> Markdown version of [/jobs/ext/2881663-data-platform-engineer-25-30-an-hour-remote](https://www.wearedevelopers.com/jobs/ext/2881663-data-platform-engineer-25-30-an-hour-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Data Platform Engineer - €25 - €30 An Hour - Remote

- **Company:** Talent Connect
- **Location:** El Lloar, Spain (Remote available)
- **Salary:** €52,000.0 - €62,400.0
- **Contract:** Temporary contract
- **Skills:** Microsoft Azure, Continuous Integration, Data Infrastructure, Machine Learning, Performance Tuning, Standard Sql, SQL Databases, Apache Spark, Caching, Data Lakes, Pyspark, Git Flow, Machine Learning Operations, Terraform, Data Pipelines, Databricks
- **Published:** September 13, 2026
- **Apply:** https://www.buscojobs.com.es/data-platform-engineer-%E2%82%AC-25-%E2%82%AC-30-an-hour-remote-en-lloa-ID-371066070

## About the Role

3-5+ xqysrnh 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

## Description

Data Platform Engineer (Azure Databricks)Desplácese hacia abajo para ver todos los requisitos del puesto y las responsabilidades que pueden esperar los candidatos seleccionados.Fully Remote from Spain€*****/hour12-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 & OperationsImprove implementation patterns across jobs and platform componentsIdentify and resolve scalability, reliability, and maintainability bottlenecksStandardise workspace configurations and environment structuresMonitor platform health and performanceUnity Catalog ManagementMaintain consistent and secure Unity Catalog configurationsEnsure governance structures (catalogs, schemas, grants, service principals) are efficient and developer-friendlyPerformance & Cost OptimisationOptimise compute configurations and autoscaling behaviourAnalyse Spark jobs, Delta Lake usage, and storage layout for performance and cost efficiencyAutomation & Infrastructure-as-CodeAutomate environments using Databricks Asset Bundles (DABs) and TerraformEnsure reproducible, versioned environments aligned with CI/CD principlesMinimise manual configurationDocumentation & GuidanceDocument platform patterns and operational runbooksSupport engineers and analysts working with DatabricksRequired Experience:3-5+ xqysrnh years in Platform (Data) EngineeringStrong hands-on experience with Azure DatabricksStrong knowledge of Unity Catalog (access models, governance, service principals, workspace configs)Solid PySpark and SQL skillsUnderstanding of performance optimisation (partitioning, Z-ordering, caching, data layout)Experience with CI/CD, Git workflows, and Infrastructure-as-CodeBonus: MLOps experienceIf you're based in Spain and available for a 12-month Autonomo contract, feel free to apply or message me directly.


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