Senior Data Modeller: Star/Snowflake Schemas & Governance

eTeam

Greater London

Hybrid

GBP 77,000 - 85,000

Full time

17 hours ago
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Job summary

eTeam is seeking a Data Architect in London with 8+ years of experience to design and implement data models and schemas. The role requires on-site collaboration with architects, engineers, and analysts to deliver robust data solutions and governance.

Hybrid working 2–3 days on-site weekly. The ideal candidate will have strong SQL/RDBMS knowledge, experience with data warehousing, ETL/ELT, and familiarity with cloud platforms (Azure/AWS/GCP).

Qualifications

  • Strong expertise in data modelling techniques (3NF, dimensional modelling).
  • Proficiency in SQL & RDBMS (SQL Server, Oracle, PostgreSQL, etc.).
  • Experience with data modelling tools (ERwin, ER/Studio).
  • Knowledge of data warehousing and ETL processes.
  • Familiarity with cloud platforms (Azure/AWS/GCP) is a plus.
  • Strong analytical and problem-solving skills.
  • Good stakeholder communication.
  • Attention to detail and data accuracy.

Responsibilities

  • Design conceptual, logical, and physical data models
  • Build optimized relational and dimensional (star/snowflake) schemas
  • Translate business requirements into efficient data structures
  • Ensure data quality, integrity, and governance standards
  • Collaborate with architects, engineers, and analysts on data solutions
  • Support ETL/ELT design and data integration
  • Maintain data documentation, metadata, and data dictionaries

Skills

Data modelling
SQL & RDBMS
Strong analytical skills
Attention to detail
Stakeholder communication

Tools

ERwin/ER/Studio
ETL/ELT tools

Job description

eTeam is seeking a Data Architect in London with 8+ years of experience to design and implement data models and schemas. The role requires on-site collaboration with architects, engineers, and analysts to deliver robust data solutions and governance.

Hybrid working 2–3 days on-site weekly. The ideal candidate will have strong SQL/RDBMS knowledge, experience with data warehousing, ETL/ELT, and familiarity with cloud platforms (Azure/AWS/GCP).

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