About the Role
The role involves building and optimizing data infrastructure to ensure efficient data flow across systems. You will collaborate with cross-functional teams to support analytics, reporting, and machine learning initiatives through robust data solutions.
Responsibilities
- Design and implement data pipelines for large-scale datasets
- Maintain and improve data storage systems
- Ensure data accuracy and accessibility across platforms
- Optimize data workflows for performance and reliability
- Collaborate with analytics and engineering teams
- Monitor data pipeline health and resolve issues
- Support data governance and compliance standards
- Develop ETL processes for structured and unstructured data
- Work with cloud-based data platforms
- Contribute to documentation and system architecture
- Troubleshoot data integration problems
- Improve data quality and validation procedures
- Scale infrastructure to meet growing data demands
- Integrate third-party data sources
- Assist in defining data modeling standards
- Automate routine data operations
- Participate in code reviews and system design
- Ensure security practices in data handling
- Support real-time and batch data processing
- Evaluate new data tools and technologies
- Help onboard team members to data systems
- Align data architecture with business goals
- Maintain metadata and data lineage records
- Collaborate on data warehouse enhancements
- Respond to data access and performance requests
Compensation
Competitive salary based on experience and location
Work Arrangement
Remote-first with team members in Germany and the US; occasional travel may be required
Team
Collaborative, distributed team focused on data infrastructure and system reliability
Why This Role Matters
- Your work will directly impact how data is collected, stored, and used across the organization
- You will enable faster insights and better decision-making through reliable data systems
Tech Stack
- Primary tools include Python, SQL, Apache Airflow, AWS, Docker, and Kubernetes
- Data is stored in cloud data warehouses with automated pipeline orchestration
Growth Opportunities
- Opportunities to lead data architecture initiatives
- Access to training and conferences for professional development
Culture & Values
- Emphasis on transparency, accountability, and continuous improvement
- Team values clear communication and mutual respect across time zones
Available for candidates requiring work authorization in Germany
