Data Warehouse Engineer
Offer summary

(Summary generated by AI based on the full job description)

The project involves maintaining and enhancing Data Warehouse solutions for a leading insurance client within a complex enterprise environment. Key technologies include Oracle Database, PL/SQL, Oracle Data Integrator, Oracle GoldenGate, Java, Linux/Bash, Git, and CI/CD. Responsibilities cover supporting ETL/ELT, analyzing system dependencies, ensuring platform stability, and maintaining technical documentation with a focus on high data quality and process reliability.

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Data Warehouse Engineer

Company: Capgemini Polska

from: 4 September 2026
to: 4 October 2026
salary not specifiedcontract of employment (full-time)
Offer parameters
level:mid
working mode:hybrid
Wrocław, Fabryczna
Wrocław, FabrycznaLegnicka 48View on map

Requirements

Expected technologies

Oracle
PL/SQL
Oracle Data Integrato

Optional technologies

Java
Linux
Bash
Git
Docker

Operating system

Linux

Our requirements

  • Hands-on experience in Data Warehousing and data integration environments.
  • Experience supporting, maintaining, or developing complex data platforms.
  • Comfortable working in structured, process-driven environments with established quality standards.
  • Ability to understand and navigate large-scale, highly integrated systems.
  • Strong team player with a collaborative mindset and willingness to share knowledge.
  • High attention to detail, accountability, and commitment to delivering quality solutions.
  • Ability to work in an environment that requires a gradual learning curve and deep domain understanding.
  • Practical experience with:
  • Oracle Database (RDBMS)
  • PL/SQL
  • Oracle Data Integrator (ODI)
  • Oracle GoldenGate
  • Java
  • Linux/Bash
  • Git
  • CI/CD tools and practices
  • Data Modelling and Data Warehousing concepts

Optional

  • Experience within the Insurance or Financial Services sector.
  • Basic knowledge of German.
  • Experience supporting legacy system modernization or transformation initiatives.
  • Experience working in small, highly specialized teams.
  • Knowledge of data quality management, data lineage, and governance practices

Your responsibilities

  • Maintain and enhance existing Data Warehouse solutions operating within a legacy environment.
  • Support, monitor, and troubleshoot ETL/ELT processes and data integration pipelines.
  • Analyze dependencies between systems and ensure consistency of data flows across the landscape.
  • Implement changes in line with established standards, governance principles, and operational processes.
  • Collaborate closely with team members to ensure platform stability and business continuity.
  • Create and maintain technical documentation, specifications, and data lineage artifacts.
  • Ensure high data quality, process reliability, and production system stability.
  • Assess the impact of proposed changes on existing solutions and business processes.
Company

About the project

At Capgemini’s Insights & Data practice, we help organizations unlock the value of data, analytics, and modern technologies to make better business decisions. We deliver projects for global clients across various industries, combining deep technical expertise with a strong understanding of business processes.
We are currently looking for a Data Warehouse Engineer to join a project delivered for a leading insurance client. This role focuses on maintaining and enhancing mission-critical Data Warehouse solutions operating within a complex enterprise environment. You will join a small, highly skilled team where collaboration, knowledge sharing, and ownership play a key role in ensuring the reliability and long-term sustainability of the platform.

What we offer

  • Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.
  • Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform,  Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
  • Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card.

Benefits

  • sharing the costs of sports activities
  • private medical care
  • life insurance
  • no dress code
  • parking space for employees
  • extra social benefits
  • redeployment package
  • employee referral program
  • charity initiatives
  • access to courses e.g. Excel, VBA, RPA, Customer Care
  • unlimited access to Udemy Business
  • free chat/call with a therapist

Recruitment stages

  • 1.
    Interview with the recruiter
  • 2.
    Competency Tests/Language Verification
  • 3.
    Video call with a manager
  • 4.
    Final Decision

Capgemini Polska

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

This is how we work

Data Warehouse Engineer
I apply to:
Capgemini Polska
Wrocław, Fabryczna
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