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# Senior Data Platform Engineer

- **Company:** N-iX
- **Location:** La Unión, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, BigQuery, Data Infrastructure, Data Warehousing, Identity and Access Management, Python (Programming Language), HybridCloud, Data Lakes, AWS Data Analytics, Virtual Agents
- **Published:** August 6, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=04489d375d838c65

## About the Role

Hybrid cloud: AWS and GCP.
Data lake design.
Orchestration, e.g. Airflow.
IAM/access management.
Cost optimisation.
Observability.
BigQuery and AWS data lake patterns (Athena, S3, Glue).
Python.

## Description

The client is currently in an AI transformation phase, transitioning to Agentic AI Development, and is seeking a Senior Data Platform Engineer to support this transformation. They run a hybrid cloud setup: AWS-first overall, with GCP (BigQuery as primary data warehouse) for data platform and analytics workloads. The Data Platform Engineer will set up and maintain the data infrastructure (data lakes, pipelines, IAM, observability, cost optimisation) that Data Engineers then use to operate on data. Work is expected to be a mix of existing codebase and new functionality., Architect and operate data infrastructure across hybrid cloud (AWS + GCP).
Design data lakes; orchestrate pipelines (e.g. Airflow).
Manage IAM/access management and cost optimisation.
Maintain observability across the data platform.
Work with both BigQuery and AWS data lake patterns (Athena, S3, Glue).
Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation.
Embed directly into a client squad as a hands-on Individual Contributor (not a coaching/managerial role).


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