&##128640; Data Platform Engineer (Azure Databricks)
&##128205; Fully Remote from Spain
&##128176; €25–30/hour
&##128197; 12-month contract (Autonomo setup)
We are looking for a Data Platform Engineer to support and evolve multiple Unity Catalog–enabled Azure Databricks environments.
This role is focused on platform engineering and operations, NOT on building data pipelines or ML models. You will work on improving, automating, and scaling the platform itself.
Key Responsibilities:
Platform Engineering & Operations
Improve implementation patterns across jobs and platform components
Identify and resolve scalability, reliability, and maintainability bottlenecks
Standardise workspace configurations and environment structures
Monitor platform health and performance
Unity Catalog Management
Maintain consistent and secure Unity Catalog configurations
Ensure governance structures (catalogs, schemas, grants, service principals) are efficient and developer-friendly
Performance & Cost Optimisation
Optimise compute configurations and autoscaling behaviour
Analyse Spark jobs, Delta Lake usage, and storage layout for performance and cost efficiency
Automation & Infrastructure-as-Code
Automate environments using Databricks Asset Bundles (DABs) and Terraform
Ensure reproducible, versioned environments aligned with CI/CD principles
Minimise manual configuration
Documentation & Guidance
Document platform patterns and operational runbooks
Support engineers and analysts working with Databricks
Required Experience:
~3–5+ years in Platform (Data) Engineering
~ Strong hands-on experience with Azure Databricks
~ Strong knowledge of Unity Catalog (access models, governance, service principals, workspace configs)
~ Solid PySpark and SQL skills
~ Understanding of performance optimisation (partitioning, Z-ordering, caching, data layout)
~ Experience with CI/CD, Git workflows, and Infrastructure-as-Code
~ Bonus: MLOps experience
&##128233; If you’re based in Spain and available for a 12-month Autonomo contract, feel free to apply or message me directly.