Data Platform Engineer - AWS / Databricks / CICD/IAC

Project overview

We are looking for an experienced Data & AI Platform Engineer with at least 5 years of experience in Data Engineering, capable of working on data engineering, cloud infrastructure automation, and Data & AI platform operations.

The ideal candidate will master the AWS / Databricks / Python / PySpark / SQL / Terraform / CI/CD ecosystem, with a strong awareness of security, governance, reliability, and cost optimization challenges.

The five major areas of the mission are:

Technical skills:

• AWS & Databricks: implementation, security, and operation of Data & AI platforms.
• Data Engineering: development and optimization of data pipelines with Python, PySpark, SQL, and Delta Lake.
• DevOps & Infrastructure as Code: Terraform automation, GitHub Actions, and CI/CD.
• Platform Engineering & FinOps: observability, reliability, performance, and cost control.
• Generative AI & AI Agents: contribution to use cases integrating Amazon Bedrock, AgentCore, and Databricks Agent Bricks.
• Strong expertise in Python, SQL, and data engineering best practices (PySpark, DBT).
• Deep hands-on experience with Databricks (jobs, notebooks, Delta Lake, Unity Catalog).
• Strong expertise of AWS (data services, security, IAM, networking fundamentals).
• Solid experience with Terraform and CI/CD pipelines, preferably GitHub & GitHub Actions.
• Knowledge of data quality, observability, and cost optimization patterns.

Nice to have

Languages:

• Databricks
• AWS
• Proficient in French and English

Project details

• Start: flexible
• Remote: hybrid
• Location: Paris, France, FR
• Languages: French