DataOps Lead: Bare Metal & Data Pipelines (Remote)

Unchain Data; France; Hybride; EUR 60 000 - 80 000; Plein temps

Avantages offerts par ce poste

Home office budget

Premium health insurance

Latest generation Mac or equivalent PC

Résumé du poste

Unchain Data is a fast-growing Web3 startup building a visual blockchain investigation tool. We seek a DataOps engineer to own the entire technical infrastructure, including a migration to bare metal and a hybrid Cloud (GCP) setup.

You will shape architecture decisions in collaboration with the CTO and data team. The role focuses on building high-volume data pipelines, managing OLAP databases like ClickHouse, and deploying Python services with FastAPI.

Qualifications

• 2-3+ years of experience with Bare Metal and Kubernetes.
• Strong proficiency with OLAP databases (ClickHouse or equivalent).
• Experience creating and managing high-volume data pipelines.
• Comfortable with Cloud (GCP is a plus) and Python development (FastAPI).
• Fluent French; comfortable working in a fully remote environment.

Responsabilités

• Lead migration and management of Bare Metal infrastructure for the ClickHouse database (dozens of TB).
• Develop and deploy Python services (FastAPI, Cloud functions) for on-chain and off-chain data pipelines.
• Orchestrate containers (Kubernetes) and optimize performance of production services.
• Manage a hybrid Bare Metal / managed Cloud (GCP) infrastructure with autonomy over architecture decisions.
• Collaborate with the CTO and data team to evolve infrastructure with product development.

Connaissances

Bare Metal

Kubernetes

OLAP databases

ClickHouse

Data pipelines

Python (FastAPI)

GCP

French

Outils

Kubernetes

ClickHouse

FastAPI

GCP

Bare Metal

Description du poste

Unchain Data is a fast-growing Web3 startup building a visual blockchain investigation tool. We seek a DataOps engineer to own the entire technical infrastructure, including a migration to bare metal and a hybrid Cloud (GCP) setup.

You will shape architecture decisions in collaboration with the CTO and data team. The role focuses on building high-volume data pipelines, managing OLAP databases like ClickHouse, and deploying Python services with FastAPI.