Job
- Level
- Senior
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg, Stuttgart
- Working Model
- Hybrid, Onsite
Job Summary
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.
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.
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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.
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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.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Sogeti Deutschland GmbH
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.
Description
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Senior Cloud Data Engineer
- Location
- Hamburg, Stuttgart
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
