Data Engineer

Capco

Job details

  • ONSITE
  • UNKNOWN
  • Czech Republic - Brno
  • Verified 2026-09-25
  • Source: Capco public GREENHOUSE source

Original job description

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

As a Data Engineer, you will build and operate pipelines for your client's data platform in a regulated financial services environment. You will connect priority sources to the Azure Databricks Bronze layer, transform data into your client Enterprise Data Model / Silver layer and prepare data for APIs, Power BI, analytics and AI. You will work with architects, business teams and governance functions to deliver transparent, high-quality and reusable solutions.

  • You support agile delivery of data-engineering solutions from functional requirements and source analysis through development, testing, deployment and operational handover
  • You implement ingestion and onboarding of priority data sources into the Azure Databricks (Bronze layer) and build transformations into your client Enterprise Data Model (Silver layer)
  • You implement source-to-target mappings, business rules and use-case-specific pre- and post-processing while maintaining efficient, traceable and reusable pipelines
  • You apply data-quality, metadata and lineage requirements and work with Okta access-management and Microsoft Purview data-governance controls as part of platform delivery
  • You support the lifecycle of data products and their consumption through APIs / MCP interfaces, Power BI and other approved use cases, including defect resolution and operational support
Skills and Expertise
  • You have a successfully completed university degree, for example in computer science, business information systems, engineering, natural sciences or a comparable discipline
  • You have practical experience developing data pipelines and data-platform solutions, ideally in regulated financial services, banking or asset-management environments
  • You bring at least three years of relevant development experience with SQL and good Python skills, together with hands-on experience in data transformation and integration
  • You have hands-on experience with Azure Databricks and data-lake / data-warehouse concepts, including Bronze / Silver processing and enterprise data models
  • You understand APIs and MCP interfaces and can work with data-governance requirements covering access controls, Microsoft Purview data-loss prevention, metadata, lineage and data quality
  • You have experience analysing legacy or heterogeneous source data, translating business rules into technical transformations and supporting reusable data products for reporting, analytics or AI;
  • Fluency English (German is a big advantage)
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 – [email protected]
💻 Connect on LinkedIn: Zora Paulikova | LinkedIn

 

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