Senior Data Engineer 100% (m / w / d), Madrid

Senior Data Engineer 100% (m / w / d)

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let s shape the future of wealth management together. Support the development of a Python-based enterprise data hub (integrated with Oracle) and advance the MLOps infrastructure. This role combines DevOps excellence with hands-on machine learning engineering to deliver scalable, reliable, and auditable ML solutions. Key objectives include automating CI / CD pipelines for data and ML workloads, accelerating model deployment, ensuring system stability, enforcing infrastructure-as-code, and maintaining secure, compliant operations.

YOUR CHALLENGE

• Design and maintain CI / CD pipelines for Python applications and machine learning models using GitLab CI / Jenkins, Docker, and Kubernetes
• Develop, train, and evaluate machine learning models (e.g., using scikit-learn, XGBoost, PyTorch) in close collaboration with data scientists
• Orchestrate end-to-end ML workflows including pre-processing, training, hyperparameter tuning, and model validation
• Deploy and serve models in production using containerised microservices (Docker / K8s) and REST / gRPC APIs
• Manage the MLOps lifecycle via tools like MLflow (experiment tracking, model registry) and implement monitoring for drift, degradation, and performance
• Refactor exploratory code (e.g., Jupyter notebooks) into robust, testable, and version-controlled production pipelines
• Collaborate with data engineers to deploy and optimise the data hub, ensuring reliable data flows for training and inference
• Troubleshoot operational issues across infrastructure, data, and model layers participate in incident response and root cause analysis

YOUR PROFILE

Education and Skills Requirements - Education : Bachelor of Science (BS) in Computer Science, Engineering, Data Science, or related field. Certifications such as CKA, AWS / Azure DevOps Engineer, or Google Cloud Professional DevOps Engineer are a plus

Technical Skills :

Experience : - Minimum 5 years in DevOps, SRE, or ML Engineering roles, with at least

Languages : - English is a must

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Python, XGBoost, PyTorch, Jenkins, gitlab