Technical Data Modeller – Hybrid (Enterprise Data & AI)

Nixor Resource Consulting Ltd

Manchester

Hybride

GBP 75 000 - 88 000

Plein temps

Il y a 8 jours

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Avantages offerts par ce poste

Hybrid work – 50% office / 50% home
Bonus 12%
Pension 21%

Résumé du poste

Nixor Resource Consulting Ltd is seeking a Technical Data Analyst to join a new Group Data & AI Office in the Greater Manchester area. You will shape the Enterprise Data Model from raw data and business requirements, working on the left-hand side of the data lifecycle with SQL, Python and modeling techniques.

The role emphasizes data structure, mappings and definitions rather than BI or dashboards. Hybrid working, with a salary of £75,000–£88,000 plus bonus and a strong pension contribution,

Qualifications

  • Experience with data modelling concepts and data lifecycle

Responsabilités

  • Analyse and profile data using SQL and Python
  • Collaborate with business stakeholders to understand data requirements
  • Create conceptual, logical and physical data models
  • Identify entities, attributes, relationships and business definitions
  • Produce source-to-target mappings and data mappings documentation
  • Support metadata, lineage, data dictionaries and modelling standards
  • Work with Data Engineers and hand over models for implementation
  • Shape trusted, reusable data within a Databricks/Medallion environment

Connaissances

SQL
Python
Data modelling
Stakeholder management
Data profiling

Outils

ERwin
ER/Studio
Sparx
Databricks

Description du poste

Nixor Resource Consulting Ltd is seeking a Technical Data Analyst to join a new Group Data & AI Office in the Greater Manchester area. You will shape the Enterprise Data Model from raw data and business requirements, working on the left-hand side of the data lifecycle with SQL, Python and modeling techniques.

The role emphasizes data structure, mappings and definitions rather than BI or dashboards. Hybrid working, with a salary of £75,000–£88,000 plus bonus and a strong pension contribution,

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