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

Ultra Tendency; Madrid; Híbrido; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A data engineering consultancy is seeking a Senior Data Scientist to lead the design and implementation of advanced data and AI solutions. In this role, you will build robust machine learning pipelines, collaborate with engineers, and optimize ML workloads. Ideal candidates have 3-5 years of experience in similar roles, proficiency in Databricks, and strong problem-solving skills. You'll enjoy flexibility in work arrangements and a supportive learning community.

Servicios

Flexible work options

Annual performance review

Educational resources

Local and global team events

Formación

• 3–5 years of experience in solution engineering or similar hands-on technical roles.
• Hands-on experience with Databricks on Azure, AWS, or GCP.
• Deep understanding of the machine learning lifecycle.

Responsabilidades

• Design, develop, and maintain scalable ML pipelines on the Databricks Lakehouse Platform.
• Perform exploratory data analysis (EDA), data cleaning, feature engineering, and model evaluation.
• Collaborate with data engineers to translate real-world problems into ML solutions.

Conocimientos

Machine learning

Data analysis

Collaboration

Problem-solving

Communication Skills

Educación

3-5 years in solution engineering or technical roles

Herramientas

Databricks

Spark

MLflow

Python

Delta Lake

Descripción del empleo

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

Madrid, Madrid, Spain

Our Engineering community is growing, and we’re 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 work at 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
• 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 YOU’LL DO

• Design, develop, and maintain scalable machine learning pipelines on the Databricks Lakehouse Platform using Spark, Delta Lake, and MLflow.
• Perform exploratory data analysis (EDA) , data cleaning, feature engineering, and model evaluation to support data-driven use cases.
• 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 (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?

Ultra Tendency is an international premier Data Engineering consultancy forBig Data, Cloud, Streaming,IIoT 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 Europe’s 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, Terraform,NiFi, 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 else. In 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.

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