drjobs Senior Data Scientist Databricks (mf)

Senior Data Scientist Databricks (mf)

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1 Vacancy
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Job Location drjobs

Madrid - Spain

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Our Engineering community is growing and were now looking for a Senior Data Scientist - Databricks (m/f/*) to join our team in Spain 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 Spain)
  • 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

  • Hands-on experience with Databricks (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 Spanish & 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


Required Experience:

Senior IC

Employment Type

Full Time

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