Senior Data Scientist - Databricks (m/f/*)

Senior Data Scientist - Databricks

Our Engineering community is growing, and we’re looking for a Senior Data Scientist to join our team in Germany, supporting our global growth.

As a Senior Data Scientist, you will lead the design and implementation of advanced data and AI solutions on the Databricks Lakehouse Platform. Your focus will lie in building robust ML pipelines, enabling GenAI capabilities, and delivering production-grade solutions that support data-driven innovation at scale.

What We Offer

• Flexible work options, including fully remote or hybrid arrangements
• A chance to accelerate your career and work with outstanding colleagues in a supportive learning community
• Contribute your ideas to our unique projects and make an impact
• Balance your work and personal life through our workflow organization
• Annual performance review, and regular feedback cycles
• Individual development plan, professional development opportunities
• Educational resources such as paid certifications, unlimited access to Udemy Business
• Local, virtual, and global team events

What You’ll Do

• Design, develop, and maintain scalable machine learning pipelines on the Databricks Lakehouse Platform
• Perform exploratory data analysis, data cleaning, feature engineering, and model evaluation
• Collaborate with data engineers and business stakeholders to translate real-world problems into ML solutions
• Deploy models using MLflow, manage model versioning, and set up monitoring and retraining strategies
• Optimize the performance and cost-efficiency of ML workloads on Databricks clusters
• Apply best practices in MLOps, ensuring reproducibility, governance, and scalability of ML solutions
• Guide and mentor team members on Databricks, ML engineering best practices

What You’ll Bring

• 3–5 years of experience in solution engineering or similar hands-on technical roles
• Hands-on experience with Databricks, especially Spark, Delta Lake, and MLflow
• Deep understanding of the machine learning lifecycle
• Proficiency in Python, with solid foundations in ML libraries
• Experience building production-ready ML pipelines and working with large-scale datasets
• Familiarity with orchestration tools and version control
• Strong problem-solving and communication skills
• Professional German & English communication skills

Nice to have

• Experience with MLOps workflows
• Exposure to cloud-native architectures, CI/CD for ML, and infrastructure-as-code
• Knowledge of Databricks Unity Catalog for model governance and security
• Experience working in regulated or enterprise data environments

Ultra Tendency is an international premier Data Engineering consultancy. We design, build, and operate large-scale data-driven applications for major enterprises. We welcome applications from qualified candidates regardless of race, ethnicity, national or social origin, disability, sex, sexual orientation, or age.

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