Senior Data Engineer (m/w)

The Senior Data Engineer is responsible for designing, implementing, and maintaining enterprise-scale data architecture solutions. This role designs and develops a greenfield data lakehouse system, including data ingestion pipelines, storage optimization, and high-performance query APIs. The position requires hands-on technical implementation combined with strategic architectural design skills and English speaking individual.

Data Architecture Design

• Understand PROBIS data model, identify bottlenecks and translate into
• actionable designs
• Design a modern data lakehouse architecture for greenfield implementation
• Architect scalable data storage and processing solutions using Azure
• ecosystem and applicable open source components
• Design the best stack for the job, considering data sovereignty and storage
• requirements in target markets

Technical Implementation

• Implement data ingestion pipelines from existing postgres database systems
• and integrations
• Improve the .net based data access of existing postgres system
• Build and verify high-performance query APIs on top of the greenfield design, enabling orders of magnitude growth in data volume, with improved performance
• Develop and optimize data transformation processes
• Set up monitoring and observability for reliable live operation

System Integration

• Integrate the data lakehouse with existing enterprise systems
• Design and implement performant query engines for user interfaces
• Ensure data consistency and quality across integrated systems

Documentation and Compliance

• Execute performance and consistency testing under increased loads
• Collect evidence and document the architecture
• Ensure compliance and support necessary certification processes, * Opportunity to work with cutting-edge AI, cloud technologies and tools
• Full access to our comprehensive toolset
• Flexible remote work options with home office capability
• International, team-oriented atmosphere with flat hierarchies
• Culture of open feedback and quick decision-making processes
• Regular team and company events
• Opportunity to shape the technical direction of a growing PropTech company

• Minimum 6 years of experience in data engineering
• Minimum 4 years of hands-on experience with Microsoft Azure data services
• Proven track record of shipping performant data projects on Azure / Postgres / Data Factory / Databricks

Technical Skills

• Expert proficiency in Microsoft Azure data platform (Synapse, Data Factory, SQL Databases, Data Lake)
• Good .NET Core development skills
• Strong SQL and database (psql) optimization capabilities
• Experience with data modeling techniques and methodologies
• Ideally, experience with sovereign data solutions including Spark based data warehousing
• Knowledge of ETL/ELT processes and data pipeline design

PROBIS is a fast-growing PropTech startup from Munich that is currently redefining financial controlling for real estate projects worldwide with its cloud-based platform - from high-rises in New York to megaprojects in Saudi Arabia. Our software is technically sophisticated, complex in terms of content - and yet should be easy and intuitive for our users to operate.