecture #Azure #Normalization #Cloud
Role description
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Job Title-Data Modeller (SQL)

Client-Global Consulting Firm

Day Rate-£375-£400 (Outside IR35)

Duration-6 months (extendable)

Location-London (Hybrid, 2 days in the office)

Experience and Skills:

·        10+ years of hands-on experience in data modeling, database architecture, or data engineering.

·        Expertise in SQL, including query optimization, indexing, partitioning, and stored procedures.

·        Deep understanding of relational and dimensional data modeling (normalization, denormalization, star/snowflake schema).

·        Proficiency with data modeling tools such as Erwin, ER/Studio, or equivalent.

·        Strong knowledge of banking and financial data structures, regulatory frameworks, and reporting standards.

·        Experience in data governance, metadata management, and data lineage tracking.

·        Familiarity with cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake).

·        Experience with ETL/ELT design, data integration, and data warehousing best practices.

·        Experience with risk and compliance data models (Basel III, IFRS 9/17, AML, BCBS 239).

·        Knowledge of Data Vault modeling and modern data warehouse/lakehouse architectures.

. Certifications in data modeling, cloud databases, or data governance (CDMP, AWS/Azure certifications) are a plus.