Senior Data Scientist - Databricks (M/F/*)
Senior Data Scientist - Databricks (M/F/*)
Join to apply for the Senior Data Scientist - Databricks (M/F/*) role at Ultra Tendency
Overview
Our Engineering community is growing, and we’re now looking for a Senior Data Scientist to join our team in Portugal, 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.
What We Offer
- Flexible work options, including fully remote or hybrid arrangements (candidates must be located in Portugal)
- A chance to accelerate your career and work with outstanding colleagues in a supportive learning community split across 3 continents
- 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
- 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
- …and additional benefits detailed in the full offer package
Responsibilities
- 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.
Qualifications
- 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 (Py
 Spark 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/Git
 Hub).
- Strong problem‑solving and communication skills, with the ability to explain complex models and logic to stakeholders.
- Professional English communication skills (C1‑level, written and spoken).
- Nice to have: Experience with MLOps workflows, 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.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
Company
Ultra Tendency is an international premier Data Engineering consultancy for Big Data, Cloud, Streaming, IIo
T and Microservices. 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, UT has developed a reliable client base and now runs 8 branches in 7 countries across 3 continents. 
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.
#J-18808-Ljbffr- Informações detalhadas sobre a oferta de empregoEmpresa: Ultra Tendency Localização: Lisboa 
 Lisboa, Lisboa, PortugalPublicado: 31. 10. 2025 
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