Data Engineer developing data solutions for Noda’s smart building technology initiatives. Focused on scalable, high - performance analytics and business intelligence in a hybrid work environment.
About the role
- Senior Data Engineer consulting on the construction of data platforms for customer projects. Involved in Data Lakes, ELT processes, and MLOps in a hybrid work environment.
Responsibilities
- Advising and supporting clients in building data platforms
- Designing and implementing data lakes, data warehouses/lakehouses, ELT processes, streaming analytics, and MLOps
- Cloud-based data engineering to enable data-driven businesses of the future
- Sharing knowledge and mentoring within the team
Requirements
- Degree or vocational training in IT, or career changers with relevant IT experience
- Several years of practical experience in data engineering (building ELT pipelines, data warehousing, streaming analytics)
- Experience using and deploying data services on cloud platforms (AWS, Azure, Google Cloud, ...)
- Experience with Infrastructure as Code frameworks such as Terraform is a plus
- Knowledge of data science and machine learning is a plus
- Experience in business intelligence and data warehousing
- Strong affinity for modern IT technologies
- Very good German language skills
- Willingness to travel occasionally to client sites
Benefits
- Permanent (open-ended) employment contract
- Option to work remotely
- Excellent technical equipment
- Opportunities for shaping your role and professional development
- Individualized training and continuing education
- Duesentrieb Camps
- Flexible arrangements to support work–life balance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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