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

Madrid, Community of Madrid, Spain -

Full Time

Start Date

Immediate

Expiry Date

21 Dec, 25

Salary

0.0

Posted On

22 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Databricks, Spark, Delta Lake, MLflow, Python, Data Analysis, Feature Engineering, Model Evaluation, MLOps, Git, Communication, Problem Solving, Cloud Computing, CI/CD, Infrastructure-as-Code

Industry

IT Services and IT Consulting

Description

Our Engineering community is growing, and we’re now looking for a Senior ML Engineer - Databricks, to join our team in Spain, 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 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 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. Fluent English communication skills (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 recruit@ultratendency.com 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

Responsibilities

Design, develop, and maintain scalable machine learning pipelines on the Databricks Lakehouse Platform. Collaborate with data engineers and business stakeholders to translate real-world problems into ML solutions.