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Senior Data Modelling Consultant

UK - London

Pay
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Work setup
Hybrid stated — work setup source
Senior Data Modelling Consultant Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Transform data structure. Model business value. Build data-driven futures.
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Employment
Unconfirmed
Apply at Capco

What you’ll work on

Full posting
  • Design and deliver conceptual, logical, and physical data models for complex data programmes

  • Deliver high-impact technology solutions for Tier 1 financial institutions

  • Support data governance activities including standards enforcement and review forums

From the employer’s posting
Conduct business analysis to define data requirements and support metadata management Design and deliver conceptual, logical, and physical data models for complex data programmes Identify data entities and relationships and map source-to-target transformations
Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture
Identify data entities and relationships and map source-to-target transformations Support data governance activities including standards enforcement and review forums Use modelling tools (e.g. Sparx, Erwin, Power Designer) to develop, curate and refine models)

Tools in this posting

  • Python
  • SQL
Source — Tool mentions in context
- Experience working with ontologies and knowledge of RDF/OWL/TTL - Exposure to Python or SQL scripting in support of data model design - Knowledge of data governance and enterprise metadata integration strategies

Job description

View original posting ↗

Senior Data Modelling Consultant

Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent

Transform data structure. Model business value. Build data-driven futures.

The Role
Capco is hiring a Senior Data Modelling Consultant to help shape and implement enterprise-grade data models for top-tier financial services clients. In this role, you'll use your analytical mindset and modelling expertise to drive business understanding, support large-scale data migrations, and deliver best-practice modelling solutions aligned to industry standards.

What You’ll Do

  • Conduct business analysis to define data requirements and support metadata management

  • Design and deliver conceptual, logical, and physical data models for complex data programmes

  • Identify data entities and relationships and map source-to-target transformations

  • Support data governance activities including standards enforcement and review forums

  • Use modelling tools (e.g. Sparx, Erwin, Power Designer) to develop, curate and refine models)

What We’re Looking For

  • Proven experience in financial services data modelling within data migration or architecture programmes

  • Strong grasp of data modelling layers and standards (conceptual, logical, physical)

  • Familiarity with financial reference models such as fpML, FIX, or FIBO

  • Skilled in data model documentation, stakeholder engagement, and metadata practices

  • Understanding of RDBMS, UML, JSON/XML schemas, and project lifecycles (Agile preferred)

Bonus Points For

  • Hands-on experience with data modelling tools such as Erwin, Sparx, Visual Paradigm

  • Experience working with ontologies and knowledge of RDF/OWL/TTL

  • Exposure to Python or SQL scripting in support of data model design

  • Knowledge of data governance and enterprise metadata integration strategies

  • Background in working on regulatory or compliance-related data transformation initiatives

Why Join Capco

  • Deliver high-impact technology solutions for Tier 1 financial institutions

  • Work in a collaborative, flat, and entrepreneurial consulting culture

  • Access continuous learning, training, and industry certifications

  • Be part of a team shaping the future of digital financial services

  • Help shape the future of digital transformation across FS & Energy.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick workshops, certifications, e-learning-your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
Healthcare Access: Convenient online GP services.
Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

#LI-DNI

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Location & working pattern

UK - London

Senior Data Modelling Consultant Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Transform data structure. Model business value. Build data-driven futures.
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Status in our records
Active
First seen by us
Mar 21, 2026
Recorded sightings
344
Last seen by us
Oct 13, 2026

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