Job
In this role, you will build robust ETL/ELT pipelines and modern data architectures on cloud platforms like Azure or AWS to enable complex analytics and AI projects while ensuring data quality and governance.
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Job technologies
Your role in the team
- You design and implement scalable cloud data platforms for analytics, AI, and automation use cases.
- You develop high-performance ETL/ELT pipelines as well as modern Lakehouse and Data Warehouse architectures with a focus on data quality, governance, and observability.
- You implement and further develop technological solutions based on Azure, AWS, Databricks, Microsoft Fabric, Spark, and streaming services to create future-proof platforms.
- You analyze technical requirements and translate them into secure, efficient, and AI-capable data architectures.
- You work closely with clients and interdisciplinary teams, actively shaping DataOps, CI/CD, and automation approaches.
Our expectations of you
Education
- Relevant Cloud and Data certifications are desirable (e.g., Microsoft Azure or Power BI, such as PL-300) as well as an IT degree or a comparable qualification.
Qualifications
- You have solid knowledge of Python, SQL, and Spark, and use these to develop high-performance data pipelines for analytics and AI use cases.
- You work with modern data platforms such as Azure Data Services, Databricks, or Microsoft Fabric and are familiar with Lakehouse and Data Warehouse architectures.
- A strong passion for modern data platforms, AI innovations, and technological advancement characterizes you.
- You communicate clearly with clients, stakeholders, and technical teams.
- You work independently, in a structured manner, and with a high quality standard.
- You bring team spirit and navigate confidently in agile project environments.
- Willingness to travel for project-based assignments in Germany, along with very good German language skills (at least C1) and business-fluent English, are part of your profile.
Experience
- You have experience in the development and operation of cloud data platforms, e.g., in Azure, AWS, or Databricks.
- You have experience in data modeling, data integration, and processing large datasets, as well as with DataOps and CI/CD approaches.
What we offer
- At Sogeti, you combine your knowledge with your passion for technology, drive forward innovative topics, and actively shape the world of tomorrow.
- We offer you an environment where you can continuously develop yourself.
- Our range of training programs helps you discover a world of opportunities - whether through technical training, online courses, mentoring, coaching, or specialized programs for executives.
- We place great importance on work-life balance.
- Work in a hybrid manner by arrangement, from the office, from home, at other Capgemini locations in Germany, or from abroad.
- Flexible working time models support you.
Benefits
Work-Life-Integration
Health, fitness & fun
Topics you will work on
Job locations
About your employer
Testing and quality assurance of software is our strength. We are a leader in this field and part of the international Capgemini Group. For us, performance is always in the foreground. To achieve this, we rely on an open and team-oriented working environment with flat hierarchies, in which ideas and innovations can develop.
- 50-249 Employees
- Established Company
- Onsite, Hybrid
- Consulting · Internet, IT, Telecommunication
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