Data Modeller – Azure Data & Analytics (Hybrid, London)

Sizewell C Company; Sizewell; Hybrid; GBP 60,000 - 65,000; Full time

Benefits offered by this job

Annual bonus

Pension plan

Hybrid working

28 days holiday

Job summary

Sizewell C is delivering clean energy through a new nuclear power station in the UK. The organisation seeks a skilled Data Modeller to design conceptual, logical and physical data models that support BI, analytics and operations across SZC domains.

You will collaborate with Integration and Engineering teams to capture source requirements and to implement data models across data warehouses and data lakes. The role involves maintaining data models, enforcing standards, and documenting metadata,

Qualifications

• Proven experience as a Data Modeller or in a similar role.
• Proficiency in SQL and understanding of relational and non-relational databases.
• Experience with data w

Responsibilities

• Design and develop conceptual, logical, and physical data models to support BI, analytics and operational systems.
• Collaborate with stakeholders to gather and analyse data requirements.
• Translate business requirements into data structures that are efficient, scalable and maintainable.
• Enforce data modelling standards, best practices and governance.
• Work with data engineers to implement models in data warehouses, data lakes and other storage systems.
• Maintain and update data models as business needs evolve.
• Ensure data integrity, quality and consistency across systems.
• Document data models, metadata and data dictionaries.
• Support data lineage and impact analysis efforts.

Skills

SQL

Data modelling

Stakeholder management

Azure data services

Data governance

Version control

Tools

ERwin

Azure Databricks

Azure Data Lake

Job description

Sizewell C is delivering clean energy through a new nuclear power station in the UK. The organisation seeks a skilled Data Modeller to design conceptual, logical and physical data models that support BI, analytics and operations across SZC domains.

You will collaborate with Integration and Engineering teams to capture source requirements and to implement data models across data warehouses and data lakes. The role involves maintaining data models, enforcing standards, and documenting metadata,