Data Engineer

Skywaves Rise; España; Remoto; EUR 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

Skywaves Rise is seeking two Data Analytics Engineers + AI specialists with extensive Google Cloud Platform experience. The roles are primarily remote, with travel to client sites across Europe when required.

Ideal candidates have 7+ years designing, deploying, and maintaining high-performance data platforms and Agentic solutions, plus hands-on GCP expertise (AlloyDB, GCS, GKE, Gemini Enterprise, Vertex AI). Strong Python and CI/CD/MLOps skills are essential.

Competenze

• 7+ years of experience designing, developing, and deploying high-performance data platforms and Agentic solutions.
• Experience designing cloud enterprise solutions and supporting customer projects through to completion.
• Hands-on experience with the GCP stack: AlloyDB, GCS, GKE, Gemini Enterprise, and Agent Platform (formerly Vertex AI).

Conoscenze

Python

BigQuery

Data Engineering

Data Ingestion

Detokenization

GCP

Strumenti

Airflow

AlloyDB

GCS

GKE

Gemini Enterprise

Vertex AI

Agent Platform

Looker

CI/CD pipelines

Descrizione del lavoro

We are seeking two Data Analytics Engineers + AI with extensive GCP experience. The role is primarily remote, but travel for client meetings within Europe will be required.

• Start Date: ASAP
• Location: EU (flexible within the region)
• Language Requirements: English (French, Spanish, or German is a plus)

Required Skills & Experience:

• Core Skills: BigQuery, Data Engineering, Data Ingestion, Detokenization of Data, Airflow, and Python (Looker is a nice-to-have)
• 7+ years of experience designing, developing, and deploying high-performance data platforms and Agentic solutions
• Experience designing cloud enterprise solutions and supporting customer projects through to completion
• Hands-on experience with the GCP stack: AlloyDB, GCS, GKE, Gemini Enterprise, and Agent Platform (formerly Vertex AI)
• Strong Python coding skills (including data structures, algorithms, and system/software design)
• Experience automating infrastructure provisioning, DevOps/MLOps, and CI/CD pipelines