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Senior Data Modeller
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-07-21
Listing for:
EXL
Full Time
position Listed on 2026-07-21
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Data Analyst
Job Description & How to Apply Below
Job Description
As a Senior Data Modeller
, you will play a key role in designing, developing and maintaining enterprise data models that enable analytics, reporting, AI, machine learning and business intelligence initiatives. You will translate complex business requirements into scalable, high-quality data solutions, ensuring data is structured, governed and optimised for performance across the organisation.
London, United Kingdom (Hybrid working)
Employment TypePermanent
Responsibilities- Translate business requirements into scalable data models that support long-term business and technology objectives.
- Design, develop and maintain conceptual, logical and physical data models using industry best practices to ensure data quality, consistency and minimal redundancy.
- Partner with application development, architecture and business teams to define data strategies, data flows and source-to-target mappings.
- Develop and maintain metadata, data dictionaries and documentation to support enterprise data governance.
- Optimise and enhance existing data models to support new business initiatives and improve performance.
- Define and promote data modelling standards, naming conventions and best practices across projects.
- Identify opportunities to reuse existing data models and data assets to improve efficiency and consistency.
- Perform reverse engineering of existing databases and SQL scripts to produce accurate data models and documentation.
- Assess logical and physical data models for quality, integrity, performance and alignment with business requirements.
- Validate business data entities and ensure data models accurately reflect business processes and information requirements.
- Analyse data integration challenges and recommend scalable, efficient solutions across multiple systems.
- Provide technical guidance to Business Analysts, Developers, Engineers and Solution Architects on data modelling, database design and integration approaches.
- Review application and database designs, recommending improvements to enhance scalability, maintainability and performance.
- Contribute to the development and implementation of enterprise data architecture, including data movement strategies, technology direction and governance frameworks.
- Ensure all data architecture deliverables comply with enterprise standards, policies and best practices.
- Collaborate closely with project managers, business stakeholders, technical teams and clients to provide expert guidance on all aspects of data architecture, modelling and data management throughout the project lifecycle.
- 7-10 Years industry implementation experience with one or more data modelling tools such as Erwin, ERStudio, Power Designer etc.
- Minimum of 8 years of data architecture, data modelling or similar experience
- 5-7 years of management experience required
- 5-7 years consulting experience preferred
- Experience working with dimensionally modelled data
- Bachelor’s degree or equivalent experience, Master’s Degree Preferred
- Understanding of cloud (Azure, AWS, GCP, Snowflake preferred) and on premises architectures
- Experience in data analysis and profiling
- Strong data warehousing and OLTP systems from an integration perspective
- Strong understanding of data integration best practices and concepts
- Strong SQL skills required scripting preferred
- Strong Knowledge of all phases of the system development life cycle
- Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.)
- Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.)
- Understanding of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data.
- Extensive experience in enterprise data modelling, including conceptual, logical and physical data models.
- Strong understanding of data architecture principles, data governance and enterprise data management best practices.
- Experience translating business requirements into scalable data models and technical design documentation.
- Proven experience analysing business processes and designing data…
Position Requirements
10+ Years
work experience
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