Senior Data Scientist Databricks (mf)

Magdeburg - Germany

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Our Engineering community is growing and were now looking for a Senior Data Scientist - Databricks (m/f/*) to join our team in Germany supporting our global growth.

As a Senior Data Scientist (m/f/*) 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 (candidates must be located in Germany)
A chance to accelerate your career and work with outstanding colleagues in a supportive learning community split across 3 continents
Contribute your ideas to our unique projects and make an impact by turning them into reality
Balance your work and personal life through our workflow organization and decide yourself if you workat home in the office or on a hybrid setup
Annual performance review and regular feedback cycles generating distinct value by connecting colleagues through networks rather than hierarchies
Individual development plan professional development opportunities
Educational resources such as paid certifications unlimited access to Udemy Business etc.
Local virtual and global team events in which UT colleagues become acquainted with one another

WHAT YOULL DO

Design develop and maintain scalable machine learning pipelines on the Databricks Lakehouse Platform using Spark Delta Lake and MLflow.
Performexploratory data analysis (EDA) data cleaning feature engineering and model evaluation to support data-driven use cases.
Collaborate with data engineers and business stakeholders totranslate 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 inMLOps ensuring reproducibility governance and scalability of ML solutions.
Guide and mentor team members on Databricks ML engineering best practices

WHAT YOULL BRING

35 years of experience in solution engineering or similar hands-on technical roles.
Hands-on experience withDatabricks (on Azure AWS or GCP) especially Spark (PySpark or Scala) Delta Lake and MLflow.
Deep understanding of the machine learning lifecycle including data prep modeling evaluation and deployment.
Proficiency in Python with solid foundations in ML libraries (e.g. scikit-learn pandas).
Experience building production-ready ML pipelines and working with large-scale datasets.
Familiarity with orchestration tools (e.g. Databricks Workflows Airflow) and version control (Git/GitHub).
Strong problem-solving and communication skills with the ability to explain complex models and logic to stakeholders.
Professional German & English communication skills (C1-level written and spoken).

Nice to have

Experience with MLOps workflows: model monitoring automated retraining A/B testing.
Exposure to cloud-native architectures CI/CD for ML and infrastructure-as-code (e.g. Terraform).
Knowledge of Databricks Unity Catalog for model governance and security.
Experience working in regulated or enterprise data environments.

Did we pique your interest or do you have any questions

We want to hear from you: contact us at

ABOUT US

Ultra Tendency is an international premier Data Engineering consultancy forBig Data Cloud StreamingIIoT andMicroservices. We design build and operate large-scale data-driven applications for major enterprises such as the European Central Bank HUK-Coburg Deutsche Telekom and Europes largest car manufacturer. Founded in Germany in 2010 UT has developed a reliable client base and now runs 8 branches in 7 countries across 3 continents.

We do more than just leverage tech we build it. At Ultra Tendency we contribute source code to 20 open-source projects includingAnsible TerraformNiFi andKafka. Our impact on tech and business is there for anyone to see. Enterprises seek out Ultra Tendency because we solve the problems others cannot.

We love the challenge: together we tackle diverse and unique projects you will find nowhere our knowledge community you will be a part of a supportive network not a hierarchy. Constant learning and feedback are our drivers for stable development. With us you can develop your individual career through work-life balance.

We evaluate your application based on your skills and corresponding business requirements. Ultra Tendency welcomes applications from qualified candidates regardless of race ethnicity national or social origin disability sex sexual orientation or age.

Data privacy statement:Data Protection for Applicants Ultra Tendency

Required Experience:

Senior IC

Our Engineering community is growing and were now looking for a Senior Data Scientist - Databricks (m/f/*) to join our team in Germany supporting our global growth.As a Senior Data Scientist (m/f/*) you will lead the design and implementation of advanced data and AI solutions on the Databricks Lakeh...