About the role

Role Overview

Join Idoven as a Senior Data Engineer (Data Ops). You will design and maintain the data pipelines that power AI-driven products and workflows, partnering with Product, Engineering, and Data Science teams.

Key Missions & Responsibilities

Lead design and implementation of high-performance, secure, scalable data pipelines for AI workflows.
Own ingestion, transformation, and integration of large datasets from external partners.
Build data quality, integrity, and regulatory compliance systems.
Develop reusable code and frameworks to streamline data processing.
Monitor, troubleshoot, and optimize data pipelines.
Innovate with emerging technologies and best practices.
Collaborate globally with cross-functional teams.

Requirements

3+ years in DataOps / Data Engineering (or similar), preferably in a regulated industry.
Strong proficiency in SQL and NoSQL databases; experience designing complex pipelines.
Expertise in cloud platforms: AWS, GCP, or Azure.
Experience with Terraform, Kubernetes, and Docker.
Ability to work autonomously, drive projects independently, and deliver measurable results.
Strong communication and leadership skills; ability to mentor and coordinate stakeholders.
English and Spanish fluency.

Nice-to-haves

Exposure to machine learning workflows or AI model integration.
Familiarity with monitoring and visualization tools (e.g., Grafana, Power BI).

About Idoven

Idoven is a fast-growing international team building data foundations for AI-driven products and workflows. The company focuses on high-performance data engineering, secure and scalable pipelines, and data quality and compliance to enable data science and product use cases.