Data & Automation Engineer

Project overview

Hello, Kleever is looking for a Data & Automation Engineer for its client.

The context:

As part of the development of its technological platforms, our client is looking for a Data & Automation Engineer to support the industrialization of its data collection, processing, and exploitation processes.

You will join a technical team specialized in Data and Automation, with a clear objective: to design robust and intelligent solutions to simplify operations, ensure data reliability, and automate high-value-added tasks.

At the heart of projects combining Data Engineering, observability, and artificial intelligence, you will be involved in the entire lifecycle of the solutions, from design to production.

Your missions

In collaboration with the technical and operational teams, your responsibilities will include:

Technical environment

You will work in a modern technical environment, based in particular on:

The solutions are mainly deployed on internal infrastructures (self-hosted).

Profile sought

You are an engineer passionate about Data and automation, with a pragmatic approach to software development.

Your skills:

Skills that will make a difference:

What will make you successful

Beyond technical skills, we are looking for someone:

Why join this project?

📍 Location: Paris

📄 Contract: Long-term mission or

💻 Expertise: Python, Data Engineering, Automation & AI

Recruitment process

Looking forward to hearing from you cordially

• Designing and developing data pipelines to automate the collection, transformation, storage, and analysis of large volumes of data.
• Developing integrations via REST APIs to centralize data from different sources and facilitate its exploitation by internal teams.
• Implementing monitoring and observability solutions with performance indicators, dashboards, and alerting systems.
• Industrializing automated testing processes, from execution to analysis and reporting of results.
• Participating in the development of tools integrating artificial intelligence, particularly AI agents to automate the analysis and qualification of incidents.
• Improving existing workflows and tools, ensuring their reliability, maintainability, and scalability.
• Ensuring technical documentation and contributing to best practices for development and deployment.
• Languages: Python, SQL, Bash
• Databases: PostgreSQL, ClickHouse
• Data Orchestration: Prefect, Airflow
• Integration & Automation: REST APIs, automated workflows
• Observability: Grafana, Prometheus
• Infrastructure & DevOps: Kubernetes, Git, CI/CD
• Artificial Intelligence: AI Agents, LLM
• You have mastered Python and have concrete experience in developing applications or processes used in production.
• You have solid Data Engineering skills, particularly in SQL and data pipeline design.
• You have a good knowledge of relational and analytical databases.
• You are comfortable with REST APIs, system integration, and process automation.
• You are familiar with monitoring tools and modern deployment environments.
• You are capable of designing reliable, maintainable solutions adapted to operational needs.
• You have professional English skills to collaborate in an international context.
• Experience in developing automated testing frameworks or tools.
• Initial experience on projects integrating LLMs or AI agents.
• Good knowledge of Kubernetes and CI/CD practices.
• Autonomous and proactive, capable of taking ownership of their subjects from start to finish.
• Pragmatic, who favors concrete and actually used solutions.
• Curious, with an interest in new technologies and artificial intelligence.
• Collaborative, enjoying exchanges with technical and business teams.
• Concrete technical projects with a direct impact on operations.
• An environment combining Data Engineering, automation, and artificial intelligence.
• Large-scale data processing challenges.
• Real autonomy in the design and industrialization of solutions.
• The opportunity to contribute to tools used daily by multiple teams.
• All information will be provided during the first exchange with the recruiter.

Project details

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