About the role This role combines data platform
engineering and MLOps responsibilities, supporting both reliable
analytical data flows and production-ready machine learning
solutions. The person will maintain and improve ETL pipelines,
support the data platform environment, and help deploy, monitor,
and optimize machine learning models in production. The role
requires close cooperation with Data Science, Engineering, BI,
Risk, and IT teams to ensure that data and model processes are
scalable, well-documented, stable, and aligned with business needs.
Key Responsibilities As a Data Platform and MLOps engineer, you
will be part of our Data Platform team and play an important role
in our daily operations. Your responsibilities will include: Deploy
machine learning models into production environments and support
their operational lifecycle. Support cloud-based analytical,
reporting, and machine learning infrastructure. Collaborate closely
with Data Science, Engineering, Risk, BI, and IT teams to align
data and model requirements with production standards. Develop




automation for model deployment, updates, scaling, and recurring
data processing tasks. Implement monitoring for both data pipelines
and machine learning models, including performance, availability,
and quality checks. Ensure reliable operation and continuous
development of the analytical data warehouse environment. Design,
maintain, troubleshoot, and optimize ETL/data pipelines supporting
reporting, analytics, and machine learning use cases. Ensure timely
and high-quality data availability for BI, Risk, Data Science, and
other business stakeholders. Identify, investigate, and resolve
performance issues across data warehouse, ETL, and model deployment
processes. Troubleshoot, debug, upgrade, and improve existing
software, pipelines, and deployment processes. Gather and evaluate
user feedback, recommend improvements, and execute enhancements.
Maintain technical documentation for data processes, model
deployments,

📌 Machine Learning Ops and Data Engineer (Andalucía)
🏢 Avarda Group
📍 Andalucía