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Urgent! Senior Machine Learning Engineer - Databricks (m/f/*) Job Opening In madrid – Now Hiring Ultra Tendency

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



Job description

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

We’re growing our Engineering team in Spain and are seeking a Senior ML Engineer to join our work with global impact.

You will design and implement advanced data and AI solutions on the Databricks Lakehouse Platform, focusing on robust ML pipelines, GenAI capabilities, and production‑grade solutions that enable data‑driven innovation at scale.

Overview

Role: Senior Machine Learning Engineer – Databricks (m/f/*)

Location: Spain

About Ultra Tendency: 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.

We value continuous learning, a supportive network, and work‑life balance.

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 (Azure, AWS, or GCP), 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 (scikit‑learn, pandas).

  • Experience building production‑ready ML pipelines and working with large‑scale datasets.

  • Familiarity with orchestration tools (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.

Benefits and Perks
  • Career acceleration with outstanding colleagues in a learning‑oriented community across 3 continents.

  • Opportunity to contribute ideas and turn them into real projects.

  • Flexible work setup: home, office, or hybrid.

  • Annual performance reviews with regular feedback; value creation through networks rather than hierarchies.

  • Individual development plan and professional development opportunities.

  • Educational resources including paid certifications and Udemy Business access.

  • Local, virtual, and global team events to build strong connections.

About Us and Culture

Ultra Tendency is an international premier Data Engineering consultancy.

We contribute to open‑source projects and work with major enterprises such as the European Central


Required Skill Profession

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