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

Talent Connect
Pontevedra, Spain
8 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience required
3 years minimum
Compensation
€52,000.0 - €62,400.0
Working hours
Regular working hours

Tech stack

Microsoft Azure Continuous Integration Data Infrastructure Machine Learning Performance Tuning SQL Databases Apache Spark Data Lakes Pyspark Git Flow Machine Learning Operations Data Pipelines
+1 more
Databricks

Job 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.

Requirements

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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Apply on www.buscojobs.com.es
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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:05 min

Enhancing Databricks tooling for software engineering workflows

Alan Mazankiewicz · LIVE

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

5:02 min

Mapping Git flow branches to application tester segments

Majid Hajian · LIVE

2:38 min

Overview of Databricks and interactive data processing

Alan Mazankiewicz · LIVE

6:24 min

Distributed data lakes and containerized computing clusters

Ulrich Wurstbauer +1 · LIVE

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