Data Warehouse Engineer @ Capgemini Polska Sp. z o.o.
Capgemini Polska Sp. z o.o. · Wrocław, Poland ·
- Work mode
- Hybrid
- Category
- Logistics
Capgemini Polska Sp. z o.o. · Wrocław, Poland ·
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 YOU'LL LOVE ABOUT WORKING HERECapgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.
ABOUT CAPGEMINICapgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries. The Group reported 2025 revenues of €22.5 billion.
APPLY NOW!
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 YOU'LL LOVE ABOUT WORKING HERECapgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.
ABOUT CAPGEMINICapgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries. The Group reported 2025 revenues of €22.5 billion.
APPLY NOW!
,(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.) Requirements: Oracle Data Integrator, CD tools Additionally: Training budget, Sport subscription, Private healthcare, International projects, Free coffee, Bike parking, Free parking, Mobile phone, In-house trainings, Modern office, No dress code.