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# Platform Data Engineer

- **Company:** PVcase
- **Location:** Spain (Remote available)
- **Salary:** €64,000.0 - €84,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Airflow, Amazon Web Services, Amazon S3, Cloud Database, Cloud Engineering, Code Review, Extract Transform Load (ETL), Document-Oriented Databases, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Enterprise Messaging Systems, Performance Tuning, SQL Databases, Workflow Management Systems, Data Ingestion, Event Driven Architecture, Data Lineage, Data Analytics, Terraform
- **Published:** July 30, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=506a5ca238dc8042

## About the Role

* Proficiency in SQL and Python.
 * Proven experience as a data or platform engineer, or in a comparable role.
 * Hands-on experience with AWS (S3, IAM, and related services).
 * Strong problem-solving skills and attention to detail.
 * Experience with cloud-based data warehousing.
 * Familiarity with transformation tooling such as dbt.
 * Experience with workflow orchestration tools (e.g. Airflow or equivalent).
 * Familiarity with infrastructure-as-code (e.g. Terraform).
 * Understanding of data modelling and ETL/ELT patterns.
 * Familiarity with messaging systems and event-driven architectures (e.g. cloud-native queues).
 * Able to collaborate effectively within a small team and with cross-functional stakeholders.
 * Comfortable working with some autonomy while escalating decisions where appropriate.

## Description

* Architect, optimize, and maintain scalable ETL/ELT pipelines, data lakes, and cloud data warehouses to support both internal analytics and external, client-facing data products.
 * Write clean transformation logic using tools like dbt and manage robust workflow orchestration (e.g., Airflow), taking ownership of system monitoring, performance tuning, and incident resolution.
 * Maintain and evolve AWS-based messaging infrastructure (queues, schemas, event streams) to ensure reliable, high-throughput, and low-latency data ingestion across systems.
 * Design secure, performant, and well-documented data entry/consumption points (such as S3 interfaces) that empower product teams to build data-as-a-product features.
 * Support scalable deployment using Terraform (Infrastructure-as-Code) while maintaining least-privilege AWS IAM access, data lineage, data contracts, and cataloging.
 * Collaborate cross-functionally with engineers, product managers, and analysts to turn complex business needs into reusable, self-serve platform solutions.
 * Participate in code reviews, document data architectures and workflows, and help elevate engineering best practices across the team.


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