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Capco

Data Modelling Consultant (Insurance)

Brno, Czechia

Location
Brno, Czechia
Work
Not stated
Employment
Not stated
Level
Not stated
Function
Data & AI
Pay
Not stated
Posted
2 months ago

About the role

Shape the Future of Financial Services with Capco

At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology.

Want to learn more about our culture and people? Visit us: Capco Careers Slovakia

Why Join Us?

  • Prestigious Clients & Exciting Projects – Work with top-tier banks on transformation projects that redefine financial services.
  • Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform.
  • Flexible Work Environment – we provide flexibility to work remotely from the home office within Czech Republic
  • Attractive Benefits Package: ✅ Paid sick days ✅ 25 vacation days (regardless of age) ✅ Monthly cafeteria allowance (1.285 CZK/month) or contribution to the 3rd pillar ✅ Fully paid meal vouchers ✅ Multisport card with employer contribution ✅ Smartphone with 1TB data + Laptop
  • Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days.
  • Competitive Compensation (adjusted based on experience) + annual bonus & benefits package.
  • Long-term career – Indefinite period contract with opportunities for career growth.

Role Description

  • Be part of the Data Team, designing data solutions for insurers and reinsurers
  • Design data models and data transformations as part of the redesign and migration of insurance business solutions
  • Develop data solutions such as data hubs, data lakes, reporting platforms, and data warehouses
  • Analyze business requirements and derive solution approaches and concepts for data solutions
  • Assume subject-matter and project responsibility for our clients
  • Serve as the primary point of contact for our clients
  • Lead both our internal teams and our clients’ teams

Skills and Expertise

  • 5+ years of experience in designing and developing data solutions
  • Expertise in data engineering and/or data analytics
  • Knowledge of and experience with one or more standard data tools
  • Basic insurance knowledge in policy administration and claims across one or more lines of business
  • Knowledge of typical insurance data models and data flows
  • Experience in data modeling and developing solutions using DevOps and Agile methodologies
  • Experience analyzing requirements from business departments and stakeholders
  • Experience managing projects or subprojects, combined with strong stakeholder communication skills
  • A degree in computer science or a comparable qualification
  • Ability to work independently and take ownership as a consultant
  • Languages: German and English

Your Hiring Journey

✅ Screening Call – Introductory chat with our recruiter

✅ Technical Interviews (1-2 rounds, depending on the project) – Discuss your skills with our experienced Capco colleagues

✅ Feedback & Offer – Receive an offer to join our team!

Why Capco? Because You Matter.

At Capco, we prioritize your career growth and well-being. You will have a personal coach to support your development and a flat hierarchy that encourages you to share and implement your ideas. Plus, our team events, sports activities, and networking opportunities help you stay connected and engaged beyond work.

Curious to learn more? Apply now – it only takes 5 minutes!

📩 Contact: Zora Paulikova – zora.paulikova@capco.com

💻 Connect on LinkedIn: Zora Paulikova | LinkedIn

#fulltime

Source

Posted by Capco on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 02:15 UTC; the original is the reference.

View the original ad ↗

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