Senior Machine Learning Engineer - Databricks (m/f/*)

Ultra Tendency; Lisboa; Híbrido; EUR 50 000 - 70 000; Tempo integral

Resumo da oferta

A leading data consultancy in Portugal is seeking a Senior Machine Learning Engineer to lead the design and implementation of advanced ML solutions. You will develop robust pipelines on Databricks and collaborate with engineering teams while guiding junior members. The ideal candidate has strong experience in ML and data processing with a focus on scalable solutions. This role offers flexible work arrangements and opportunities for professional growth.

Serviços

Flexible work options

Professional development opportunities

Educational resources

Qualificações

• 3–5 years of experience in solution engineering or similar hands-on technical roles.
• Hands-on experience with Databricks, Spark (Python or Scala), Delta Lake, and MLflow.
• Deep understanding of the machine learning lifecycle.

Responsabilidades

• Design, develop, and maintain scalable machine learning pipelines on Databricks.
• Perform exploratory data analysis and modeling to support data-driven use cases.
• Collaborate with data engineers to translate real-world problems into ML solutions.

Conhecimentos

Machine Learning

Databricks

Python

Spark

Problem-solving

Ferramentas

MLflow

Delta Lake

Descrição da oferta de emprego

Overview

Our Engineering community is growing, and we’re now looking for a Senior ML Engineer - Databricks, to join our team in Portugal, supporting our global growth.

As a Senior Machine Learning Engineer, 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 Portugal)
• 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
• 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 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 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 [e-mail]

About Us

Ultra Tendency is an international premier Data Engineering consultancy for Big Data, Cloud, Streaming, IIoT 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 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 including Ansible, Terraform, NiFi, and Kafka. 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.

Data privacy statement: Data Protection for Applicants – Ultra Tendency