Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Bremen
- Working Model
- Onsite
Job Summary
In this role, you will design a modern Lakehouse architecture, implement efficient data ingestion pipelines, and optimize data processing for large sensor datasets with a focus on data quality and governance.
Your role in the team
- Design and implementation of a structured Lakehouse architecture that balances high-performance data access with cost-effective storage management.
- Development and operation of reliable data ingestion pipelines for extensive Earth observation and sensor data in batch and streaming scenarios.
- Ensuring robust metadata extraction, schema validation, and data quality checks throughout the entire ingestion process.
- Optimization of data processing performance through the implementation of efficient partitioning and tiling strategies, as well as minimizing unnecessary data movements.
- Enabling high-performance analytics through the design of data layouts that allow compute workloads to be executed close to the storage layer.
- Implementation of comprehensive Data Lineage and Versioning to ensure complete traceability and historical reproducibility of datasets.
- Establishment and maintenance of strict data governance standards, including access controls and secure data processing practices.
- Continuous improvement of the scalability, reliability, and operational performance of the data platform.
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Our expectations of you
Education
- Successfully completed studies in Computer Science, Data Engineering, Business Informatics, or a comparable qualification.
Qualifications
- Expertise in frameworks for distributed data processing and performance optimization for large-scale workloads.
- Very good spoken and written English skills.
- Structured and analytical approach to solving complex challenges in Data Engineering.
- Strong cooperation and communication skills in collaboration with cross-functional engineering and analytics teams.
Experience
- Several years of professional experience in Data Engineering and in building large distributed data platforms.
- Extensive experience in designing and operating modern Data Lake or Lakehouse architectures for large data volumes.
- Experience in building reliable data ingestion pipelines and managing complex data transformation workflows.
- Practical experience in implementing data versioning, lineage tracking, and reproducible data workflows.
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What we offer
- At our Bremen location, we offer you: Company pension scheme.
- 30 vacation days.
- Access to corporate benefits.
- VIVA Family Service.
- Individual and diverse external and internal development opportunities, including in the Rheinmetall Academy.
- Professional onboarding process supported by a digital onboarding.
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Benefits
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Topics that you deal with on the job
Job Locations
This is your employer
Rheinmetall AG
We are the driving force behind the automotive and defense industries. Through our innovative strength and technological expertise, we lead both sectors. We are now systematically building on our strength to achieve our goal.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.5
Workingconditions
4.0Culture
3.6Career Growth
3.6Engineering
3.0
IT specialist - data and process analysis
- Location
- Bremen
- Working Model
- Onsite
- Diversity
- Open for all genders
